apoidea/pubtabnet-html · Datasets at Hugging Face

split stringclasses 1 value	imgid int64 3 549k	html stringlengths 540 86.9k	html_table stringlengths 557 50.4k
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</td> <td> 27 (12.2) </td> </tr> <tr> <td> T4 </td> <td> 30 (13.5) </td> </tr> <tr> <td> N ( <i> n </i> = 222) </td> <td> </td> </tr> <tr> <td> N0 </td> <td> 94 (42.3) </td> </tr> <tr> <td> N1 </td> <td> 112 (50.5) </td> </tr> <tr> <td> N2-3 </td> <td> 16 (7.2) </td> </tr> <tr> <td> Grading ( <i> n </i> = 220) </td> <td> </td> </tr> <tr> <td> G1/G2 </td> <td> 151 (68.6) </td> </tr> <tr> <td> G3 </td> <td> 69 (31.4) </td> </tr> <tr> <td> Histology ( <i> n </i> = 225) </td> <td> </td> </tr> <tr> <td> Ductal </td> <td> 175 (77.8) </td> </tr> <tr> <td> Lobular </td> <td> 22 (9.8) </td> </tr> <tr> <td> All other subtypes </td> <td> 28 (12.4) </td> </tr> <tr> <td> Menopausal ( <i> n </i> = 163) </td> <td> </td> </tr> <tr> <td> Premenopausal </td> <td> 43 (26.4) </td> </tr> <tr> <td> Postmenopausal </td> <td> 120 (73.6) </td> </tr> <tr> <td> ER ( <i> n </i> = 212) </td> <td> </td> </tr> <tr> <td> Positive </td> <td> 135 (63.7) </td> </tr> <tr> <td> Negative </td> <td> 77 (36.3) </td> </tr> <tr> <td> PR ( <i> n </i> = 211) </td> <td> </td> </tr> <tr> <td> Positive </td> <td> 127 (60.2) </td> </tr> <tr> <td> Negative </td> <td> 84 (39.8) </td> </tr> <tr> <td> Metastasis ( <i> n </i> = 218) </td> <td> </td> </tr> <tr> <td> Negative </td> <td> 210 (96.3) </td> </tr> <tr> <td> Positive </td> <td> 8 (3.7) </td> </tr> </tbody> </table> </body> </html>
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<td> - </td> </tr> <tr> <td> 20.0 to 24.9 </td> <td> 114 (65) </td> <td> 196 (62) </td> <td> 0.9 </td> <td> 0.5 to 1.4 </td> </tr> <tr> <td> 25.0 to 29.9 </td> <td> 24 (14) </td> <td> 50 (16) </td> <td> 1.1 </td> <td> 0.5 to 2.0 </td> </tr> <tr> <td> 30.0+ </td> <td> 8 (4) </td> <td> 11 (3) </td> <td> 0.7 </td> <td> 0.3 to 1.9 </td> </tr> <tr> <td colspan="5"> First-degree family history of breast cancer <sup> b </sup> </td> </tr> <tr> <td> No <sup> a </sup> </td> <td> 140 (78) </td> <td> 240 (77) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Yes </td> <td> 39 (22) </td> <td> 72 (23) </td> <td> 1.1 </td> <td> 0.7 to 1.7 </td> </tr> <tr> <td> Parity </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Nulliparous <sup> a </sup> </td> <td> 72 (23) </td> <td> 27 (15) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> 1 live birth </td> <td> 22 (7) </td> <td> 22 (12) </td> <td> 0.4 </td> <td> 0.2 to 0.8 </td> </tr> <tr> <td> 2 live births </td> <td> 56 (17) </td> <td> 43 (24) </td> <td> 0.5 </td> <td> 0.3 to 0.9 </td> </tr> <tr> <td> 3 live births </td> <td> 70 (22) </td> <td> 48 (25) </td> <td> 0.5 </td> <td> 0.3 to 1.0 </td> </tr> <tr> <td> 4 live births </td> <td> 46 (14) </td> <td> 21 (12) </td> <td> 0.8 </td> <td> 0.4 to 1.6 </td> </tr> <tr> <td> 5 or more live births </td> <td> 54 (17) </td> <td> 21 (12) </td> <td> 1.0 </td> <td> 0.5 to 1.9 </td> </tr> <tr> <td> Geographical location </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Cape Cod, Massachusetts <sup> a </sup> </td> <td> 91 (50) </td> <td> 178 (56) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Los Angeles, California </td> <td> 27 (15) </td> <td> 33 (10) </td> <td> 0.6 </td> <td> 0.3 to 1.1 </td> </tr> <tr> <td> Rhode Island </td> <td> 17 (9) </td> <td> 38 (12) </td> <td> 1.1 </td> <td> 0.6 to 2.1 </td> </tr> <tr> <td> Minnesota </td> <td> 28 (15) </td> <td> 34 (11) </td> <td> 0.6 </td> <td> 0.3 to 1.1 </td> </tr> <tr> <td> North Carolina </td> <td> 19 (10) </td> <td> 37 (12) </td> <td> 1.0 </td> <td> 0.5 to 1.8 </td> </tr> <tr> <td colspan="5"> History of benign breast disease </td> </tr> <tr> <td> No <sup> a </sup> </td> <td> 116 (65) </td> <td> 206 (65) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Yes </td> <td> 63 (35) </td> <td> 110 (35) </td> <td> 1.0 </td> <td> 0.7 to 1.4 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 9 </td> <td> 0.48 (0.21 – 1.12) </td> <td> 0.074 </td> </tr> <tr> <td> <i> SULT1A1* </i> 2 <sup> † </sup> </td> <td> Tam- </td> <td> 49 </td> <td> 26 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 50 </td> <td> 24 </td> <td> 0.82 (0.47 – 1.43) </td> <td> 0.48 </td> </tr> <tr> <td> <i> CYP2D61/1 </i> <sup> ‡ </sup> </td> <td> Tam- </td> <td> 55 </td> <td> 27 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 52 </td> <td> 25 </td> <td> 0.91 (0.53– 1.57) </td> <td> 0.75 </td> </tr> <tr> <td> <i> CYP2D64 </i> <sup> ‡ </sup> </td> <td> Tam- </td> <td> 23 </td> <td> 15 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 24 </td> <td> 6 </td> <td> 0.28 (0.11 – 0.74) </td> <td> 0.0089 </td> </tr> <tr> <td> <i> SULT1A11/1 </i> and/or <i> CYP2D64 </i> <sup> § </sup> </td> <td> Tam- </td> <td> 45 </td> <td> 27 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 43 </td> <td> 15 </td> <td> 0.38 (0.19– 0.74) </td> <td> 0.0041 </td> </tr> <tr> <td> <i> SULT1A12 </i> and <i> CYP2D61/*1 </i> <sup> § </sup> </td> <td> Tam- </td> <td> 33 </td> <td> 18 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 33 </td> <td> 15 </td> <td> 1.22 (0.61– 2.40) </td> <td> 0.57 </td> </tr> </tbody> </table> </body> </html>
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Characteristic </b> </td> <td colspan="5"> <b> Figure at age 10 years </b> </td> </tr> <tr> <td> </td> <td> <b> 1 </b> </td> <td> <b> 2 </b> </td> <td> <b> 3 </b> </td> <td> <b> 4 </b> </td> <td> <b> ≥ 5 </b> </td> </tr> </thead> <tbody> <tr> <td> Number participants (%) </td> <td> 20,554 (18.8) </td> <td> 33,512 (30.7) </td> <td> 24,666 (22.6) </td> <td> 17,274 (15.8) </td> <td> 13,261 (12.1) </td> </tr> <tr> <td colspan="6"> Mean </td> </tr> <tr> <td> Age (years) </td> <td> 34.6 </td> <td> 34.0 </td> <td> 34.1 </td> <td> 34.3 </td> <td> 34.7 </td> </tr> <tr> <td> Total caloric intake in high school (kilocalories) <sup> a </sup> </td> <td> 2737 </td> <td> 2746 </td> <td> 2745 </td> <td> 2746 </td> <td> 2781 </td> </tr> <tr> <td> Animal fat intake in high school (% energy) <sup> a </sup> </td> <td> 26.0 </td> <td> 25.7 </td> <td> 25.8 </td> <td> 25.9 </td> <td> 26.2 </td> </tr> <tr> <td> Vegetable fat intake in high school (% energy) <sup> a </sup> </td> <td> 14.4 </td> <td> 14.7 </td> <td> 14.8 </td> <td> 15.0 </td> <td> 15.0 </td> </tr> <tr> <td> Age at menarche (years) </td> <td> 12.8 </td> <td> 12.6 </td> <td> 12.3 </td> <td> 12.1 </td> <td> 12.0 </td> </tr> <tr> <td> Height (inches) </td> <td> 64.9 </td> <td> 64.9 </td> <td> 64.8 </td> <td> 64.8 </td> <td> 65.0 </td> </tr> <tr> <td> BMI at age 18 years (kg/m <sup> 2 </sup> ) </td> <td> 19.3 </td> <td> 20.2 </td> <td> 21.5 </td> <td> 22.9 </td> <td> 24.3 </td> </tr> <tr> <td> Current BMI (kg/m <sup> 2 </sup> ) </td> <td> 22.0 </td> <td> 22.7 </td> <td> 24.4 </td> <td> 26.1 </td> <td> 27.1 </td> </tr> <tr> <td> Age at first birth (years) <sup> b </sup> </td> <td> 25.4 </td> <td> 25.5 </td> <td> 25.6 </td> <td> 25.6 </td> <td> 25.4 </td> </tr> <tr> <td> Parity <sup> b </sup> </td> <td> 2.1 </td> <td> 2.1 </td> <td> 2.1 </td> <td> 2.1 </td> <td> 2.0 </td> </tr> <tr> <td colspan="6"> Percentage </td> </tr> <tr> <td> Birthweight ≥ 8.5 lb </td> <td> 8.3 </td> <td> 9.4 </td> <td> 11.7 </td> <td> 12.9 </td> <td> 13.7 </td> </tr> <tr> <td> ≥ 3 years from menarche until regular menstrual cycles </td> <td> 19.5 </td> <td> 18.5 </td> <td> 17.7 </td> <td> 17.9 </td> <td> 19.6 </td> </tr> <tr> <td> Irregular menstrual cycles/no periods ages 18–22 years </td> <td> 9.7 </td> <td> 9.0 </td> <td> 8.8 </td> <td> 10.2 </td> <td> 11.2 </td> </tr> <tr> <td> Menstrual cycle length ≥ 40 days ages 18–22 years </td> <td> 7.1 </td> <td> 7.1 </td> <td> 7.3 </td> <td> 8.2 </td> <td> 8.6 </td> </tr> <tr> <td> Strenuous activity 10–12 months/year in high school </td> <td> 28.7 </td> <td> 28.0 </td> <td> 26.2 </td> <td> 21.4 </td> <td> 17.6 </td> </tr> <tr> <td> BMI at age 18 years ≥ 25 kg/m <sup> 2 </sup> </td> <td> 1.8 </td> <td> 3.1 </td> <td> 8.9 </td> <td> 19.5 </td> <td> 32.2 </td> </tr> <tr> <td> Current BMI ≥ 30 kg/m <sup> 2 </sup> </td> <td> 3.0 </td> <td> 4.9 </td> <td> 11.2 </td> <td> 20.2 </td> <td> 24.6 </td> </tr> <tr> <td> Nulliparous </td> <td> 29.6 </td> <td> 29.2 </td> <td> 29.3 </td> <td> 31.3 </td> <td> 35.0 </td> </tr> <tr> <td> Current oral contraceptive user </td> <td> 13.8 </td> <td> 14.0 </td> <td> 12.6 </td> <td> 12.7 </td> <td> 11.6 </td> </tr> <tr> <td> Current smoker </td> <td> 13.1 </td> <td> 11.5 </td> <td> 12.3 </td> <td> 14.2 </td> <td> 18.6 </td> </tr> <tr> <td> Alcohol consumption ≥ 10 g/day </td> <td> 9.7 </td> <td> 9.0 </td> <td> 9.1 </td> <td> 9.1 </td> <td> 9.9 </td> </tr> <tr> <td> First-degree family history of breast cancer </td> <td> 5.9 </td> <td> 6.0 </td> <td> 5.7 </td> <td> 5.9 </td> <td> 6.3 </td> </tr> <tr> <td> History of benign breast disease </td> <td> 30.3 </td> <td> 28.1 </td> <td> 27.6 </td> <td> 27.5 </td> <td> 28.0 </td> </tr> </tbody> </table> </body> </html>
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1.5–2 </b> </td> <td> <b> 2.5–3 </b> </td> <td> <b> 3.5–4.5 </b> </td> <td> <b> ≥ 5 </b> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Multivariate RR (95% CI) <sup> a </sup> </td> <td> 1.00 </td> <td> 0.93 (0.79–1.08) </td> <td> 0.90 (0.76–1.06) </td> <td> 0.81 (0.68–0.96) </td> <td> 0.48 (0.35–0.65) </td> <td> <0.0001 </td> </tr> <tr> <td colspan="7"> Multivariate RR + later BMI <sup> b </sup> </td> </tr> <tr> <td> BMI at age 18 years </td> <td> 1.00 </td> <td> 0.95 (0.81–1.11) </td> <td> 0.95 (0.80–1.12) </td> <td> 0.87 (0.72–1.05) </td> <td> 0.53 (0.38–0.73) </td> <td> 0.004 </td> </tr> <tr> <td> Current BMI </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.92 (0.78–1.08) </td> <td> 0.84 (0.70–1.01) </td> <td> 0.51 (0.37–0.69) </td> <td> 0.0003 </td> </tr> <tr> <td> Cumulatively averaged BMI </td> <td> 1.00 </td> <td> 0.94 (0.81–1.10) </td> <td> 0.93 (0.79–1.10) </td> <td> 0.86 (0.72–1.03) </td> <td> 0.52 (0.38–0.71) </td> <td> 0.001 </td> </tr> <tr> <td colspan="7"> Multivariate RR + age at menarche and menstrual cycle characteristics <sup> c </sup> </td> </tr> <tr> <td> Age at menarche </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.80 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> <tr> <td> Age at menarche, time until regular cycles </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.80 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> <tr> <td> Age at menarche, regularity/length of cycles, ages 18–22 years </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.79 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> </tbody> </table> </body> </html>
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<b> ET ( <i> n </i> = 34) </b> </td> <td> <b> EPT ( <i> n </i> = 34) </b> </td> <td> <b> <i> P </i> * </b> </td> <td> <b> <i> P </i> <sup> † </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> Age at baseline mammogram, years (mean ± SEM) </td> <td> 62.3 ± 1.0 </td> <td> 60.2 ± 0.8 </td> <td> 0.10 </td> <td> 64.7 ± 1.0 </td> <td> 61.8 ± 1.2 </td> <td> 64.1 ± 1.1 </td> <td> 0.15 </td> <td> 0.005 </td> </tr> <tr> <td> Years since menopause at baseline (mean ± SEM) </td> <td> 15.1 ± 1.4 </td> <td> 12.5 ± 1.0 </td> <td> 0.12 </td> <td> 18.6 ± 1.6 </td> <td> 15.9 ± 1.4 </td> <td> 19.5 ± 1.9 </td> <td> 0.28 </td> <td> 0.001 </td> </tr> <tr> <td> Number of deliveries (live and stillbirths) (mean ± SEM) </td> <td> 2.4 ± 0.2 </td> <td> 2.3 ± 0.2 </td> <td> 0.75 </td> <td> 4.5 ± 0.6 </td> <td> 3.6 ± 0.4 </td> <td> 4.1 ± 0.5 </td> <td> 0.47 </td> <td> 0.0001 </td> </tr> <tr> <td> Race, <i> n </i> (%) </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> White, non-latina </td> <td> 34 (59.7) </td> <td> 40 (57.1) </td> <td> </td> <td> 12 (32.4) </td> <td> 7 (20.6) </td> <td> 14 (41.2) </td> <td> </td> <td> </td> </tr> <tr> <td> Black, non-latina </td> <td> 6 (10.5) </td> <td> 10 (14.3) </td> <td> </td> <td> 4 (10.8) </td> <td> 10 (29.4) </td> <td> 5 (14.7) </td> <td> </td> <td> </td> </tr> <tr> <td> Latina </td> <td> 10 (17.5) </td> <td> 13 (18.6) </td> <td> </td> <td> 20 (54.1) </td> <td> 9 (26.5) </td> <td> 11 (32.4) </td> <td> </td> <td> </td> </tr> <tr> <td> Asian or Pacific Islander </td> <td> 7 (12.3) </td> <td> 7 (10.0) </td> <td> 0.91 </td> <td> 1 (2.7) </td> <td> 8 (23.5) </td> <td> 4 (11.8) </td> <td> 0.01 <sup> ‡ </sup> </td> <td> 0.0005 </td> </tr> <tr> <td> Education, <i> n </i> (%) </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> High school graduate or less </td> <td> 8 (14.0) </td> <td> 9 (12.9) </td> <td> </td> <td> 20 (54.1) </td> <td> 15 (44.1) </td> <td> 15 (44.1) </td> <td> </td> <td> </td> </tr> <tr> <td> Trade or business school/some college </td> <td> 29 (50.9) </td> <td> 33 (48.6) </td> <td> </td> <td> 11 (29.7) </td> <td> 12 (35.3) </td> <td> 13 (38.2) </td> <td> </td> <td> </td> </tr> <tr> <td> Bachelor's degree or more </td> <td> 20 (35.1) </td> <td> 27 (38.6) </td> <td> 0.92 </td> <td> 6 (16.2) </td> <td> 7 (20.6) </td> <td> 6 (17.7) </td> <td> 0.90 </td> <td> 0.0001 </td> </tr> <tr> <td> Family history of breast cancer (first-degree relative), <i> n </i> (%) </td> <td> 9 (15.8) </td> <td> 6 (8.6) </td> <td> 0.21 </td> <td> 2 (5.4) </td> <td> 7 (20.6) </td> <td> 3 (8.8) </td> <td> 0.14 <sup> ‡ </sup> </td> <td> 0.91 </td> </tr> <tr> <td> Age at menarche, years (mean ± SEM) </td> <td> 12.7 ± 0.2 </td> <td> 12.6 ± 0.2 </td> <td> 0.86 </td> <td> 12.7 ± 0.3 </td> <td> 12.8 ± 0.3 </td> <td> 13.3 ± 0.3 </td> <td> 0.32 </td> <td> 0.21 </td> </tr> <tr> <td> Ever used postmenopausal hormones, <i> n </i> (%) </td> <td> 36 (63.2) </td> <td> 42 (60.0) </td> <td> 0.72 </td> <td> 13 (35.1) </td> <td> 15 (44.1) </td> <td> 21 (61.8) </td> <td> 0.08 </td> <td> 0.02 </td> </tr> <tr> <td> BMI, kg/m <sup> 2 </sup> (mean ± SEM) </td> <td> 28.7 ± 0.7 </td> <td> 28.7 ± 0.7 </td> <td> 0.96 </td> <td> 30.8 ± 1.0 </td> <td> 31.4 ± 1.0 </td> <td> 30.2 ± 1.1 </td> <td> 0.73 </td> <td> 0.007 </td> </tr> <tr> <td> Mammographic density at baseline, % (mean ± SEM) </td> <td> 17.8 ± 2.3 </td> <td> 22.3 ± 1.9 </td> <td> 0.13 </td> <td> 7.9 ± 1.8 </td> <td> 10.8 ± 2.1 </td> <td> 13.3 ± 2.3 </td> <td> 0.19 </td> <td> 0.0001 </td> </tr> </tbody> </table> </body> </html>
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Unadjusted mean ± SEM </b> </td> <td> <b> <i> P </i> </b> </td> <td> <b> Adjusted mean ± SEM* </b> </td> <td> <b> <i> P </i> </b> </td> </tr> </thead> <tbody> <tr> <td> EPAT </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 57) </td> <td> - 0.7 ± 0.8 </td> <td> Ref. </td> <td> - 0.9 ± 0.9 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 70) </td> <td> 3.4 ± 0.7 </td> <td> 0.003 </td> <td> 4.0 ± 0.8 </td> <td> 0.0001 </td> </tr> <tr> <td> WELL-HART </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 37) </td> <td> 0.8 ± 1.4 </td> <td> Ref. </td> <td> 0.06 ± 1.7 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 34) </td> <td> 4.8 ± 1.5 </td> <td> 0.06 </td> <td> 5.6 ± 1.5 </td> <td> 0.02 </td> </tr> <tr> <td> EPT ( <i> n </i> = 34) </td> <td> 7.8 ± 1.5 </td> <td> 0.001 </td> <td> 7.8 ± 1.6 </td> <td> 0.0005 </td> </tr> <tr> <td> <i> P </i> homogeneity of treatment effect between trials </td> <td> </td> <td> </td> <td> </td> <td> 0.76 </td> </tr> <tr> <td> All women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 95) </td> <td> - 0.02 ± 0.8 </td> <td> Ref. </td> <td> 0.02 ± 0.8 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 104) </td> <td> 3.9 ± 0.7 </td> <td> 0.0003 </td> <td> 4.6 ± 0.8 </td> <td> 0.0001 </td> </tr> <tr> <td> EPT ( <i> n </i> = 34) </td> <td> 7.8 ± 1.3 </td> <td> 0.0001 </td> <td> 7.2 ± 1.5 </td> <td> 0.0001 </td> </tr> </tbody> </table> </body> </html>
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<td> </td> </tr> <tr> <td> -51, -36, 24 </td> <td> STG/SMG </td> <td> 3.84 </td> <td> 122 </td> </tr> <tr> <td> -40, -34, 22 </td> <td> border </td> <td> 3.41 </td> <td> </td> </tr> <tr> <td> -42, -33, 29 </td> <td> </td> <td> 3.31 </td> <td> </td> </tr> <tr> <td> -20, 57, 21 </td> <td> MFG, BA10 </td> <td> 4.49 </td> <td> 57 </td> </tr> <tr> <td> -20, 52, 27 </td> <td> </td> <td> 2.71 </td> <td> </td> </tr> <tr> <td> -28, 27, 45 </td> <td> MFG </td> <td> 3.75 </td> <td> 45 </td> </tr> <tr> <td> -30, 18, 47 </td> <td> </td> <td> 2.91 </td> <td> </td> </tr> <tr> <td> -20, 18, 49 </td> <td> </td> <td> 3.36 </td> <td> </td> </tr> <tr> <td> -24, -41, 43 </td> <td> Parietal </td> <td> 4.13 </td> <td> 30 </td> </tr> <tr> <td> -24, -38, 50 </td> <td> </td> <td> 2.95 </td> <td> </td> </tr> <tr> <td> -40, -72, 42 </td> <td> Precuneus (BA19) </td> <td> 3.44 </td> <td> 36 </td> </tr> <tr> <td> -40, -64, 36 </td> <td> </td> <td> 2.89 </td> <td> </td> </tr> <tr> <td> -40, -74, 33 </td> <td> </td> <td> 2.78 </td> <td> </td> </tr> <tr> <td> Right </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 32, -9, -15 </td> <td> Hippocampus </td> <td> 4.65 </td> <td> 40 </td> </tr> <tr> <td> 4, -23, 14 </td> <td> Thalamus </td> <td> 3.40 </td> <td> 64 </td> </tr> <tr> <td> 4, -13, 10 </td> <td> (medial dorsal) </td> <td> 2.73 </td> <td> </td> </tr> <tr> <td> 53, -17, 14 </td> <td> Postcentral (BA3) </td> <td> 3.95 </td> <td> 52 </td> </tr> <tr> <td> 46, -11, 17 </td> <td> </td> <td> 3.50 </td> <td> </td> </tr> <tr> <td> 55, -2, 6 </td> <td> R Precentral, BA6 </td> <td> 4.52 </td> <td> 35 </td> </tr> <tr> <td> 28, -7, 17 </td> <td> Putamen </td> <td> 3.12 </td> <td> 27 </td> </tr> <tr> <td> 36, 0, 42 </td> <td> MFG (BA6) </td> <td> 3.43 </td> <td> 27 </td> </tr> <tr> <td> 44, 0, 44 </td> <td> </td> <td> 2.80 </td> <td> </td> </tr> </tbody> </table> </body> </html>
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<td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 753.9 ± 0.4 </td> <td> 35.0 ± 0.05 </td> <td> 15.2 ± 0.6 </td> <td> 24.6 ± 0.1 </td> <td> 8.1 ± 0.4 </td> <td> 8.3 ± 0.9 </td> <td> 8.7 ± 0.1 </td> </tr> <tr> <td> Pair-fed </td> <td> 775.4 ± 24.3 </td> <td> 33.6 ± 0.8 </td> <td> 14.7 ± 0.4 </td> <td> 26.1 ± 0.4 </td> <td> 7.9 ± 0.2 </td> <td> 9.4 ± 0.2 </td> <td> 8.5 ± 0.2 </td> </tr> <tr> <td> Control </td> <td> 747.8 ± 30.6 </td> <td> 33.6 ± 0.5 </td> <td> 14.8 ± 0.2 </td> <td> 25.6 ± 0.6 </td> <td> 8.3 ± 0.4 </td> <td> 9.7 ± 0.3 </td> <td> 8.3 ± 0.2 </td> </tr> <tr> <td> <b> BALB/cJ </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 726.9 ± 18.5 </td> <td> 34.5 ± 0.6 </td> <td> 14.7 ± 0.2 </td> <td> 26.6 ± 0.2 </td> <td> 6.5 ± 0.2 </td> <td> 8.4 v 0.3 </td> <td> 9.3 ± 0.4 </td> </tr> <tr> <td> Pair-fed </td> <td> 742.9 ± 27.7 </td> <td> 33.6 ± 0.9 </td> <td> 15.2 ± 0.3 </td> <td> 26.1 ± 0.5 </td> <td> 7.2 ± 0.3 </td> <td> 7.9 ± 0.3 </td> <td> 9.6 ± 0.4 </td> </tr> <tr> <td> Control </td> <td> 690.3 ± 23.9 </td> <td> 34.3 ± 0.9 </td> <td> 14.3 v 0.3 </td> <td> 26.6 ± 0.2 </td> <td> 6.8 ± 0.2 </td> <td> 8.8 ± 0.3 </td> <td> 9.3 v 0.3 </td> </tr> <tr> <td> <b> DBA/2J </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 638.0 ± 25.7 </td> <td> 34.1 ± 0.5 </td> <td> 15.0 ± 0.3 </td> <td> 26.3 ± 0.3 </td> <td> 6.6 ± 0.3 </td> <td> 8.2 ± 0.3 </td> <td> 9.7 ± 0.3 </td> </tr> <tr> <td> Pair-fed </td> <td> 649.9 ± 21.1 </td> <td> 32.7 ± 0.6 </td> <td> 15.3 ± 0.5 </td> <td> 27.0 ± 0.3 </td> <td> 6.0 ± 0.2 </td> <td> 8.9 ± 0.4 </td> <td> 10.0 ± 0.4 </td> </tr> <tr> <td> Control </td> <td> 699.6 ± 26.0 </td> <td> 33.5 ± 0.5 </td> <td> 15.2 ± 0.3 </td> <td> 27.1 ± 0.5 </td> <td> 6.4 ± 0.3 </td> <td> 8.5 ± 0.2 </td> <td> 9.4 ± 0.3 </td> </tr> </tbody> </table> </body> </html>
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</style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Pathogen </b> </td> <td> <b> Origin </b> </td> <td> <b> Trade-related interaction </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Salmonella </i> </td> <td> Described in the late 1880s in swine. Subsequently recognized in humans, poultry, cattle, rodents and exotic pets. </td> <td> Use of antimicrobials in livestock in response to heightened global competition has contributed to emergence of antimicrobial-resistant strains such as <i> S. typhimurium </i> DT104 and <i> S. </i> Newport-MDRAmpC. </td> </tr> <tr> <td> <i> Escherichia coli </i> O157:H7 </td> <td> Identified as a pathogenic agent in humans in 1982. Hosts include cows, deer, sheep, horses, pigs and dogs. </td> <td> Intensified production and far-reaching distribution channels in the meat industry enable widespread dissemination in vehicles such as ground beef. </td> </tr> <tr> <td> <i> Cyclospora cayetanensis </i> </td> <td> First documented cases observed in humans 1977. Only known host is humans. </td> <td> Hardy oocysts are transported on produce exported to geographic regions where the parasite previously had been largely unknown. </td> </tr> <tr> <td> <i> Listeria monocytogenes </i> </td> <td> Detected in 1926 in rabbits and guinea pigs, identified as a source of human infection in 1929 and perinatal contamination in 1936. </td> <td> Increased popularity on the global market of raw milk cheeses and ready-to-eat products contributed to surge in listeriosis. </td> </tr> </tbody> </table> </body> </html>
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Disease/injury </b> </td> <td> <b> YLDs (000s) </b> </td> <td> <b> Cumulative% </b> </td> <td> <b> Disease/injury </b> </td> <td> <b> DALYs (000s) </b> </td> <td> <b> % of Total </b> </td> </tr> <tr> <td> 1 </td> <td> Lower res. inf. </td> <td> 108601 </td> <td> 12.0 </td> <td> Depression </td> <td> 50810 </td> <td> 10.7 </td> <td> Lower res. inf. </td> <td> 112898 </td> <td> 8.2 </td> </tr> <tr> <td> 2 </td> <td> Diarrhoeal dis. </td> <td> 94434 </td> <td> 22.4 </td> <td> Iron def. anaem. </td> <td> 21987 </td> <td> 15.4 </td> <td> Diarrhoeal dis. </td> <td> 99633 </td> <td> 7.2 </td> </tr> <tr> <td> 3 </td> <td> Perinatal cond. </td> <td> 82681 </td> <td> 31.5 </td> <td> Falls </td> <td> 21949 </td> <td> 20.0 </td> <td> Perinatal cond. </td> <td> 92313 </td> <td> 6.7 </td> </tr> <tr> <td> 4 </td> <td> Isch. heart dis. </td> <td> 41595 </td> <td> 36.1 </td> <td> Alcohol use </td> <td> 15770 </td> <td> 23.4 </td> <td> Depression </td> <td> 50810 </td> <td> 3.7 </td> </tr> <tr> <td> 5 </td> <td> Measles </td> <td> 36450 </td> <td> 40.1 </td> <td> COPD <sup> 1 </sup> </td> <td> 14692 </td> <td> 26.5 </td> <td> Isch. heart dis. </td> <td> 46699 </td> <td> 3.4 </td> </tr> <tr> <td> 6 </td> <td> Tuberculosis </td> <td> 34304 </td> <td> 43.9 </td> <td> Bipolar dis. </td> <td> 14141 </td> <td> 29.5 </td> <td> Cerebrovas. dis. </td> <td> 38523 </td> <td> 2.8 </td> </tr> <tr> <td> 7 </td> <td> Cerebrovas. Dis. </td> <td> 32115 </td> <td> 47.5 </td> <td> Congenital anom </td> <td> 13507 </td> <td> 32.3 </td> <td> Tuberculosis </td> <td> 38426 </td> <td> 2.8 </td> </tr> <tr> <td> 8 </td> <td> Malaria </td> <td> 28038 </td> <td> 50.5 </td> <td> Osteoarthritis </td> <td> 13275 </td> <td> 35.1 </td> <td> Measles </td> <td> 36520 </td> <td> 2.7 </td> </tr> <tr> <td> 9 </td> <td> Road traffic acc. </td> <td> 26162 </td> <td> 53.4 </td> <td> Schizophrenia </td> <td> 12183 </td> <td> 37.7 </td> <td> Road traffic acc. </td> <td> 34317 </td> <td> 2.5 </td> </tr> <tr> <td> 10 </td> <td> Congenital anom. </td> <td> 19414 </td> <td> 55.6 </td> <td> Obs.-comp dis <sup> 2 </sup> </td> <td> 10213 </td> <td> 39.9 </td> <td> Congenital anom. </td> <td> 32921 </td> <td> 2.4 </td> </tr> </tbody> </table> </body> </html>
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<b> As % of total YLLs </b> </td> <td> <b> YLDs (thousands) </b> </td> <td> <b> As % of total YLDs </b> </td> <td> <b> DALYs (thousands) </b> </td> <td> <b> As % of total DALYs </b> </td> </tr> </thead> <tbody> <tr> <td> Malnutrition </td> <td> 5 881 </td> <td> 11.7 </td> <td> 199 486 </td> <td> 22.0 </td> <td> 20 089 </td> <td> 4.2 </td> <td> 219 575 </td> <td> 15.9 </td> </tr> <tr> <td> Poor water supply sanitation and personal and domestic hygiene </td> <td> 2 668 </td> <td> 5.3 </td> <td> 85 520 </td> <td> 9.4 </td> <td> 7 872 </td> <td> 1.7 </td> <td> 93 392 </td> <td> 6.8 </td> </tr> <tr> <td> Unsafe sex </td> <td> 1 095 </td> <td> 2.2 </td> <td> 27 602 </td> <td> 3.0 </td> <td> 21 100 </td> <td> 4.5 </td> <td> 48 702 </td> <td> 3.5 </td> </tr> <tr> <td> Tobacco </td> <td> 3 038 </td> <td> 6.0 </td> <td> 26 217 </td> <td> 2.9 </td> <td> 9 965 </td> <td> 2.1 </td> <td> 36 182 </td> <td> 2.6 </td> </tr> <tr> <td> Alcohol </td> <td> 774 </td> <td> 1.5 </td> <td> 19 287 </td> <td> 2.1 </td> <td> 28 400 </td> <td> 6.0 </td> <td> 47 687 </td> <td> 3.5 </td> </tr> <tr> <td> Occupation </td> <td> 1 129 </td> <td> 2.2 </td> <td> 22 493 </td> <td> 2.5 </td> <td> 15 394 </td> <td> 3.3 </td> <td> 37 887 </td> <td> 2.7 </td> </tr> <tr> <td> Hypertension </td> <td> 2 918 </td> <td> 5.8 </td> <td> 18 665 </td> <td> 1.9 </td> <td> 1 411 </td> <td> 0.3 </td> <td> 19 076 </td> <td> 1.4 </td> </tr> <tr> <td> Physical inactivity </td> <td> 1 991 </td> <td> 3.9 </td> <td> 11 353 </td> <td> 1.3 </td> <td> 2 300 </td> <td> 0.5 </td> <td> 13 653 </td> <td> 1.0 </td> </tr> <tr> <td> Illicit drugs </td> <td> 100 </td> <td> 0.2 </td> <td> 2 634 </td> <td> 0.3 </td> <td> 5 834 </td> <td> 1.2 </td> <td> 8 467 </td> <td> 0.6 </td> </tr> <tr> <td> Air pollution </td> <td> 568 </td> <td> 1.1 </td> <td> 5 625 </td> <td> 0.6 </td> <td> 1 630 </td> <td> 0.3 </td> <td> 7 254 </td> <td> 0.5 </td> </tr> </tbody> </table> </body> </html>
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<td> </td> <td colspan="2"> <b> NHS Staffing </b> </td> <td colspan="2"> <b> NMC Register </b> </td> <td colspan="2"> <b> Vacancy </b> </td> </tr> <tr> <td> <b> SHA name </b> </td> <td> <b> wte </b> </td> <td> <b> headcount </b> </td> <td> <b> register </b> </td> <td> <b> %NHS <sup> <i> b </i> </sup> </b> </td> <td> <b> %vac </b> </td> <td> <b> #vac </b> </td> </tr> </thead> <tbody> <tr> <td> Norfolk, Suffolk & ambridgeshire </td> <td> 12312 </td> <td> 15936 </td> <td> 21775 </td> <td> 73 </td> <td> 2.3 </td> <td> 296 </td> </tr> <tr> <td> Bedfordshire & Hertfordshire </td> <td> 6818 </td> <td> 8684 </td> <td> 15416 </td> <td> 56 </td> <td> 6.4 </td> <td> 441 </td> </tr> <tr> <td> Essex </td> <td> 6858 </td> <td> 8637 </td> <td> 13976 </td> <td> 62 </td> <td> 3.3 </td> <td> 230 </td> </tr> <tr> <td> <b> London </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> North West London </td> <td> 12627 </td> <td> 15556 </td> <td> 16785 </td> <td> 93 </td> <td> 6.6 </td> <td> 815 </td> </tr> <tr> <td> North Central London </td> <td> 10501 </td> <td> 12553 </td> <td> 11379 </td> <td> 110 <sup> <i> c </i> </sup> </td> <td> 5.7 </td> <td> 592 </td> </tr> <tr> <td> North East London </td> <td> 9416 </td> <td> 11646 </td> <td> 13632 </td> <td> 85 </td> <td> 3.8 </td> <td> 332 </td> </tr> <tr> <td> South East London </td> <td> 11024 </td> <td> 13930 </td> <td> 16384 </td> <td> 85 </td> <td> 7.3 </td> <td> 811 </td> </tr> <tr> <td> South West London </td> <td> 7503 </td> <td> 9679 </td> <td> 14437 </td> <td> 67 </td> <td> 2.3 </td> <td> 170 </td> </tr> <tr> <td> Northumberland, Tyne & Wear </td> <td> 10365 </td> <td> 12455 </td> <td> 14588 </td> <td> 85 </td> <td> 1.1 </td> <td> 113 </td> </tr> <tr> <td> County Durham & Tees Valley </td> <td> 7275 </td> <td> 8536 </td> <td> 12147 </td> <td> 70 </td> <td> 1.4 </td> <td> 103 </td> </tr> <tr> <td> NE Yorkshire & N Lincolnshire </td> <td> 7951 </td> <td> 9845 </td> <td> 17842 </td> <td> 55 </td> <td> 2.1 </td> <td> 174 </td> </tr> <tr> <td> West Yorkshire </td> <td> 14233 </td> <td> 17926 </td> <td> 20594 </td> <td> 87 </td> <td> 1.6 </td> <td> 221 </td> </tr> <tr> <td> Cumbria & ancashire </td> <td> 11490 </td> <td> 14226 </td> <td> 21246 </td> <td> 67 </td> <td> 1.3 </td> <td> 155 </td> </tr> <tr> <td> Greater Manchester </td> <td> 17422 </td> <td> 20674 </td> <td> 25279 </td> <td> 82 </td> <td> 1.6 </td> <td> 289 </td> </tr> <tr> <td> Cheshire & Merseyside </td> <td> 16276 </td> <td> 19730 </td> <td> 26948 </td> <td> 73 </td> <td> 1.4 </td> <td> 225 </td> </tr> <tr> <td> <b> The Southeast </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Thames Valley </td> <td> 10621 </td> <td> 13975 </td> <td> 20044 </td> <td> 70 </td> <td> 2.9 </td> <td> 295 </td> </tr> <tr> <td> Hampshire & Isle of Wight </td> <td> 9424 </td> <td> 12564 </td> <td> 18370 </td> <td> 68 </td> <td> 3.6 </td> <td> 331 </td> </tr> <tr> <td> Kent & Medway </td> <td> 7261 </td> <td> 9303 </td> <td> 14562 </td> <td> 64 </td> <td> 2.7 </td> <td> 195 </td> </tr> <tr> <td> Surrey & Sussex </td> <td> 12977 </td> <td> 17258 </td> <td> 28048 </td> <td> 62 </td> <td> 4.3 </td> <td> 547 </td> </tr> <tr> <td> Avon, Gloucestershire & Wiltshire </td> <td> 12699 </td> <td> 16836 </td> <td> 23765 </td> <td> 71 </td> <td> 1.8 </td> <td> 220 </td> </tr> <tr> <td> South West Peninsula </td> <td> 8888 </td> <td> 10958 </td> <td> 16902 </td> <td> 65 </td> <td> 0.9 </td> <td> 77 </td> </tr> <tr> <td> Dorset & Somerset </td> <td> 6202 </td> <td> 7945 </td> <td> 12662 </td> <td> 63 </td> <td> 0.4 </td> <td> 23 </td> </tr> <tr> <td> South Yorkshire </td> <td> 9138 </td> <td> 10783 </td> <td> 13355 </td> <td> 81 </td> <td> 0.9 </td> <td> 85 </td> </tr> <tr> <td> Trent </td> <td> 14050 </td> <td> 17333 </td> <td> 26817 </td> <td> 65 </td> <td> 0.8 </td> <td> 120 </td> </tr> <tr> <td> Leics, Northamptonshire & Rutland </td> <td> 7272 </td> <td> 9041 </td> <td> 15028 </td> <td> 60 </td> <td> 2.1 </td> <td> 167 </td> </tr> <tr> <td> Shropshire & Staffordshire </td> <td> 7985 </td> <td> 9862 </td> <td> 16108 </td> <td> 61 </td> <td> 1.1 </td> <td> 89 </td> </tr> <tr> <td> Birmingham & the Black Country </td> <td> 15288 </td> <td> 18343 </td> <td> 19620 </td> <td> 94 </td> <td> 1.9 </td> <td> 296 </td> </tr> <tr> <td> West Midlands South <sup> <i> d </i> </sup> </td> <td> 7460 </td> <td> 9793 </td> <td> 15813 </td> <td> 62 </td> <td> 1.2 </td> <td> 86 </td> </tr> <tr> <td> All London SHAs </td> <td> 51071 </td> <td> 63364 </td> <td> 72617 </td> <td> 87 </td> <td> 5.1 </td> <td> 2719 </td> </tr> <tr> <td> Southeast Region <sup> <i> e </i> </sup> </td> <td> 40283 </td> <td> 53100 </td> <td> 81024 </td> <td> 66 </td> <td> 3.3 </td> <td> 1368 </td> </tr> <tr> <td> Rest of England </td> <td> 199982 </td> <td> 247543 </td> <td> 349881 </td> <td> 71 </td> <td> 1.7 </td> <td> 3421 </td> </tr> <tr> <td> <b> England TOTAL </b> </td> <td> 291336 </td> <td> 364007 </td> <td> 503522 </td> <td> 73 </td> <td> 2.6 </td> <td> 7508 </td> </tr> <tr> <td> Wales </td> <td> 26300 </td> <td> - </td> <td> 33281 </td> <td> - </td> <td> 2.1 </td> <td> 564 </td> </tr> <tr> <td> Scotland </td> <td> 39037 </td> <td> 41270 </td> <td> 66817 </td> <td> 6.2 </td> <td> 1.1 </td> <td> 486 </td> </tr> <tr> <td> Northern Ireland </td> <td> - </td> <td> - </td> <td> 21645 </td> <td> - </td> <td> - </td> <td> - </td> </tr> </tbody> </table> </body> </html>
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994 </td> <td> 1830 </td> </tr> <tr> <td> Australia </td> <td> 1335 </td> <td> 1209 </td> <td> 1046 </td> <td> 1342 </td> <td> 920 </td> </tr> <tr> <td> New Zealand </td> <td> 527 </td> <td> 461 </td> <td> 393 </td> <td> 443 </td> <td> 282 </td> </tr> <tr> <td> Canada </td> <td> 196 </td> <td> 130 </td> <td> 89 </td> <td> 79 </td> <td> 52 </td> </tr> <tr> <td> USA </td> <td> 139 </td> <td> 168 </td> <td> 147 </td> <td> 122 </td> <td> 88 </td> </tr> <tr> <td> West Indies </td> <td> 221 </td> <td> 425 </td> <td> 261 </td> <td> 248 </td> <td> 208 </td> </tr> <tr> <td> Pakistan </td> <td> 3 </td> <td> 13 </td> <td> 44 </td> <td> 207 </td> <td> 172 </td> </tr> <tr> <td> Malaysia </td> <td> 6 </td> <td> 52 </td> <td> 34 </td> <td> 33 </td> <td> 27 </td> </tr> <tr> <td> Singapore </td> <td> 13 </td> <td> 47 </td> <td> 48 </td> <td> 43 </td> <td> 25 </td> </tr> <tr> <td> Nigeria </td> <td> 179 </td> <td> 208 </td> <td> 347 </td> <td> 432 </td> <td> 509 </td> </tr> <tr> <td> Zimbabwe </td> <td> 52 </td> <td> 221 </td> <td> 382 </td> <td> 473 </td> <td> 485 </td> </tr> <tr> <td> Ghana </td> <td> 40 </td> <td> 74 </td> <td> 140 </td> <td> 195 </td> <td> 251 </td> </tr> <tr> <td> Kenya </td> <td> 19 </td> <td> 29 </td> <td> 50 </td> <td> 155 </td> <td> 152 </td> </tr> <tr> <td> Zambia </td> <td> 15 </td> <td> 40 </td> <td> 88 </td> <td> 183 </td> <td> 133 </td> </tr> <tr> <td> Mauritius </td> <td> 6 </td> <td> 15 </td> <td> 41 </td> <td> 62 </td> <td> 59 </td> </tr> <tr> <td> Malawi </td> <td> 1 </td> <td> 15 </td> <td> 45 </td> <td> 75 </td> <td> 57 </td> </tr> <tr> <td> Botswana </td> <td> 4 </td> <td> 0 </td> <td> 87 </td> <td> 100 </td> <td> 39 </td> </tr> <tr> <td> Other <sup> <i> b </i> </sup> </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 131 </td> </tr> <tr> <td> Top25 Total </td> <td> 3437 </td> <td> 5715 </td> <td> 8013 </td> <td> 14535 </td> <td> 12381 </td> </tr> <tr> <td> Total foreign-trained </td> <td> 4891 </td> <td> 7383 </td> <td> 9709 </td> <td> 16155 </td> <td> 13629 </td> </tr> <tr> <td> Total UK-trained </td> <td> 12974 </td> <td> 14035 </td> <td> 15433 </td> <td> 14538 </td> <td> 18048 </td> </tr> <tr> <td> Total new registrants </td> <td> 17865 </td> <td> 21418 </td> <td> 25142 </td> <td> 30693 </td> <td> 31677 </td> </tr> <tr> <td> %Overseas from Philippines </td> <td> 1 </td> <td> 14 </td> <td> 35 </td> <td> 45 </td> <td> 41 </td> </tr> <tr> <td> %Overseas from Top25 </td> <td> 70 </td> <td> 77 </td> <td> 83 </td> <td> 90 </td> <td> 91 </td> </tr> <tr> <td> %New registrants from overseas </td> <td> 27 </td> <td> 34 </td> <td> 39 </td> <td> 53 </td> <td> 43 </td> </tr> </tbody> </table> </body> </html>
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<body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> </td> <td colspan="4"> <b> Training Source <sup> <i> b </i> </sup> </b> </td> <td> </td> </tr> <tr> <td> <b> SHA name </b> </td> <td> <b> Total </b> </td> <td> <b> UK </b> </td> <td> <b> Intl </b> </td> <td> <b> %UK </b> </td> <td> <b> %Intl </b> </td> <td> <b> %Intl in SHA <sup> <i> c </i> </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> Norfolk, Suffolk & ambridgeshire </td> <td> 21775 </td> <td> 20364 </td> <td> 1411 </td> <td> 93.5 </td> <td> 6.5 </td> <td> 4.6 </td> </tr> <tr> <td> Bedfordshire & Hertfordshire </td> <td> 15416 </td> <td> 14305 </td> <td> 1111 </td> <td> 92.8 </td> <td> 7.2 </td> <td> 3.6 </td> </tr> <tr> <td> Essex </td> <td> 13976 </td> <td> 13200 </td> <td> 776 </td> <td> 94.5 </td> <td> 5.6 </td> <td> 2.5 </td> </tr> <tr> <td> <b> London </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> North West London </td> <td> 16785 </td> <td> 14251 </td> <td> 2534 </td> <td> 84.9 </td> <td> 15.1 </td> <td> 8.2 </td> </tr> <tr> <td> North Central London </td> <td> 11379 </td> <td> 10215 </td> <td> 1164 </td> <td> 89.8 </td> <td> 10.2 </td> <td> 3.8 </td> </tr> <tr> <td> North East London </td> <td> 13632 </td> <td> 12330 </td> <td> 1302 </td> <td> 90.5 </td> <td> 9.6 </td> <td> 4.2 </td> </tr> <tr> <td> South East London </td> <td> 16384 </td> <td> 15093 </td> <td> 1291 </td> <td> 92.1 </td> <td> 7.9 </td> <td> 4.2 </td> </tr> <tr> <td> South West London </td> <td> 14437 </td> <td> 13260 </td> <td> 1177 </td> <td> 91.9 </td> <td> 8.2 </td> <td> 3.8 </td> </tr> <tr> <td> Northumberland, Tyne & Wear </td> <td> 14588 </td> <td> 14080 </td> <td> 508 </td> <td> 96.5 </td> <td> 3.5 </td> <td> 1.7 </td> </tr> <tr> <td> County Durham & Tees Valley </td> <td> 12147 </td> <td> 11867 </td> <td> 280 </td> <td> 97.7 </td> <td> 2.3 </td> <td> 0.9 </td> </tr> <tr> <td> NE Yorkshire & N Lincolnshire </td> <td> 17842 </td> <td> 17496 </td> <td> 346 </td> <td> 98.1 </td> <td> 1.9 </td> <td> 1.1 </td> </tr> <tr> <td> West Yorkshire </td> <td> 20594 </td> <td> 19569 </td> <td> 1025 </td> <td> 95.0 </td> <td> 5.0 </td> <td> 3.3 </td> </tr> <tr> <td> Cumbria & ancashire </td> <td> 21246 </td> <td> 20647 </td> <td> 599 </td> <td> 97.2 </td> <td> 2.8 </td> <td> 1.9 </td> </tr> <tr> <td> Greater Manchester </td> <td> 25279 </td> <td> 23882 </td> <td> 1397 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 4.5 </td> </tr> <tr> <td> Cheshire & Merseyside </td> <td> 26948 </td> <td> 25758 </td> <td> 1190 </td> <td> 95.6 </td> <td> 4.4 </td> <td> 3.9 </td> </tr> <tr> <td> <b> The Southeast </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Thames Valley </td> <td> 20044 </td> <td> 18461 </td> <td> 1583 </td> <td> 92.1 </td> <td> 7.9 </td> <td> 5.1 </td> </tr> <tr> <td> Hampshire & Isle of Wight </td> <td> 18370 </td> <td> 17355 </td> <td> 1015 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 3.3 </td> </tr> <tr> <td> Kent & Medway </td> <td> 14562 </td> <td> 13930 </td> <td> 632 </td> <td> 95.7 </td> <td> 4.3 </td> <td> 2.1 </td> </tr> <tr> <td> Surrey & Sussex </td> <td> 28048 </td> <td> 26274 </td> <td> 1774 </td> <td> 93.7 </td> <td> 6.3 </td> <td> 5.8 </td> </tr> <tr> <td> Avon, Gloucestershire & Wiltshire </td> <td> 23765 </td> <td> 22178 </td> <td> 1587 </td> <td> 93.3 </td> <td> 6.7 </td> <td> 5.2 </td> </tr> <tr> <td> South West Peninsula </td> <td> 16902 </td> <td> 16653 </td> <td> 249 </td> <td> 98.5 </td> <td> 1.5 </td> <td> 0.8 </td> </tr> <tr> <td> Dorset & Somerset </td> <td> 12662 </td> <td> 12206 </td> <td> 456 </td> <td> 96.4 </td> <td> 3.6 </td> <td> 1.5 </td> </tr> <tr> <td> South Yorkshire </td> <td> 13355 </td> <td> 12916 </td> <td> 439 </td> <td> 96.7 </td> <td> 3.3 </td> <td> 1.4 </td> </tr> <tr> <td> Trent </td> <td> 26817 </td> <td> 26049 </td> <td> 768 </td> <td> 97.1 </td> <td> 2.9 </td> <td> 2.5 </td> </tr> <tr> <td> Leics, Northamptonshire & Rutland </td> <td> 15028 </td> <td> 14546 </td> <td> 482 </td> <td> 96.8 </td> <td> 3.2 </td> <td> 1.6 </td> </tr> <tr> <td> Shropshire & Staffordshire </td> <td> 16108 </td> <td> 15536 </td> <td> 572 </td> <td> 96.5 </td> <td> 3.6 </td> <td> 1.9 </td> </tr> <tr> <td> Birmingham & the Black Country </td> <td> 19620 </td> <td> 18348 </td> <td> 1272 </td> <td> 93.5 </td> <td> 6.5 </td> <td> 4.1 </td> </tr> <tr> <td> West Midlands South </td> <td> 15813 </td> <td> 15275 </td> <td> 538 </td> <td> 96.6 </td> <td> 3.4 </td> <td> 1.8 </td> </tr> <tr> <td> All London SHAs </td> <td> 72617 </td> <td> 65149 </td> <td> 7468 </td> <td> 89.7 </td> <td> 10.3 </td> <td> 24.2 </td> </tr> <tr> <td> Southeast Region </td> <td> 81024 </td> <td> 76020 </td> <td> 5004 </td> <td> 93.8 </td> <td> 6.2 </td> <td> 16.2 </td> </tr> <tr> <td> Rest of England </td> <td> 349881 </td> <td> 334875 </td> <td> 15006 </td> <td> 95.7 </td> <td> 4.3 </td> <td> 48.7 </td> </tr> <tr> <td> <b> England TOTAL </b> </td> <td> 503522 </td> <td> 476044 </td> <td> 27478 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 89.2 </td> </tr> <tr> <td> Wales </td> <td> 33281 </td> <td> 32022 </td> <td> 1259 </td> <td> 96.2 </td> <td> 3.8 </td> <td> 4.1 </td> </tr> <tr> <td> Scotland </td> <td> 66817 </td> <td> 65935 </td> <td> 882 </td> <td> 98.7 </td> <td> 1.3 </td> <td> 2.9 </td> </tr> <tr> <td> Northern Ireland </td> <td> 21645 </td> <td> 20591 </td> <td> 1054 </td> <td> 95.1 </td> <td> 4.9 </td> <td> 3.4 </td> </tr> </tbody> </table> </body> </html>
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<thead> <tr> <td> <b> SHA name </b> </td> <td> <b> %vac <sup> <i> b </i> </sup> </b> </td> <td> <b> %vacancyUK <sup> <i> c </i> </sup> </b> </td> <td> <b> #vacancyUK <sup> <i> d </i> </sup> </b> </td> <td> <b> %vacUK_Filipino <sup> <i> e </i> </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> Norfolk, Suffolk & ambridgeshire </td> <td> 2.3 </td> <td> 13.3 </td> <td> 1707 </td> <td> 7.4 </td> </tr> <tr> <td> Bedfordshire & Hertfordshire </td> <td> 6.4 </td> <td> 22.5 </td> <td> 1552 </td> <td> 16.1 </td> </tr> <tr> <td> Essex </td> <td> 3.3 </td> <td> 14.3 </td> <td> 1006 </td> <td> 9.6 </td> </tr> <tr> <td> <b> London </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> North West London </td> <td> 6.6 </td> <td> 27.2 </td> <td> 3349 </td> <td> 20.0 </td> </tr> <tr> <td> North Central London </td> <td> 5.7 </td> <td> 17.0 </td> <td> 1756 </td> <td> 14.0 </td> </tr> <tr> <td> North East London </td> <td> 3.8 </td> <td> 18.7 </td> <td> 1634 </td> <td> 13.8 </td> </tr> <tr> <td> South East London </td> <td> 7.3 </td> <td> 19.0 </td> <td> 2102 </td> <td> 15.1 </td> </tr> <tr> <td> South West London </td> <td> 2.3 </td> <td> 18.6 </td> <td> 1347 </td> <td> 13.1 </td> </tr> <tr> <td> Northumberland, Tyne & Wear </td> <td> 1.1 </td> <td> 5.9 </td> <td> 621 </td> <td> 2.7 </td> </tr> <tr> <td> County Durham & Tees Valley </td> <td> 1.4 </td> <td> 5.2 </td> <td> 383 </td> <td> 2.9 </td> </tr> <tr> <td> NE Yorkshire & N Lincolnshire </td> <td> 2.1 </td> <td> 6.4 </td> <td> 520 </td> <td> 5.0 </td> </tr> <tr> <td> West Yorkshire </td> <td> 1.6 </td> <td> 9.2 </td> <td> 1246 </td> <td> 5.2 </td> </tr> <tr> <td> Cumbria & ancashire </td> <td> 1.3 </td> <td> 6.4 </td> <td> 754 </td> <td> 4.5 </td> </tr> <tr> <td> Greater Manchester </td> <td> 1.6 </td> <td> 9.5 </td> <td> 1686 </td> <td> 7.8 </td> </tr> <tr> <td> Cheshire & Merseyside </td> <td> 1.4 </td> <td> 8.7 </td> <td> 1415 </td> <td> 6.2 </td> </tr> <tr> <td> <b> The Southeast </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Thames Valley </td> <td> 2.9 </td> <td> 18.5 </td> <td> 1878 </td> <td> 11.8 </td> </tr> <tr> <td> Hampshire & Isle of Wight </td> <td> 3.6 </td> <td> 14.5 </td> <td> 1346 </td> <td> 7.6 </td> </tr> <tr> <td> Kent & Medway </td> <td> 2.7 </td> <td> 11.3 </td> <td> 827 </td> <td> 7.3 </td> </tr> <tr> <td> Surrey & Sussex </td> <td> 4.3 </td> <td> 18.3 </td> <td> 2321 </td> <td> 11.4 </td> </tr> <tr> <td> Avon, Gloucestershire & Wiltshire </td> <td> 1.8 </td> <td> 14.4 </td> <td> 1807 </td> <td> 9.9 </td> </tr> <tr> <td> South West Peninsula </td> <td> 0.9 </td> <td> 3.7 </td> <td> 326 </td> <td> 2.8 </td> </tr> <tr> <td> Dorset & Somerset </td> <td> 0.4 </td> <td> 8.0 </td> <td> 479 </td> <td> 4.8 </td> </tr> <tr> <td> South Yorkshire </td> <td> 0.9 </td> <td> 5.8 </td> <td> 524 </td> <td> 5.1 </td> </tr> <tr> <td> Trent </td> <td> 0.8 </td> <td> 6.2 </td> <td> 888 </td> <td> 3.8 </td> </tr> <tr> <td> Leics, Northamptonshire & Rutland </td> <td> 2.1 </td> <td> 8.2 </td> <td> 649 </td> <td> 6.2 </td> </tr> <tr> <td> Shropshire & Staffordshire </td> <td> 1.1 </td> <td> 8.3 </td> <td> 661 </td> <td> 3.9 </td> </tr> <tr> <td> Birmingham & the Black Country </td> <td> 1.9 </td> <td> 10.2 </td> <td> 1568 </td> <td> 5.9 </td> </tr> <tr> <td> West Midlands South </td> <td> 1.2 </td> <td> 8.3 </td> <td> 624 </td> <td> 5.6 </td> </tr> <tr> <td> All London SHAs </td> <td> 5.1 </td> <td> 18.9 </td> <td> 10187 </td> <td> 14.4 </td> </tr> <tr> <td> Southeast Region </td> <td> 3.3 </td> <td> 15.3 </td> <td> 6372 </td> <td> 9.3 </td> </tr> <tr> <td> Rest of England </td> <td> 1.7 </td> <td> 9.1 </td> <td> 18427 </td> <td> 6.0 </td> </tr> <tr> <td> <b> England TOTAL </b> </td> <td> 2.6 </td> <td> 12.1 </td> <td> 34986 </td> <td> 8.3 </td> </tr> <tr> <td> Wales </td> <td> 2.1 </td> <td> 6.8 </td> <td> 1823 </td> <td> 3.7 </td> </tr> <tr> <td> Scotland </td> <td> 1.1 </td> <td> 3.1 </td> <td> 1368 </td> <td> 2.5 </td> </tr> </tbody> </table> </body> </html>
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<td> H. sapiens </td> <td> Swiss-Prot </td> <td> P05107 </td> <td> Hs_b2 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P05106 </td> <td> Hs_b3 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P16144 </td> <td> Hs_b4 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P18084 </td> <td> Hs_b5 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P18564 </td> <td> Hs_b6 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P26010 </td> <td> Hs_b7 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P26012 </td> <td> Hs_b8 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100141446 </td> <td> Ci_b1 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100143908 </td> <td> Ci_b2 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> See Fig. S1 </td> <td> Ci_b3 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100131678 </td> <td> Ci_b4 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100143050 </td> <td> Ci_b5 </td> </tr> <tr> <td> Urochordate </td> <td> H. roretzi </td> <td> Genbank </td> <td> AB154831 </td> <td> Hr_b1 </td> </tr> <tr> <td> Urochordate </td> <td> H. roretzi </td> <td> Genbank </td> <td> AB154832 </td> <td> Hr_b2 </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> AF0559607 </td> <td> Sp_bC </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> NP_999732 </td> <td> Sp_bG </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> NP_999731 </td> <td> Sp_bL </td> </tr> <tr> <td> Arthropod </td> <td> D. melanogaster </td> <td> Swiss-Prot </td> <td> P11584 </td> <td> Dm_bPS </td> </tr> <tr> <td> Arthropod </td> <td> D. melanogaster </td> <td> Swiss-Prot </td> <td> L13305 </td> <td> Dm_bv </td> </tr> <tr> <td> Nematode </td> <td> C. elegans </td> <td> Swiss-Prot </td> <td> Q27874 </td> <td> Ce_b-pat3 </td> </tr> <tr> <td> Mollusc </td> <td> B. glabraba </td> <td> Swiss-Prot </td> <td> AF060203 </td> <td> Bg_beta </td> </tr> <tr> <td> Cnidaria </td> <td> A. millepora </td> <td> Swiss-Prot </td> <td> AF005356 </td> <td> Am_beta </td> </tr> <tr> <td> Porifera </td> <td> G. cydonium </td> <td> Swiss-Prot </td> <td> O97189 </td> <td> Gc_beta </td> </tr> </tbody> </table> </body> </html>
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<td> </td> <td> </td> <td> </td> <td> </td> <td> Mouse and Human: Highly expressed in I </td> <td> ASBT; ISBT </td> <td> [36, 37, 53] </td> </tr> <tr> <td> Slc12a4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.6 ± 0.5 </td> <td> </td> <td> 2.9 ± 0.5 </td> <td> </td> <td> - </td> <td> KCC1; RBCKCC1 </td> <td> </td> </tr> <tr> <td> Slc13a1 </td> <td> 2.8 ± 0.4 </td> <td> </td> <td> </td> <td> <b> 2.2 ± 0.5 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Mouse: D/J ~ C < I; Human: only in kidney </td> <td> Nas1; NaSi-1 </td> <td> [54, 55] </td> </tr> <tr> <td> Slc14a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.2 ± 1.2 </b> </td> <td> </td> <td> <b> 2.1 ± 1.2 </b> </td> <td> </td> <td> Human: Expressed in C; Rat: expressed in C </td> <td> UT-B </td> <td> [56, 57] </td> </tr> <tr> <td> Slc17a6 </td> <td> </td> <td> <b> 2.2 ± 0.4 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Rat: abundant in I </td> <td> DNPI, VGLUT2 </td> <td> [58] </td> </tr> <tr> <td> Slc17a7 </td> <td> <b> 2.2 ± 0. </b> 4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Vglut1 </td> <td> </td> </tr> <tr> <td> Slc19a3 </td> <td> 3.8 ± 0.9 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Human: D > J > C > I </td> <td> ThTr2 </td> <td> [59] </td> </tr> <tr> <td> Slc1a1 </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 0.2 </td> <td> 2.8 ± 0.2 </td> <td> </td> <td> </td> <td> </td> <td> Mouse: SI; rat: high in distal SI; human: intestine </td> <td> EAAC1, EAAC2, EAAT3, MEAAC1 </td> <td> [60-62] </td> </tr> <tr> <td> Slc20a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.4 </td> <td> </td> <td> </td> <td> Mouse: Present in D </td> <td> Glvr-1, Glvr1 </td> <td> [63] </td> </tr> <tr> <td> Slc25a22 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.3 </td> <td> </td> <td> 2.7 ± 0.3 </td> <td> </td> <td> Human: SI </td> <td> - </td> <td> [64] </td> </tr> <tr> <td> Slc26a2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.3 </td> <td> Human: C > SI </td> <td> Dtd, ST-OB </td> <td> [65] </td> </tr> <tr> <td> Slc26a6 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 5.4 ± 0.2 </td> <td> </td> <td> 6.1 ± 0.3 </td> <td> </td> <td> Mouse: D, J, I > C; Human: D>C>J~I, SI > C </td> <td> CFEX; Pat1 </td> <td> [66, 67] </td> </tr> <tr> <td> Slc28a3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.5 ± 1.2 </td> <td> </td> <td> 3.5 ± 1.1 </td> <td> </td> <td> Human: D > J > I > C </td> <td> Cnt3 </td> <td> [68] </td> </tr> <tr> <td> Slc2a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.9 ± 0.6 </td> <td> </td> <td> 3.10 ± 0.3 </td> <td> Rat: Low expressed in SI; Human: expressed in colon carcinoma </td> <td> Glut1; Glut-1 </td> <td> [69, 70] </td> </tr> <tr> <td> Slc2a2 </td> <td> </td> <td> </td> <td> 4.0 ± 0.4 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<td> </td> </tr> <tr> <td> Slc40a1 </td> <td> 5.7 ± 0.3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> </td> <td> Mouse:high in D, not detected in I; Rat: expressed in D, C; Human: highly expressed in D </td> <td> MTP; Ol5; Pcm; Dusg; Fpn1; MTP1; IREG1; Slc11a3; Slc39a1 </td> <td> [75-77] </td> </tr> <tr> <td> Slc4a7 </td> <td> 2.4 ± 0.2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.2 </td> <td> </td> <td> </td> <td> Human: expressed in SI and C </td> <td> NBC3; NBCn1 </td> <td> [78] </td> </tr> <tr> <td> Slc5a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.1 </b> </td> <td> </td> <td> 2.7 ± 0.2 </td> <td> </td> <td> Mouse and Human: Specific for SI; Rat: possible expression in C </td> <td> Sglt1 </td> <td> [79, 80] </td> </tr> <tr> <td> Slc6a14 </td> <td> </td> <td> </td> <td> </td> <td> 3.0 ± 1.9 </td> <td> </td> <td> 6.0 ± 1.8 </td> <td> </td> <td> 7.7 ± 0.7 </td> <td> Mouse: SI < C; Human: weak in C, absent in SI </td> <td> ATB0plus; CATB0plus </td> <td> [81, 82] </td> </tr> <tr> <td> Slc6a19 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 6.7 ± 0.6 </td> <td> </td> <td> 6.8 ± 0.6 </td> <td> </td> <td> - </td> <td> B<0>AT1 </td> <td> </td> </tr> <tr> <td> Slc6a4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.1 ± 0.1 </td> <td> </td> <td> 3.1 ± 0.2 </td> <td> </td> <td> Mouse and human: Intestinal enterocytes </td> <td> Htt; Sert; 5-HTT </td> <td> [83] </td> </tr> <tr> <td> Slc7a7 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.6 ± 0.1 </td> <td> </td> <td> 3.7 ± 0.2 </td> <td> </td> <td> Mouse: expressed in J, I; human: highly expressed in SI </td> <td> my+lat1 </td> <td> [84, 85] </td> </tr> <tr> <td> Slc7a8 </td> <td> </td> <td> <b> 2.1 ± 0.4 </b> </td> <td> </td> <td> </td> <td> 5.2 ± 0.7 </td> <td> </td> <td> 5.7 ± 0.8 </td> <td> </td> <td> Mouse: expressed in SI </td> <td> LAT2 </td> <td> [86] </td> </tr> <tr> <td> Slc7a9 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.8 ± 0.2 </td> <td> </td> <td> 3.4 ± 0.2 </td> <td> </td> <td> Mouse and human: expressed in SI </td> <td> CSNU3 </td> <td> [85] </td> </tr> <tr> <td> Slco1b2 </td> <td> <b> 2.1 ± 1.1 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> OATP2; Oatp4; lst-1; OATP-C; mlst-1; Slc21a6; Slc21a10 </td> <td> </td> </tr> </tbody> </table> </body> </html>
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Apoc2 </td> <td> </td> <td> </td> <td> 3.7 ± 0.5 </td> <td> </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> 4.9 ± 0.6 </td> <td> </td> <td> Mouse: expressed in intestine; Rabbit: expressed in J, D; Human: expressed in J </td> <td> - </td> <td> [87-89] </td> </tr> <tr> <td> Aqp4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 4.6 ± 0.8 </td> <td> </td> <td> 4.3 ± 0.3 </td> <td> Mouse: present in SI in crypt cells, and C in epithelial surface cells; rat: SI, C </td> <td> MIWC; mMIWC </td> <td> [90, 91] </td> </tr> <tr> <td> Aqp5 </td> <td> 2.9 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Rat: D only </td> <td> - </td> <td> [91] </td> </tr> <tr> <td> Aqp8 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 4.8 ± 0.6 </td> <td> </td> <td> 3.9 ± 0.4 </td> <td> Rat: SI and C </td> <td> - </td> <td> [91] </td> </tr> <tr> <td> Atp2a3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.2 </b> </td> <td> Human: C > SI </td> <td> Serca3; SERCA3b </td> <td> [92] </td> </tr> <tr> <td> Atp7a </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> </td> <td> 4.0 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Human: Highly expressed in D </td> <td> Mo; br; Blo; I14; blotchy; mottled; MNK; brindled </td> <td> [93] </td> </tr> <tr> <td> Chrna1 </td> <td> 2.5 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Acra; Achr-1 </td> <td> - </td> </tr> <tr> <td> Chrne </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 0.4 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Acre </td> <td> - </td> </tr> <tr> <td> Csng </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 0.8 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Csn1s2a; Csn1s2b </td> <td> - </td> </tr> <tr> <td> D11Ertd18e </td> <td> </td> <td> </td> <td> 4.7 ± 0.5 </td> <td> </td> <td> </td> <td> 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</td> <td> </td> <td> 2.9 ± 1.0 </td> <td> </td> <td> </td> <td> - </td> <td> D7Ertd152e </td> <td> - </td> </tr> <tr> <td> Stx1b1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 3.0 ± 1.2 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Stx1bl </td> <td> - </td> </tr> <tr> <td> Trpm7 </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 1.0 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> CHAK; PLIK CHAK1; Ltpr7; Ltrpc7; </td> <td> - </td> </tr> <tr> <td> Xdh </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.3 </td> <td> </td> <td> Mouse: Strong in SI </td> <td> Xor; Xox1; Xox-1 </td> <td> [99] </td> </tr> </tbody> </table> </body> </html>
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</td> <td> </td> <td> <b> Duodenum </b> </td> <td> <b> Jejunum </b> </td> <td> <b> Ileum </b> </td> <td> <b> Colon </b> </td> </tr> <tr> <td> Abca1 </td> <td> D=J=I=C </td> <td> J=I=C>D </td> <td> Crypts>Villi </td> <td> ND </td> <td> ND </td> <td> ND </td> </tr> <tr> <td> Abcc1 </td> <td> D=J=I=C </td> <td> I=C>D=J </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> ND </td> </tr> <tr> <td> Abcc3 </td> <td> D=C>J=C>I=C </td> <td> I=C>D=J </td> <td> ND </td> <td> Crypts>Villi </td> <td> ND </td> <td> Crypts>Villi </td> </tr> <tr> <td> Abcg8 </td> <td> J>I=D>C </td> <td> D=J=I>C </td> <td> ND </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> <td> ND </td> </tr> <tr> <td> Slc10a2 </td> <td> I>C>D=J </td> <td> I>C>D=J </td> <td> ND </td> <td> ND </td> <td> Villi>Crypts </td> <td> ND </td> </tr> <tr> <td> Slc28a2 </td> <td> D>J>I>C </td> <td> D=J=I>C </td> <td> ND </td> <td> Villi>Crypts <sup> x </sup> </td> <td> Villi>Crypts <sup> x </sup> </td> <td> ND </td> </tr> <tr> <td> Slc2a1 </td> <td> C>D=J=I </td> <td> C>I>D=J </td> <td> ND </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> Crypts>Villi <sup> x </sup> </td> </tr> <tr> <td> Slc34a2 </td> <td> I>C>J>D </td> <td> I>C=J>D </td> <td> ND </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> </tr> <tr> <td> Slc5a8 </td> <td> C>I>D=J </td> <td> C=I>J>D </td> <td> ND </td> <td> Villi>Crypts </td> <td> ND </td> <td> ND </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 5.7% </td> <td> 9.6% </td> <td> 0.4% </td> <td> [5] </td> </tr> <tr> <td> Urinary tract infection </td> <td> 3.9% </td> <td> 6.5% </td> <td> 0.4% </td> <td> [5] </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Background information </b> </td> </tr> </thead> <tbody> <tr> <td> Population data </td> </tr> <tr> <td> Economic data </td> </tr> <tr> <td> Health status data </td> </tr> <tr> <td> Health system data </td> </tr> <tr> <td> Human resources </td> </tr> <tr> <td> Drug sector organization </td> </tr> <tr> <td> <b> Structural and process indicators (quantitative and qualitative) </b> </td> </tr> <tr> <td> Legislation and regulation </td> </tr> <tr> <td> Essential drugs selection and drug registration </td> </tr> <tr> <td> Drug allocation in the health budget/public sector financing policy </td> </tr> <tr> <td> Public sector procurement procedures </td> </tr> <tr> <td> Public sector distribution and logistics </td> </tr> <tr> <td> Pricing policy </td> </tr> <tr> <td> Information and continuing education on drug use </td> </tr> <tr> <td> <b> Outcome indicators </b> </td> </tr> <tr> <td> Availability of essential drugs </td> </tr> <tr> <td> Accessibility of essential drugs </td> </tr> <tr> <td> Quality of drugs </td> </tr> <tr> <td> Rational use of drugs </td> </tr> </tbody> </table> </body> </html>
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</thead> <tbody> <tr> <td> Prenatal </td> <td> Mother smoked in pregnancy </td> <td> 1.54 (1.01 to 2.33) </td> <td> 1.32 (0.86 to 2.01) </td> <td> 1.41 (0.90 to 2.21) </td> <td> 1.36 (0.86 to 2.14) </td> </tr> <tr> <td> Home </td> <td> 1st quartile (0–9 yrs) </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> </tr> <tr> <td> </td> <td> 2nd quartile (10–21 yrs) </td> <td> 0.99 (0.69 to 1.41) </td> <td> 0.88 (0.61 to 1.25) </td> <td> 0.92 (0.64 to 1.34) </td> <td> 0.90 (0.62 to 1.31) </td> </tr> <tr> <td> </td> <td> 3rd quartile (22–41 yrs) </td> <td> 1.21 (0.86 to 1.70) </td> <td> 0.95 (0.67 to 1.35) </td> <td> 0.95 (0.66 to 1.37) </td> <td> 0.94 (0.65 to 1.36) </td> </tr> <tr> <td> </td> <td> 4th quartile (≥42 yrs) </td> <td> 2.69 (1.97 to 3.68) </td> <td> 1.88 (1.35 to 2.61) </td> <td> 1.68 (1.19 to 2.38) </td> <td> 1.55 (1.09 to 2.21) </td> </tr> <tr> <td> Work </td> <td> 1st & 2nd quartile (0–5 yrs)* </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> <td> 1.0 (referent) </td> </tr> <tr> <td> </td> <td> 3rd quartile (6–22 yrs) </td> <td> 1.14 (0.86 to 1.51) </td> <td> 0.97 (0.73 to 1.30) </td> <td> 1.02 (0.76 to 1.38) </td> <td> 0.91 (0.67 to 1.24) </td> </tr> <tr> <td> </td> <td> 4th quartile (≥23 yrs) </td> <td> 1.73 (1.34 to 2.24) </td> <td> 1.34 (1.02 to 1.75) </td> <td> 1.60 (1.20 to 2.14) </td> <td> 1.36 (1.002 to 1.84) </td> </tr> </tbody> </table> </body> </html>
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<tbody> <tr> <td> Sex </td> <td> Male </td> <td> 2.8 (1.9 – 3.6) </td> <td> 2.5 (1.9 – 3.1) </td> <td> 2.9 (2.2 – 3.6) </td> <td> 2.7 </td> </tr> <tr> <td> </td> <td> Female </td> <td> 4.3 (3.7 – 5.0) </td> <td> 4.7 (3.8 – 5.5) </td> <td> 4.6 (3.8 – 5.3) </td> <td> 4.5 </td> </tr> <tr> <td> Age </td> <td> 12–25 </td> <td> 5.3 (3.8 – 6.9) </td> <td> 5.2 (3.5 – 6.8) </td> <td> 4.8 (3.3 – 6.2) </td> <td> 5.1 </td> </tr> <tr> <td> </td> <td> 26–45 </td> <td> 3.6 (2.7 – 4.5) </td> <td> 3.8 (3.1 – 4.5) </td> <td> 4.1 (3.6 – 5.2) </td> <td> 3.8 </td> </tr> <tr> <td> </td> <td> 46–65 </td> <td> 2.8 (2.0 – 3.6) </td> <td> 2.8 (1.8 – 3.7) </td> <td> 2.7 (2.0 – 3.5) </td> <td> 2.8 </td> </tr> <tr> <td> </td> <td> > 65 </td> <td> 1.5 (0.5 – 2.4) </td> <td> 1.6 (0.6 – 2.6) </td> <td> 1.5 (0.6 – 2.4) </td> <td> 1.5 </td> </tr> <tr> <td> Marital Status </td> <td> Wid/Sep/Div or Single </td> <td> 3.7 (2.4 – 5.0) </td> <td> 3.5 (2.4 – 4.5) </td> <td> 3.5 (2.5 – 4.5) </td> <td> 3.6 </td> </tr> <tr> <td> </td> <td> Married* </td> <td> 3.6 (3.0 – 4.1) </td> <td> 3.5 (3.2 – 4.4) </td> <td> 3.8 (3.2 – 4.4) </td> <td> 3.6 </td> </tr> <tr> <td> Education </td> <td> Some > HS </td> <td> 2.8 (2.2 – 3.2) </td> <td> 3.9 (3.2 – 4.7) </td> <td> 3.7 (3.1 – 4.4) </td> <td> 3.5 </td> </tr> <tr> <td> </td> <td> ≤ High School </td> <td> 4.6 (3.6 – 5.4) </td> <td> 2.9 (2.3 – 3.6) </td> <td> 3.8 (2.9 – 4.7) </td> <td> 3.8 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 8 (15.7) </td> <td> 7 (13.7) </td> <td> 5 (9.8) </td> <td> 5 (9.8) </td> </tr> <tr> <td> Verbal threats </td> <td> 9 (17.6) </td> <td> 7 (13.7) </td> <td> 4 (7.9) </td> <td> 4 (7.8) </td> <td> 4 (7.8) </td> </tr> <tr> <td> Pushing </td> <td> 4 (7.8) </td> <td> 2 (3.9) </td> <td> 0 (0.0) </td> <td> 1 (2.0) </td> <td> 1 (2.0) </td> </tr> <tr> <td> Slapping </td> <td> 2 (3.9) </td> <td> 2 (3.9) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Punching </td> <td> 1 (2.0) </td> <td> 2 (3.9) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Use of weapons </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Inappropriate sexual behaviour </td> <td> 2 (4.0) </td> <td> 1 (2.0) </td> <td> 1 (2.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Aggressive sexual behaviour </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Other antisocial acts </td> <td> 4 (7.9) </td> <td> 3 (5.9) </td> <td> 1 (2.0) </td> <td> 0 (0.0) </td> <td> 0 (0.0) </td> </tr> <tr> <td> Days in gaol </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> At least one aggressive behaviour </td> <td> 18 (35.3) </td> <td> 14 (27.5) </td> <td> 13 (25.5) </td> <td> 13 (25.5) </td> <td> 12 (23.5) </td> </tr> <tr> <td> Moderate to high index of misconduct </td> <td> 11 (21.6) </td> <td> 6 (11.8) </td> <td> 3 (5.9) </td> <td> 3 (5.9) </td> <td> 3 (5.9) </td> </tr> </tbody> </table> </body> </html>
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It specifies the common characteristics that objects created from it will contain </td> <td> Classes are created from gene products whose characteristics are defined by the GO molecular function and cellular component terms </td> <td> The class Smad 2 is created based on the properties of the gene product Smad 2, which are defined by molecular functions such as "protein homodimerization' (GO:0042803) and 'ATP binding' (GO:0042301) </td> </tr> <tr> <td> Object </td> <td> An instance of a class that contains unique properties </td> <td> Objects are created from the template classes, but may contain properties unique to a particular object </td> <td> Two different Smad 2 objects may be created, one of which is phosphorylated, and one which is not </td> </tr> <tr> <td> Inheritance </td> <td> Relationships between classes, whereby a more specific class inherits all the properties and methods of the classes they belong to </td> <td> Relationships defined by 'is a' are generalizations in which child classes of the DAG inherit the properties of the parent class (if a child class has multiple parent classes, multiple inheritance applies) </td> <td> The cellular component 'plasma membrane' (GO:0005886) inherits the properties of the general class cellular component 'membrane' (GO:0016020) </td> </tr> <tr> <td> Composition </td> <td> Certain objects may be assembled from collections of other objects </td> <td> 'part_of' relationships defined in the GO DAG are rendered as composition relationships in an OOM </td> <td> The 'membrane' (GO:0005623) and 'intracellular' (GO:0005622) space are part of the 'cell' (GO:0005623) </td> </tr> <tr> <td> Polymorphism </td> <td> The ability of an object to interpret messages differently when received by different objects </td> <td> GO functions may change for different proteins and be given different input and output values </td> <td> The function 'protein homodimerization activity' (GO:0042803) in the context of SMAD2 accepts two SMAD2s and outputs a dimerized SMAD2, whereas in the context of TGF-beta receptor II it accepts two receptors and outputs a dimerized receptor </td> </tr> <tr> <td> Encapsulation </td> <td> Hiding the state and implementation of an object </td> <td> The exact mechanism by which an object is created is hidden in an OOM </td> <td> The details involved in the translation (GO: 0043037) of Smad 2 are hidden, but a Smad 2 molecule is still created </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 698 </td> <td> 718 </td> <td> 12558 </td> </tr> <tr> <td> 5 </td> <td> 736 </td> <td> 734 </td> <td> 754 </td> <td> 12558 </td> </tr> <tr> <td> 6 </td> <td> 751 </td> <td> 763 </td> <td> 765 </td> <td> 12558 </td> </tr> <tr> <td> 7 </td> <td> 702 </td> <td> 695 </td> <td> 709 </td> <td> 12558 </td> </tr> <tr> <td> 8 </td> <td> 667 </td> <td> 665 </td> <td> 679 </td> <td> 12558 </td> </tr> <tr> <td> 9 </td> <td> 747 </td> <td> 747 </td> <td> 759 </td> <td> 12558 </td> </tr> <tr> <td> 10 </td> <td> 728 </td> <td> 730 </td> <td> 736 </td> <td> 12558 </td> </tr> <tr> <td> 11 </td> <td> 713 </td> <td> 717 </td> <td> 713 </td> <td> 12558 </td> </tr> <tr> <td> 12 </td> <td> 696 </td> <td> 699 </td> <td> 685 </td> <td> 12558 </td> </tr> <tr> <td> 13 </td> <td> 743 </td> <td> 750 </td> <td> 762 </td> <td> 12558 </td> </tr> <tr> <td> 14 </td> <td> 725 </td> <td> 721 </td> <td> 733 </td> <td> 12558 </td> </tr> <tr> <td> 15 </td> <td> 691 </td> <td> 691 </td> <td> 740 </td> <td> 12558 </td> </tr> <tr> <td> 16 </td> <td> 789 </td> <td> 789 </td> <td> 799 </td> <td> 12558 </td> </tr> <tr> <td> 17 </td> <td> 724 </td> <td> 725 </td> <td> 669 </td> <td> 12558 </td> </tr> <tr> <td> 18 </td> <td> 716 </td> <td> 712 </td> <td> 722 </td> <td> 12558 </td> </tr> <tr> <td> 19 </td> <td> 762 </td> <td> 762 </td> <td> 720 </td> <td> 12558 </td> </tr> <tr> <td> 20 </td> <td> 676 </td> <td> 673 </td> <td> 708 </td> <td> 12558 </td> </tr> <tr> <td> Mean </td> <td> 724.6 </td> <td> 724.5 </td> <td> 729.5 </td> <td> 12558 </td> </tr> <tr> <td> STD </td> <td> 30.1 </td> <td> 31.8 </td> <td> 31.9 </td> <td> 0 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> 471 </td> <td> 582 </td> <td> 591 </td> <td> 10656 </td> </tr> <tr> <td> 3 </td> <td> 436 </td> <td> 523 </td> <td> 614 </td> <td> 12506 </td> </tr> <tr> <td> 4 </td> <td> 644 </td> <td> 643 </td> <td> 744 </td> <td> 11031 </td> </tr> <tr> <td> 5 </td> <td> 677 </td> <td> 739 </td> <td> 765 </td> <td> 11320 </td> </tr> <tr> <td> 6 </td> <td> 610 </td> <td> 543 </td> <td> 570 </td> <td> 12413 </td> </tr> <tr> <td> 7 </td> <td> 612 </td> <td> 863 </td> <td> 788 </td> <td> 12429 </td> </tr> <tr> <td> 8 </td> <td> 802 </td> <td> 727 </td> <td> 711 </td> <td> 12077 </td> </tr> <tr> <td> 9 </td> <td> 1743 </td> <td> 1406 </td> <td> 1077 </td> <td> 11898 </td> </tr> <tr> <td> 10 </td> <td> 975 </td> <td> 895 </td> <td> 920 </td> <td> 12001 </td> </tr> <tr> <td> 11 </td> <td> 1352 </td> <td> 1330 </td> <td> 1543 </td> <td> 12453 </td> </tr> <tr> <td> 12 </td> <td> 670 </td> <td> 707 </td> <td> 686 </td> <td> 12480 </td> </tr> <tr> <td> 13 </td> <td> 1874 </td> <td> 1849 </td> <td> 1890 </td> <td> 6913 </td> </tr> <tr> <td> 14 </td> <td> 1858 </td> <td> 1765 </td> <td> 1808 </td> <td> 9371 </td> </tr> <tr> <td> 15 </td> <td> 1925 </td> <td> 1790 </td> <td> 1974 </td> <td> 12469 </td> </tr> <tr> <td> 16 </td> <td> 1792 </td> <td> 1718 </td> <td> 1796 </td> <td> 12520 </td> </tr> <tr> <td> 17 </td> <td> 1764 </td> <td> 1526 </td> <td> 1679 </td> <td> 12499 </td> </tr> <tr> <td> 18 </td> <td> 1769 </td> <td> 1684 </td> <td> 1821 </td> <td> 12509 </td> </tr> <tr> <td> 19 </td> <td> 1476 </td> <td> 1300 </td> <td> 1569 </td> <td> 12514 </td> </tr> <tr> <td> 20 </td> <td> 2223 </td> <td> 2307 </td> <td> 2148 </td> <td> 12507 </td> </tr> <tr> <td> Mean </td> <td> 1207.8 </td> <td> 1170.9 </td> <td> 1210.3 </td> <td> 11743.2 </td> </tr> <tr> <td> STD </td> <td> 617.3 </td> <td> 557.5 </td> <td> 576.5 </td> <td> 1402 </td> </tr> </tbody> </table> </body> </html>
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with: </b> </td> <td> <b> Mucosal ulcer </b> </td> <td> <b> Total dysplasia </b> </td> <td colspan="2"> <b> Dysplasia with: </b> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> Mild atypia </b> </td> <td> <b> Severe atypia </b> </td> <td> </td> <td> </td> <td> <b> Mild atypia </b> </td> <td> <b> Severe atypia </b> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> AOM/DSS </td> <td> 40% </td> <td> 90% </td> <td> 80% </td> <td> 50% </td> <td> 0.5 ± 0.7 </td> <td> 3.2 ± 1.5 </td> <td> 1.4 ± 1.0 </td> <td> 1.1 ± 1.3 </td> </tr> <tr> <td> 2 </td> <td> AOM/DSS/0.04% Nimesulide </td> <td> 10% </td> <td> 90% </td> <td> 80% </td> <td> 50% </td> <td> 0.1 ± 0.3 </td> <td> 2.2 ± 2.3 </td> <td> 1.2 ± 0.9 </td> <td> 0.6 ± 0.7 </td> </tr> <tr> <td> 3 </td> <td> AOM/DSS/0.05% Troglitazone </td> <td> 20% </td> <td> 90% </td> <td> 50% </td> <td> 30% </td> <td> 0.3 ± 0.7 </td> <td> 2.1 ± 2.2 </td> <td> 0.7 ± 0.8 </td> <td> 0.8 ± 1.6 </td> </tr> <tr> <td> 4 </td> <td> AOM/DSS/0.05% Bezafibrate </td> <td> 30% </td> <td> 80% </td> <td> 60% </td> <td> 20% </td> <td> 0.4 ± 0.7 </td> <td> 1.9 ± 1.8 </td> <td> 0.9 ± 1.0 </td> <td> 0.4 ± 0.8 </td> </tr> </tbody> </table> </body> </html>
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total dose (Gy) </b> </td> <td> <b> median tumor volume (ml) </b> </td> <td> <b> chemo-therapy </b> </td> <td> <b> overall survival (median) </b> </td> <td> <b> surgery for toxicity </b> </td> <td> <b> prognostic factors </b> </td> <td> <b> comment </b> </td> </tr> </thead> <tbody> <tr> <td> Shepherd et al., 1997 [4] </td> <td> 29 ("high-grade astrocy-toma") </td> <td> 5 (daily) </td> <td> 20–50 </td> <td> 24 (3–93) </td> <td> -- </td> <td> 10.7 months </td> <td> 6% </td> <td> initial low-grade histology associated with longer survival </td> <td> 36% steroid dependent toxicity (increased risk >40 Gy) </td> </tr> <tr> <td> Glass et al., 1997 [6] </td> <td> 20 (7 grade III, 13 grade IV) </td> <td> 3.5–6 (twice / week) </td> <td> 35–42 </td> <td> 14 (2–122) </td> <td> cisplatin 40 mg/m <sup> 2 </sup> weekly </td> <td> 12.7 months </td> <td> 15% pre-dominant necrosis on re-operation </td> <td> -- </td> <td> 40% treated within 10 weeks of first RT series for ("potential") progression </td> </tr> <tr> <td> Hudes et al., 1999 [5] </td> <td> 19 (glio-blastoma) </td> <td> 3–3.5 (daily) </td> <td> 24–35 </td> <td> 13 (1–48) </td> <td> -- </td> <td> 10.5 months </td> <td> 0% </td> <td> "minor response" on imaging associated with ≥30 Gy and ≤20 ml </td> <td> recurrent or persistent tumors treated, median interval between completion of RT and HFSRT only 3.1 months </td> </tr> <tr> <td> Lederman et al., 2000 [7] </td> <td> 88 (glio-blastoma) </td> <td> 4–9 (weekly) </td> <td> 18–36 </td> <td> 32.7 (2–150) </td> <td> paclitaxel 120 mg/m <sup> 2 </sup> (median) weekly </td> <td> 7 months </td> <td> 8% necrosis only at re-operation </td> <td> volume ≥30 ml associated with longer survival </td> <td> median time from diagnosis to HFSRT only 6.5 months </td> </tr> <tr> <td> Voynov et al., 2002 [8] </td> <td> 10 (5 WHO grade III, 5 grade IV) </td> <td> 5 </td> <td> 30 </td> <td> 34.7 </td> <td> -- </td> <td> 10.1 months </td> <td> ? </td> <td> -- </td> <td> stereotactic intensity-modulated radiotherapy (IMRT) used </td> </tr> <tr> <td> <b> present series </b> </td> <td> 19 (5 WHO grade III, 14 grade IV) </td> <td> 4–10 (daily) </td> <td> 20–30 </td> <td> 15 (4–70) </td> <td> -- </td> <td> 9.3 months </td> <td> 0% </td> <td> WHO grade IV and <30 Gy associated with short survival </td> <td> median interval post-OP RT to HFSRT 19 months </td> </tr> </tbody> </table> </body> </html>
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train	463,667	{'cells': [{'tokens': ['<b>', 'C', 'a', 't', 'e', 'g', 'o', 'r', 'y', '</b>'], 'bbox': [4, 4, 37, 14]}, {'tokens': ['<b>', 'D', 'e', 'f', 'i', 'n', 'i', 't', 'i', 'o', 'n', '</b>'], 'bbox': [135, 4, 171, 14]}, {'tokens': ['N', 'o', 'n', 's', 'e', 'n', 's', 'e'], 'bbox': [4, 27, 40, 36]}, {'tokens': ['S', 'i', 'n', 'g', 'l', 'e', ' ', 'n', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', ' ', 's', 'u', 'b', 's', 't', 'i', 't', 'u', 't', 'i', 'o', 'n', ' ', 'c', 'r', 'e', 'a', 't', 'e', 's', ' ', 'a', ' ', 's', 't', 'o', 'p', ' ', 'c', 'o', 'd', 'o', 'n', ' ', 'i', 'n', ' ', 't', 'h', 'e', ' ', 'o', 'p', 'e', 'n', ' ', 'r', 'e', 'a', 'd', 'i', 'n', 'g', ' ', 'f', 'r', 'a', 'm', 'e', '.'], 'bbox': [135, 27, 398, 36]}, {'tokens': ['S', 'p', 'l', 'i', 'c', 'i', 'n', 'g'], 'bbox': [4, 37, 31, 47]}, {'tokens': ['N', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', ' ', 's', 'u', 'b', 's', 't', 'i', 't', 'u', 't', 'i', 'o', 'n', ',', ' ', 'd', 'e', 'l', 'e', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'i', 'n', ' ', 'c', 'o', 'n', 's', 'e', 'n', 's', 'u', 's', ' ', 's', 'p', 'l', 'i', 'c', 'e', ' ', 's', 'i', 't', 'e', '.'], 'bbox': [135, 37, 370, 47]}, {'tokens': ['F', 'r', 'a', 'm', 'e', '-', 's', 'h', 'i', 'f', 't', 'i', 'n', 'g', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'd', 'e', 'l', 'e', 't', 'i', 'o', 'n'], 'bbox': [4, 47, 125, 57]}, {'tokens': ['D', 'e', 'l', 'e', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'o', 'f', ' ', 'n', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', 's', ' ', 'i', 'n', ' ', 't', 'h', 'e', ' ', 'o', 'p', 'e', 'n', ' ', 'r', 'e', 'a', 'd', 'i', 'n', 'g', ' ', 'f', 'r', 'a', 'm', 'e', ' ', '–', ' ', 't', 'o', 't', 'a', 'l', ' ', 'n', 'u', 'm', 'b', 'e', 'r', ' ', 'n', 'o', 't', ' ', 'd', 'i', 'v', 'i', 's', 'i', 'b', 'l', 'e', ' ', 'b', 'y', ' ', 't', 'h', 'r', 'e', 'e', '.'], 'bbox': [135, 47, 473, 57]}, {'tokens': ['I', 'n', '-', 'f', 'r', 'a', 'm', 'e', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'd', 'e', 'l', 'e', 't', 'i', 'o', 'n'], 'bbox': [4, 57, 106, 67]}, {'tokens': ['D', 'e', 'l', 'e', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'o', 'f', ' ', 'n', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', 's', ' ', 'i', 'n', ' ', 't', 'h', 'e', ' ', 'o', 'p', 'e', 'n', ' ', 'r', 'e', 'a', 'd', 'i', 'n', 'g', ' ', 'f', 'r', 'a', 'm', 'e', ' ', '–', ' ', 't', 'o', 't', 'a', 'l', ' ', 'n', 'u', 'm', 'b', 'e', 'r', ' ', 'd', 'i', 'v', 'i', 's', 'i', 'b', 'l', 'e', ' ', 'b', 'y', ' ', 't', 'h', 'r', 'e', 'e', '.'], 'bbox': [135, 57, 459, 67]}, {'tokens': ['M', 'i', 's', 's', 'e', 'n', 's', 'e'], 'bbox': [4, 68, 36, 77]}, {'tokens': ['S', 'i', 'n', 'g', 'l', 'e', ' ', 'n', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', ' ', 's', 'u', 'b', 's', 't', 'i', 't', 'u', 't', 'i', 'o', 'n', ' ', 'c', 'h', 'a', 'n', 'g', 'e', 's', ' ', 'o', 'n', 'e', ' ', 'a', 'm', 'i', 'n', 'o', ' ', 'a', 'c', 'i', 'd', ' ', 'c', 'o', 'd', 'o', 'n', ' ', 't', 'o', ' ', 'a', 'n', 'o', 't', 'h', 'e', 'r', ' ', 'i', 'n', ' ', 't', 'h', 'e', ' ', 'o', 'p', 'e', 'n', ' ', 'r', 'e', 'a', 'd', 'i', 'n', 'g', ' ', 'f', 'r', 'a', 'm', 'e', '.'], 'bbox': [135, 68, 468, 77]}, {'tokens': ['R', 'u', 'n', '-', 'o', 'n'], 'bbox': [4, 78, 31, 88]}, {'tokens': ['N', 'u', 'c', 'l', 'e', 'o', 't', 'i', 'd', 'e', ' ', 's', 'u', 'b', 's', 't', 'i', 't', 'u', 't', 'i', 'o', 'n', ',', ' ', 'i', 'n', 's', 'e', 'r', 't', 'i', 'o', 'n', ' ', 'o', 'r', ' ', 'd', 'e', 'l', 'e', 't', 'i', 'o', 'n', ' ', 'c', 'h', 'a', 'n', 'g', 'e', 's', ' ', 't', 'h', 'e', ' ', 't', 'e', 'r', 'm', 'i', 'n', 'a', 't', 'i', 'o', 'n', ' ', 'c', 'o', 'd', 'o', 'n', ' ', 't', 'o', ' ', 'a', 'n', ' ', 'a', 'm', 'i', 'n', 'o', ' ', 'a', 'c', 'i', 'd', ' ', 'c', 'o', 'd', 'o', 'n', '.', ' ', 'T', 'r', 'a', 'n', 's', 'l', 'a', 't', 'i', 'o', 'n', ' ', 'i', 's', ' ', 'p', 'r', 'e', 'd', 'i', 'c', 't', 'e', 'd', ' ', 't', 'o', ' ', 'c', 'o', 'n', 't', 'i', 'n', 'u', 'e', ' ', 'i', 'n', 't', 'o', ' ', 't', 'h', 'e', ' ', '3', "'", 'U', 'T', 'R', '.'], 'bbox': [135, 78, 478, 97]}], 'structure': {'tokens': ['<thead>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</tbody>']}}	<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Category </b> </td> <td> <b> Definition </b> </td> </tr> </thead> <tbody> <tr> <td> Nonsense </td> <td> Single nucleotide substitution creates a stop codon in the open reading frame. </td> </tr> <tr> <td> Splicing </td> <td> Nucleotide substitution, deletion or insertion in consensus splice site. </td> </tr> <tr> <td> Frame-shifting insertion or deletion </td> <td> Deletion or insertion of nucleotides in the open reading frame – total number not divisible by three. </td> </tr> <tr> <td> In-frame insertion or deletion </td> <td> Deletion or insertion of nucleotides in the open reading frame – total number divisible by three. </td> </tr> <tr> <td> Missense </td> <td> Single nucleotide substitution changes one amino acid codon to another in the open reading frame. </td> </tr> <tr> <td> Run-on </td> <td> Nucleotide substitution, insertion or deletion changes the termination codon to an amino acid codon. Translation is predicted to continue into the 3'UTR. </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Nucleotide change </b> </td> <td> <b> Codon change </b> </td> <td> <b> Location </b> </td> <td> <b> Mutation type </b> </td> <td> <b> Reports </b> </td> </tr> </thead> <tbody> <tr> <td> 414G>A </td> <td> ACG>ACA (G18R) </td> <td> PD exon 5 </td> <td> Missense </td> <td> 1 </td> </tr> <tr> <td> 494C>T </td> <td> CGA>TGA (R44X) </td> <td> PD exon 5 </td> <td> Nonsense </td> <td> 1 </td> </tr> <tr> <td> 493G>A </td> <td> CGA>CAA (R44Q) </td> <td> PD exon 5 </td> <td> Missense </td> <td> 1 </td> </tr> <tr> <td> 669C>T </td> <td> CGA>TGA (R103X) </td> <td> PD exon 6 </td> <td> Nonsense </td> <td> 3 </td> </tr> <tr> <td> 744C>T </td> <td> CGC>TGC (R128C) </td> <td> PD exon 7 </td> <td> Missense </td> <td> 2 </td> </tr> <tr> <td> 782C>T </td> <td> GAC>GAT (D140D) </td> <td> LNK exon 7 </td> <td> Neutral </td> <td> 1 </td> </tr> <tr> <td> 969C>T </td> <td> CGA>TGA (R203X) </td> <td> LNK exon 8 </td> <td> Nonsense </td> <td> 15 </td> </tr> <tr> <td> 984C>T </td> <td> CGG>TGG (R208W) </td> <td> LNK exon 8 </td> <td> Missense </td> <td> 1 </td> </tr> <tr> <td> 985G>A </td> <td> CGG>CAG (R208Q) </td> <td> LNK exon 8 </td> <td> Missense </td> <td> 1 </td> </tr> <tr> <td> 1080C>T </td> <td> CGA>TGA (R240X) </td> <td> HD exon 9 </td> <td> Nonsense </td> <td> 21 </td> </tr> <tr> <td> 1143C>T </td> <td> CGA>TGA (R261X) </td> <td> HD exon 10 </td> <td> Nonsense </td> <td> 8 </td> </tr> <tr> <td> 1311C>T </td> <td> CGA>TGA (R317X) </td> <td> PST exon 11 </td> <td> Nonsense </td> <td> 16 </td> </tr> </tbody> </table> </body> </html>
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Yes </td> </tr> <tr> <td> 1426ins5 </td> <td> Exon 12 </td> <td> PTC at TGA starting at base 1469 </td> <td> FSI </td> <td> Yes </td> </tr> <tr> <td> 1452delG </td> <td> Exon 12 </td> <td> PTC at TGA starting at base 1453 </td> <td> FSD </td> <td> Yes </td> </tr> <tr> <td> 1469T>G (Y369X) </td> <td> Exon 12 </td> <td> Immediate PTC </td> <td> N </td> <td> Yes </td> </tr> <tr> <td> 1513del4 </td> <td> Exon 12 </td> <td> Run-on into 3'UTR </td> <td> FSD </td> <td> No </td> </tr> <tr> <td> 1520delGGinsT </td> <td> Exon 12 </td> <td> Run-on into 3'UTR </td> <td> FSD </td> <td> No </td> </tr> <tr> <td> 1545G>C </td> <td> Exon 12 </td> <td> Run-on into 3'UTR </td> <td> S </td> <td> No </td> </tr> <tr> <td> IVS12+1del3 </td> <td> Intron 12 </td> <td> Run-on into 3'UTR </td> <td> S </td> <td> No </td> </tr> <tr> <td> IVS12+4A>G </td> <td> Intron 12 </td> <td> Run-on into 3'UTR </td> <td> S </td> <td> No </td> </tr> <tr> <td> IVS12+5G>A </td> <td> Intron 12 </td> <td> Run-on into 3'UTR </td> 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input to primer3 for amplicon generation for PCR-RFLP analyses are chosen by sliding a window along the consensus gestalt. Each new window must start at least jump bases from the start of the previous window. </td> </tr> <tr> <td> <b> precision </b> </td> <td> there must be at least one difference in fragment lengths among all input genomes that is at least this long for the given amplicon+enzyme combination to be considered variable enough for further PCR-RFLP examination. </td> </tr> <tr> <td> <b> num_restriction_enzymes </b> </td> <td> number of restriction enzymes used in an PCR-RFLP analysis before a single electrophoretic determination of fragment length distributions is made. This number may range from 0–3. </td> </tr> <tr> <td> <b> number_combinations_to_test </b> </td> <td> maximum number of haplotypes per combination tested in a multi-locus solution set to maximally discriminate all the input sequences. Thus, combinatorics are performed on <sub> number haplotypess </sub> C <sub> number_combinations_to_test </sub> total combinations. </td> </tr> </tbody> </table> </body> </html>
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<td> Septicemia </td> <td> CML </td> <td> Groin skin </td> <td> 27 </td> <td> No </td> <td> No </td> <td> NT </td> </tr> <tr> <td> 4506 </td> <td> 44/M </td> <td> Haematology </td> <td> Septicemia </td> <td> AML </td> <td> Abdominal wall skin </td> <td> 46 </td> <td> vancomycin (20) </td> <td> No </td> <td> NT </td> </tr> <tr> <td> 4507 </td> <td> 46/F </td> <td> Haematology </td> <td> Septicemia </td> <td> ALL </td> <td> Axilla skin </td> <td> 60 </td> <td> vancomycin (10) </td> <td> No </td> <td> NT </td> </tr> <tr> <td> 4508 </td> <td> 26/M </td> <td> SICU </td> <td> Septicemia </td> <td> Trauma and Fracures Of mandibula and maxilla </td> <td> Blood </td> <td> 31 </td> <td> No </td> <td> vancomycin (10) </td> <td> Improved </td> </tr> <tr> <td> 4510 </td> <td> 75/F </td> <td> Infectious Diseases </td> <td> Septicemia </td> <td> Surgical operation of Colon </td> <td> Blood </td> <td> 6 </td> <td> No </td> <td> vancomycin (14) </td> <td> Death not related to staphylococcal infection </td> </tr> </tbody> </table> </body> </html>
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<td> Definite/probable(N = 9) </td> <td> Possible(N = 2) </td> <td> Definite/probable(N = 11) </td> <td> Possible(N = 16) </td> </tr> <tr> <td> Hemoglobin135 – 175 g/L </td> <td> 120(112–133) </td> <td> 114.5(113–116) </td> <td> 123.7 (96–180) </td> <td> 124 (93–161) </td> </tr> <tr> <td> White blood cell count4–11 × 10 <sup> 9 </sup> /L </td> <td> 10(6.4–18) </td> <td> 9.7(9.6–9.8) </td> <td> 8.7 (4.3–14.5) </td> <td> 8.26 (3.8 – 14) </td> </tr> <tr> <td> Eosinophilia>= 0.1 × 10 <sup> 3 </sup> /L </td> <td> 2(0.1–7) </td> <td> 1.95(0.3–3.6) </td> <td> 1.8 (0 .1–6) </td> <td> 1.5 (0 .1 – 4.7) </td> </tr> <tr> <td> ESR0–20 mm/hr </td> <td> 28.5(10 – 47) </td> <td> 30.5(28–33) </td> <td> 32.6 (18–47) </td> <td> 23 (11–35) </td> </tr> <tr> <td> AST<40 U/L </td> <td> 30.4 (14–49) </td> <td> 25.5(22–29) </td> <td> 32 (12–59) </td> <td> 63 (14 – 432) </td> </tr> <tr> <td> Alkaline Phosphatase30–130 u/L </td> <td> 122.3(48 – 231) </td> <td> 137(123–152) </td> <td> 141 (62 – 461) </td> <td> 168 (41 – 892) </td> </tr> <tr> <td> Total Bilirubin3.4–17.1 umol/l </td> <td> 11(4–27) </td> <td> 4.5(2–7) </td> <td> 15.7 (4–32) </td> <td> 24.4 (3.3 – 98) </td> </tr> <tr> <td> ELISA(positives/ number tested) </td> <td> 3/7 </td> <td> 0/2 </td> <td> 3/5 </td> <td> 0/5 </td> </tr> </tbody> </table> </body> </html>
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charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Characteristic </b> </td> <td> <b> Positive cultures (n = 51) </b> </td> <td> <b> Negative cultures (n = 1681) </b> </td> <td> <b> Total (n = 1732) </b> </td> <td> <b> P-value* </b> </td> </tr> </thead> <tbody> <tr> <td> Mean age ± standard deviation (years) </td> <td> 49.6 ± 21.1 </td> <td> 40.1 ± 22.6 </td> <td> 40.3 ± 22.6 </td> <td> < 0.01 </td> </tr> <tr> <td> Male gender </td> <td> 30 (59%) </td> <td> 829 (49%) </td> <td> 859 (50%) </td> <td> 0.2 </td> </tr> <tr> <td> Collection at high volume (main) lab vs. other sites </td> <td> 16 (31%) </td> <td> 236 (14%) </td> <td> 252 (15%) </td> <td> < 0.01 </td> </tr> <tr> <td> Acute care usage within two weeks of culture </td> <td> 35 (69%) </td> <td> 296 (18%) </td> <td> 331 (19%) </td> <td> < 0.0001 </td> </tr> <tr> <td> Emergency department </td> <td> 9 (18%) </td> <td> 147 (9%) </td> <td> 156 (9%) </td> <td> 0.04 </td> </tr> <tr> <td> HPTP clinic </td> <td> 2 (4%) </td> <td> 15 (1%) </td> <td> 17 (1%) </td> <td> 0.08 </td> </tr> <tr> <td> Admitted to hospital </td> <td> 24 (47%) </td> <td> 134 (8%) </td> <td> 158 (9%) </td> <td> < 0.0001 </td> </tr> <tr> <td> Median days of acute care therapy </td> <td> 6 (IQR = 2, 14; n = 35) </td> <td> 2 (IQR = 1, 6; n = 296) </td> <td> 2 (IQR = 1, 6; n = 331) </td> <td> < 0.001 </td> </tr> <tr> <td> Median time (days) to acute care assessment </td> <td> 2 (IQR = 1, 2; n = 35) </td> <td> 3 (IQR = 2, 5; n = 296) </td> <td> 2 (IQR = 1, 5; n = 331) </td> <td> < 0.01 </td> </tr> </tbody> </table> </body> </html>
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</tr> <tr> <td> Soft tissue </td> <td> 1 (3) </td> <td> 35 (11) </td> <td> 31 (10%) </td> <td> 0.1 </td> </tr> <tr> <td> Bone/joint </td> <td> 1 (3) </td> <td> 11 (4) </td> <td> 12 (4%) </td> <td> 1.0 </td> </tr> <tr> <td> Respiratory </td> <td> 5 (14) </td> <td> 55 (20) </td> <td> 60 (19%) </td> <td> 0.6 </td> </tr> <tr> <td> Gastrointestinal </td> <td> 4 (11) </td> <td> 38 (13) </td> <td> 40 (13%) </td> <td> 1.0 </td> </tr> <tr> <td> Genitourinary </td> <td> 9 (26) </td> <td> 26 (9) </td> <td> 33 (11%) </td> <td> < 0.01 </td> </tr> <tr> <td> Vascular </td> <td> 4 (11) </td> <td> 5 (2) </td> <td> 9 (3%) </td> <td> < 0.01 </td> </tr> <tr> <td> Central nervous system </td> <td> 1 (3) </td> <td> 1 </td> <td> 2 (1%) </td> <td> 0.2 </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Location </b> </td> <td> <b> Time Period </b> </td> <td> <b> No. of Cases </b> </td> <td> <b> Prevalence of PS38 </b> </td> <td> <b> Antibiotic Susceptibility </b> </td> <td> <b> Patient Age Group </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Cairo, Egypt [29] </b> </td> <td> Late 1970s </td> <td> 3 </td> <td> 2.3% </td> <td> NP </td> <td> Infants, Children, adults </td> </tr> <tr> <td> <b> South Africa [27] </b> </td> <td> 1979–1986 </td> <td> 2 </td> <td> 0.2% </td> <td> Pan-sensitive </td> <td> NP </td> </tr> <tr> <td> <b> São Paulo, Brazil [30] </b> </td> <td> 1977–1988 </td> <td> 13 </td> <td> 1.3% </td> <td> NP </td> <td> Children, adults, elderly </td> </tr> <tr> <td> <b> Southern India [31] </b> </td> <td> 1992–1993 </td> <td> 1 </td> <td> 5.6% </td> <td> NP </td> <td> Children </td> </tr> <tr> <td> <b> Netherlands [28] </b> </td> <td> 1994 </td> <td> 3 </td> <td> 2.0% </td> <td> Penicillin-susceptible </td> <td> NP </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Strains </b> </td> <td> <b> SC glucose </b> </td> <td> <b> SC galactose </b> </td> </tr> </thead> <tbody> <tr> <td> <b> YPH499 </b> </td> <td> 2.18 </td> <td> 3.11 </td> </tr> <tr> <td> <b> YL09-00 </b> </td> <td> 2.11 </td> <td> 2.99 </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> 2.20 </td> <td> 3.85 </td> </tr> <tr> <td> <b> YPH499 </b> </td> <td> 2.62 </td> <td> 3.75 </td> </tr> <tr> <td> <b> YL10-04 </b> </td> <td> 7.70 </td> <td> 139 </td> </tr> <tr> <td> <b> YL10-05 </b> </td> <td> 5.64 </td> <td> 49.5 </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> 2.22 </td> <td> 3.55 </td> </tr> <tr> <td> <b> YPH500 </b> </td> <td> 2.27 </td> <td> 5.54 </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> 2.95 </td> <td> 63.0 </td> </tr> <tr> <td> <b> YPH499 </b> </td> <td> 1.90 </td> <td> 3.25 </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> 2.96 </td> <td> 105 </td> </tr> <tr> <td> <b> YL10-02 </b> </td> <td> 2.75 </td> <td> 431 </td> </tr> <tr> <td> <b> YL10-03 </b> </td> <td> 1.83 </td> <td> 3.17 </td> </tr> <tr> <td> <b> YL03-47 </b> </td> <td> 2.27 </td> <td> 3.25 </td> </tr> </tbody> </table> </body> </html>
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<b> IV </b> </td> <td> <b> V </b> </td> </tr> </thead> <tbody> <tr> <td> Symptom </td> <td> OR (CI) by Models adjusted for sex and age </td> <td> OR (CI) by Models adjusted for sex, age, alcohol, pain tablets, GI-tablets </td> <td> FACTOR </td> <td> OR (CI) by Models adjusted for sex and age </td> <td> OR (CI) by a main effect model adjusted for sex and age </td> </tr> <tr> <td> <b> SSF </b> (all variables) </td> <td> 1 (Reference) </td> <td> 1 (Reference) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <b> FGID </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Cries easily </td> <td> 6.7 (2.3–19.9) </td> <td> 9.8 (2.0–47) </td> <td> A </td> <td> 8.0 (4.1–15.8) <sup> 1) Psychological illness </sup> </td> <td> 8.4 (4.0–17.5) <sup> 1) Psychological illness </sup> </td> </tr> <tr> <td> Sleeping disturbance </td> <td> 6.2 (2.7–14.0) </td> <td> 3.2 (1.3–8) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> General fatigue </td> <td> 14.5 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(5.3–300) </td> <td> </td> <td> B </td> <td> 3.7 (2.0–7.1) <sup> 1) Somaticillness </sup> </td> <td> 2.8 (1.3–5.7) <sup> 1) Somaticillness </sup> </td> </tr> <tr> <td> Pain in the joints </td> <td> 6.2 (2.8–13.6) </td> <td> 7.5 (2.6–21) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Pain in the legs </td> <td> 4.4 (2.2–8.9) </td> <td> 3.8 (1.6–9.3) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Overweight </td> <td> 2.0 (1.0–4.0) </td> <td> 1.4 (0.6–3.6) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Breathlessness </td> <td> 8.9 (3.2–25) </td> <td> 12.1 (3.3–45) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Dizziness </td> <td> 10.1 (4.2–24) </td> <td> 11.4 (3.8–34) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Impaired hearing </td> <td> 3.0 (1.3–6.8) </td> <td> 3.1 (1.0–9.5) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Eye problem </td> <td> 4.2 (1.9–9.1) </td> <td> 3.4 (1.3–9.0) </td> <td> B </td> <td> </td> <td> </td> 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</td> </tr> <tr> <td> Upper arms </td> <td> 10 </td> <td> 8.85 </td> </tr> <tr> <td> Legs </td> <td> 13 </td> <td> 11.50 </td> </tr> <tr> <td> Genitals </td> <td> 24 </td> <td> 21.24 </td> </tr> <tr> <td> Lymphangitis in </td> <td> </td> <td> </td> </tr> <tr> <td> Left inguinal region </td> <td> 34 </td> <td> 30.09 </td> </tr> <tr> <td> Right inguinal region </td> <td> 38 </td> <td> 33.63 </td> </tr> <tr> <td> Left papillary </td> <td> 3 </td> <td> 2.65 </td> </tr> <tr> <td> Right papillary </td> <td> 3 </td> <td> 2.65 </td> </tr> <tr> <td> Swelling </td> <td> 92 </td> <td> 81.42 </td> </tr> <tr> <td> Fever </td> <td> </td> <td> </td> </tr> <tr> <td> High </td> <td> 61 </td> <td> 53.98 </td> </tr> <tr> <td> Low </td> <td> 27 </td> <td> 23.89 </td> </tr> <tr> <td> Anorexia </td> <td> 72 </td> <td> 63.72 </td> </tr> <tr> <td> Nausea </td> <td> 61 </td> <td> 53.98 </td> </tr> <tr> <td> Vomiting </td> <td> 32 </td> <td> 28.32 </td> </tr> <tr> <td> Microfilaraemiae </td> <td> 13 </td> <td> 11.50 <sup> a </sup> </td> </tr> </tbody> </table> </body> </html>
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</td> </tr> <tr> <td> Tertiary </td> <td> 1 </td> <td> 1 </td> <td> 2 </td> </tr> <tr> <td> Marital status </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Single never married </td> <td> 7 </td> <td> 7 </td> <td> 4 </td> </tr> <tr> <td> Married </td> <td> 1 </td> <td> 2 </td> <td> 1 </td> </tr> <tr> <td> Divorced/Separated </td> <td> 1 </td> <td> 2 </td> <td> 1 </td> </tr> <tr> <td> Widowed </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> Employment Status </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Employed </td> <td> 3 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> Unemployed </td> <td> 5 </td> <td> 11 </td> <td> 4 </td> </tr> <tr> <td> Student </td> <td> 1 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> Homemaker </td> <td> 0 </td> <td> 0 </td> <td> 2 </td> </tr> <tr> <td> Main Source of Income </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Government Payment </td> <td> 8 </td> <td> 11 </td> <td> 6 </td> </tr> <tr> <td> Private </td> <td> 1 </td> <td> 0 </td> <td> 1 </td> </tr> <tr> <td> Primary Diagnostic Profile </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Schizophrenia – various types </td> <td> 4 </td> <td> 7 </td> <td> 5 </td> </tr> <tr> <td> Borderline Personality Disorder </td> <td> 4 </td> <td> 1 </td> <td> 0 </td> </tr> <tr> <td> Depression </td> <td> 1 </td> <td> 1 </td> <td> 1 </td> </tr> <tr> <td> Bipolar Affective Disorder </td> <td> 0 </td> <td> 2 </td> <td> 1 </td> </tr> <tr> <td> Mean age of onset for primary diagnosis </td> <td> 25(SD = 12.5) </td> <td> 25(SD = 11.2) </td> <td> 25 (SD= 7.9) </td> </tr> <tr> <td> Dual Diagnosis (co-occurrence substance misuse) </td> <td> 7 </td> <td> 5 </td> <td> 1 </td> </tr> <tr> <td> Mean number years with Tx service </td> <td> 5 (SD= 3.4) </td> <td> 8 (SD= 3.2) </td> <td> 8 (SD= 2.6) </td> </tr> <tr> <td> Persons subject to involuntary mental health order at time of study </td> <td> 0 </td> <td> 1 </td> <td> 3 </td> </tr> <tr> <td> Mean number recorded contacts with CM over 12 months </td> <td> 29 (SD = 7) n = 5 </td> <td> 21 (SD7.5) n = 7 </td> <td> 33 (9) n = 5 </td> </tr> <tr> <td> Mean time in hours of contacts </td> <td> 17.5(SD= 6.5) </td> <td> 13(SD = 6.3) </td> <td> 14.6(SD = 3.2) </td> </tr> </tbody> </table> </body> </html>
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</td> <td colspan="2"> <b> Online HDF </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Company </b> </td> <td> Gambro </td> <td> Fresenius </td> <td> Gambro </td> <td> Fresenius </td> </tr> <tr> <td> <b> Dialyser </b> </td> <td> Polyflux 17L </td> <td> F8HPS </td> <td> Polyflux 170H </td> <td> FX80 </td> </tr> <tr> <td> <b> Membrane material </b> </td> <td> polyamide </td> <td> polysulfone </td> <td> polyamide </td> <td> polysulfone (helixone) </td> </tr> <tr> <td> <b> Sterilisation method </b> </td> <td> heat </td> <td> heat </td> <td> heat </td> <td> heat </td> </tr> <tr> <td> <b> Surface area (m <sup> 2 </sup> ) </b> </td> <td> 1.7 </td> <td> 1.8 </td> <td> 1.7 </td> <td> 1.8 </td> </tr> <tr> <td> <b> Membrane thickness (μm) </b> </td> <td> 50 </td> <td> 40 </td> <td> 50 </td> <td> 35 </td> </tr> <tr> <td> <b> UF coefficient (ml/mmHg/h) </b> </td> <td> 13 </td> <td> 18 </td> <td> 65 </td> <td> 59 </td> </tr> <tr> <td> <b> In vitro clearance: </b> <sup> # </sup> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <b> Urea </b> </td> <td> 260 </td> <td> 251 </td> <td> 268 </td> <td> 276 </td> </tr> <tr> <td> <b> Phosphate </b> </td> <td> 198 </td> <td> 193 </td> <td> 229 </td> <td> 239 </td> </tr> <tr> <td> <b> Vit B12 </b> </td> <td> 111 </td> <td> 118 </td> <td> 158 </td> <td> 175 </td> </tr> </tbody> </table> </body> </html>
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<td> 40 + 12.5 </td> <td> 0.18 </td> </tr> <tr> <td> <b> Sex (No.), % </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Male </td> <td> (14), 70 </td> <td> (10), 50 </td> <td> 0.19 </td> </tr> <tr> <td> Female </td> <td> (6), 30 </td> <td> (10), 50 </td> <td> </td> </tr> <tr> <td> <b> Education </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Illiterate </td> <td> (2), 10 </td> <td> (6), 30 </td> <td> 0.27 </td> </tr> <tr> <td> Primary or secondary school </td> <td> (6), 30 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> Diploma or higher </td> <td> (12), 60 </td> <td> (10), 50 </td> <td> </td> </tr> <tr> <td> <b> Marital status </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Single </td> <td> (2), 10 </td> <td> (2), 10 </td> <td> 0.38 </td> </tr> <tr> <td> Married </td> <td> (16), 80 </td> <td> (17), 85 </td> <td> </td> </tr> <tr> <td> Divorced </td> <td> (2), 10 </td> <td> (1), 5 </td> <td> </td> </tr> <tr> <td> <b> No. of Children </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Less than or equal to 3 </td> <td> (14), 70 </td> <td> (11), 55 </td> <td> 0.32 </td> </tr> <tr> <td> More than 3 </td> <td> (6), 30 </td> <td> (9), 45 </td> <td> </td> </tr> <tr> <td> <b> Occupation </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Laborer </td> <td> (6), 30 </td> <td> (8), 40 </td> <td> 0.32 </td> </tr> <tr> <td> Employee </td> <td> (4), 20 </td> <td> (6), 30 </td> <td> </td> </tr> <tr> <td> Housewife </td> <td> (4), 20 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> Student </td> <td> (2), 10 </td> <td> (2), 10 </td> <td> </td> </tr> <tr> <td> Retired </td> <td> (4), 20 </td> <td> - </td> <td> </td> </tr> <tr> <td> <b> Duration of illness (Years) </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 1–3 </td> <td> (12), 60 </td> <td> (14), 70 </td> <td> 0.32 </td> </tr> <tr> <td> 3–6 </td> <td> (6), 30 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> More than 6 </td> <td> (2), 10 </td> <td> (2), 10 </td> <td> </td> </tr> <tr> <td> <b> No. of hospitalizations </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> None </td> <td> (12), 60 </td> <td> (8), 40 </td> <td> 0.41 </td> </tr> <tr> <td> 1 </td> <td> (2), 10 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> 3 </td> <td> (6), 30 </td> <td> (8), 40 </td> <td> </td> </tr> <tr> <td> <b> Etiologic factor </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Hepatitis B </td> <td> (10), 50 </td> <td> (9), 45 </td> <td> 0.83 </td> </tr> <tr> <td> Hepatitis C </td> <td> (2), 15 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> Autoimmune disease </td> <td> (4), 20 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> Cryptogenic </td> <td> (4), 20 </td> <td> (4), 20 </td> <td> </td> </tr> <tr> <td> <b> Child of cirrhosis </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> A </td> <td> (4), 20 </td> <td> (4), 20 </td> <td> 0.77 </td> </tr> <tr> <td> B </td> <td> (8), 40 </td> <td> (10), 50 </td> <td> </td> </tr> <tr> <td> C </td> <td> (8), 40 </td> <td> (6), 30 </td> <td> </td> </tr> </tbody> </table> </body> </html>
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clearance by day 7, fever clearance time, adverse events </td> </tr> <tr> <td> [25] </td> <td> 77 children aged 2 to 15 years in Niger </td> <td> (1) Intrarectal (11.8 mg/kg once then 8.8 mg/kg 8 hourly for 2 days; Quinimax <sup> ® </sup> solution diluted in water via a syringe)(2) Intravenous (4.7 mg/kg 8 hourly for 2 days) </td> <td> Death, parasite clearance time, fever clearance time, days in hospital, coma recovery time, time until drinking began, adverse events </td> </tr> <tr> <td> [26] </td> <td> 48 children aged 2 to 15 years in Burkina Faso </td> <td> (1) Intrarectal (bichlorhydrate diluted in a syringe)(2) Intrarectal (cinchona alkaloid diluted in a syringe)(3) Intravenous (bichlorhydrate)(4) Intravenous (cinchona alkaloid)All 8 mg/kg quinine 8 hourly for 2 days </td> <td> Parasite clearance by 48 hours and 7 days </td> </tr> <tr> <td> [27] </td> <td> 15 children aged 2 to 14 years in Niger </td> <td> (1) Intravenous (4.74 mg/kg)(2) Intramuscular (4.74 mg/kg)(3) Intrarectal (11.85 mg/kg)All single dose </td> <td> Death, parasite clearance by day 7, adverse events </td> </tr> <tr> <td> [28] </td> <td> 64 children aged 0 to 15 years in Togo </td> <td> (1) Intrarectal (15 mg/kg: Quinimax <sup> ® </sup> solution diluted in a syringe)(2) Intramuscular (12.5 mg/kg) Both 12 hourly for 3 days </td> <td> Death, parasite clearance by day 2, adverse events </td> </tr> <tr> <td> [29] </td> <td> 58 children aged 2 to 15 years in Niger </td> <td> (1) Intrarectal (17.9 mg/kg once, then 11.75 mg/kg 12 hourly; Quinimax <sup> ® </sup> diluted in a syringe(2) Intramuscular (7.5 mg/kg 12 hourly) </td> <td> Death, fever clearance time, duration of hospitalization, coma recovery time </td> </tr> <tr> <td> [30] </td> <td> 898 children aged 1 to 15 in Burkina Faso </td> <td> (1) Intrarectal (20 mg/kg; Quinimax <sup> ® </sup> diluted in a syringe)(2) Intramuscular (12.5 mg/kg) Both 12 hourly for 3 days </td> <td> Death, fever clearance time, adverse events </td> </tr> </tbody> 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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> NSCLC cell line </b> </td> <td> <b> Cisplatin IC <sub> 50 </sub> (μM) </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Group 1 <sup> <i> b </i> </sup> </b> </td> <td> NCI-H460 </td> <td> 0.52 ± 0.04 </td> </tr> <tr> <td> </td> <td> NCI-H1155 </td> <td> 0.90 ± 0.20 </td> </tr> <tr> <td> </td> <td> NCI-H23 </td> <td> 2.09 ± 0.32 </td> </tr> <tr> <td> </td> <td> NCI-H838 </td> <td> 3.86 ± 0.31 </td> </tr> <tr> <td> </td> <td> NCI-H1334 </td> <td> 5.15 ± 0.47 </td> </tr> <tr> <td> </td> <td> NCI-H1437 </td> <td> 5.90 ± 1.61 </td> </tr> <tr> <td> </td> <td> NCI-H1355 </td> <td> 6.74 ± 1.29 </td> </tr> <tr> <td> </td> <td> NCI-H1435 </td> <td> 22.86 ± 2.36 </td> </tr> <tr> <td> <b> Group 2 <sup> <i> c </i> </sup> </b> </td> <td> NCI-H358 </td> <td> 1.16 ± 0.24 </td> </tr> <tr> <td> </td> <td> NCI-H322 </td> <td> 2.85 ± 0.22 </td> </tr> <tr> <td> </td> <td> NCI-H441 </td> <td> 3.38 ± 0.99 </td> </tr> <tr> <td> </td> <td> NCI-H522 </td> <td> 3.53 ± 0.56 </td> </tr> <tr> <td> </td> <td> NCI-H226 </td> <td> 5.05 ± 0.95 </td> </tr> <tr> <td> </td> <td> NCI-H647 </td> <td> 7.27 ± 1.14 </td> </tr> </tbody> </table> </body> </html>
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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Plasma vitamin concentrations (μMol/L) </b> </td> <td> </td> <td> <b> FEV1 (ml) Estimate (SD) </b> </td> <td> <b> p-value </b> </td> <td> <b> FVC (ml) Estimate (SD) </b> </td> <td> <b> p-value </b> </td> </tr> </thead> <tbody> <tr> <td> Retinol </td> <td> Level </td> <td> 13.9 (7.5) </td> <td> 0.06 </td> <td> 16.6 (9.5) </td> <td> 0.08 </td> </tr> <tr> <td> </td> <td> Change </td> <td> 3.5 (1.5) </td> <td> 0.02 </td> <td> 5.7 (1.9) </td> <td> 0.00 </td> </tr> <tr> <td> Carotene </td> <td> Level </td> <td> 14.6 (3.6) </td> <td> 0.00 </td> <td> 13.1 (4.5) </td> <td> 0.00 </td> </tr> <tr> <td> </td> <td> Change </td> <td> -2.6 (1.0) </td> <td> 0.01 </td> <td> -3.5 (1.3) </td> <td> 0.01 </td> </tr> <tr> <td> Vitamin E </td> <td> Level </td> <td> -1.0 (0.4) </td> <td> 0.01 </td> <td> -2.0 (0.5) </td> <td> <0.01 </td> </tr> <tr> <td> </td> <td> Change </td> <td> 0.07 (0.09) </td> <td> 0.38 </td> <td> 0.2 (0.1) </td> <td> 0.13 </td> </tr> </tbody> </table> </body> </html>

train

502,450

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Characteristic </b> </td> <td> <b> Value </b> </td> </tr> </thead> <tbody> <tr> <td> Number of patients </td> <td> 225 </td> </tr> <tr> <td> Age, years (median (range)) </td> <td> 56 (29–88) </td> </tr> <tr> <td> Time to relapse, months (median (range)) <sup> a </sup> </td> <td> 25 (0–179) </td> </tr> <tr> <td> Alive without disease </td> <td> 123 </td> </tr> <tr> <td> Relapse </td> <td> 23 </td> </tr> <tr> <td> Disease status unknown </td> <td> 3 </td> </tr> <tr> <td> Alive (censored) </td> <td> 136 </td> </tr> <tr> <td> Death </td> <td> 89 </td> </tr> <tr> <td> By tumor </td> <td> 68 </td> </tr> <tr> <td> By unknown causes </td> <td> 8 </td> </tr> <tr> <td> Not tumor-related (censored) </td> <td> 13 </td> </tr> </tbody> </table> </body> </html>

train

319,805

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td colspan="3"> <b> Acetylator phenotype </b> </td> <td> <b> Haplotype </b> </td> <td> <b> References </b> </td> </tr> </thead> <tbody> <tr> <td> Status </td> <td> No. </td> <td> % </td> <td> </td> <td> </td> </tr> <tr> <td> Fast </td> <td> 24 </td> <td> 4.8 </td> <td> NAT2*4/NAT2*4 </td> <td> 31–34 </td> </tr> <tr> <td> Intermediate </td> <td> 158 </td> <td> 31.5 </td> <td> All intermediate </td> <td> 14 </td> </tr> <tr> <td> </td> <td> 148 </td> <td> 93.7 </td> <td> NAT2*4/- </td> <td> 35 </td> </tr> <tr> <td> </td> <td> 10 </td> <td> 6.3 </td> <td> NAT2*12a/- </td> <td> </td> </tr> <tr> <td> Slow </td> <td> 320 </td> <td> 63.7 </td> <td> All slow </td> <td> 14,33,36 </td> </tr> <tr> <td> </td> <td> 81 </td> <td> 24.6 </td> <td> NAT2*5b/NAT2*5b </td> <td> </td> </tr> <tr> <td> </td> <td> 139 </td> <td> 43.4 </td> <td> NAT2*5b/NAT2*6a </td> <td> </td> </tr> <tr> <td> </td> <td> 37 </td> <td> 11.2 </td> <td> NAT2*5b/- </td> <td> 14,31–33,36 </td> </tr> <tr> <td> </td> <td> 43 </td> <td> 13.1 </td> <td> NAT2*6a/NAT2*6a </td> <td> </td> </tr> <tr> <td> </td> <td> 18 </td> <td> 6.1 </td> <td> NAT2*6a/- </td> <td> 14,36,37 </td> </tr> <tr> <td> </td> <td> 2 </td> <td> 3.3 </td> <td> NAT2*5c/- </td> <td> </td> </tr> </tbody> </table> </body> </html>

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="2"> <b> NAT2 </b> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> <b> Fast </b> </td> <td> <b> Slow </b> </td> <td> </td> <td> </td> </tr> <tr> <td> <b> Characteristic </b> </td> <td> <b> No. (%) </b> </td> <td> <b> No. (%) </b> </td> <td> <b> OR </b> </td> <td> <b> 95% CI </b> </td> </tr> </thead> <tbody> <tr> <td> Age (years) </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <50 <sup> a </sup> </td> <td> 22 (12) </td> <td> 38 (12) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> 50 to 59 </td> <td> 15 (8) </td> <td> 28 (9) </td> <td> 1.1 </td> <td> 0.5 to 2.4 </td> </tr> <tr> <td> 60 to 69 </td> <td> 59 (32) </td> <td> 103 (32) </td> <td> 1.0 </td> <td> 0.5 to 1.9 </td> </tr> <tr> <td> 70+ </td> <td> 86 (47) </td> <td> 151 (47) </td> <td> 1.0 </td> <td> 0.6 to 1.8 </td> </tr> <tr> <td> Alcohol use </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Nondrinker <sup> a </sup> </td> <td> 45 (14) </td> <td> 32 (18) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> ≤ 1 drink/month </td> <td> 75 (23) </td> <td> 43 (24) </td> <td> 1.2 </td> <td> 0.7 to 2.2 </td> </tr> <tr> <td> Few drinks/month </td> <td> 77 (24) </td> <td> 39 (21) </td> <td> 1.4 </td> <td> 0.8 to 2.5 </td> </tr> <tr> <td> Few drinks/week </td> <td> 76 (24) </td> <td> 39 (21) </td> <td> 1.4 </td> <td> 0.8 to 2.5 </td> </tr> <tr> <td> Almost every day </td> <td> 40 (12) </td> <td> 24 (13) </td> <td> 1.2 </td> <td> 0.6 to 2.3 </td> </tr> <tr> <td> Unknown </td> <td> 7 (2) </td> <td> 5 (3) </td> <td> 1.0 </td> <td> 0.3 to 3.4 </td> </tr> <tr> <td> Body mass index (BMI) (kg/m <sup> 2 </sup> ) </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <20.0 <sup> a </sup> </td> <td> 30 (17) </td> <td> 59 (19) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> 20.0 to 24.9 </td> <td> 114 (65) </td> <td> 196 (62) </td> <td> 0.9 </td> <td> 0.5 to 1.4 </td> </tr> <tr> <td> 25.0 to 29.9 </td> <td> 24 (14) </td> <td> 50 (16) </td> <td> 1.1 </td> <td> 0.5 to 2.0 </td> </tr> <tr> <td> 30.0+ </td> <td> 8 (4) </td> <td> 11 (3) </td> <td> 0.7 </td> <td> 0.3 to 1.9 </td> </tr> <tr> <td colspan="5"> First-degree family history of breast cancer <sup> b </sup> </td> </tr> <tr> <td> No <sup> a </sup> </td> <td> 140 (78) </td> <td> 240 (77) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Yes </td> <td> 39 (22) </td> <td> 72 (23) </td> <td> 1.1 </td> <td> 0.7 to 1.7 </td> </tr> <tr> <td> Parity </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Nulliparous <sup> a </sup> </td> <td> 72 (23) </td> <td> 27 (15) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> 1 live birth </td> <td> 22 (7) </td> <td> 22 (12) </td> <td> 0.4 </td> <td> 0.2 to 0.8 </td> </tr> <tr> <td> 2 live births </td> <td> 56 (17) </td> <td> 43 (24) </td> <td> 0.5 </td> <td> 0.3 to 0.9 </td> </tr> <tr> <td> 3 live births </td> <td> 70 (22) </td> <td> 48 (25) </td> <td> 0.5 </td> <td> 0.3 to 1.0 </td> </tr> <tr> <td> 4 live births </td> <td> 46 (14) </td> <td> 21 (12) </td> <td> 0.8 </td> <td> 0.4 to 1.6 </td> </tr> <tr> <td> 5 or more live births </td> <td> 54 (17) </td> <td> 21 (12) </td> <td> 1.0 </td> <td> 0.5 to 1.9 </td> </tr> <tr> <td> Geographical location </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Cape Cod, Massachusetts <sup> a </sup> </td> <td> 91 (50) </td> <td> 178 (56) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Los Angeles, California </td> <td> 27 (15) </td> <td> 33 (10) </td> <td> 0.6 </td> <td> 0.3 to 1.1 </td> </tr> <tr> <td> Rhode Island </td> <td> 17 (9) </td> <td> 38 (12) </td> <td> 1.1 </td> <td> 0.6 to 2.1 </td> </tr> <tr> <td> Minnesota </td> <td> 28 (15) </td> <td> 34 (11) </td> <td> 0.6 </td> <td> 0.3 to 1.1 </td> </tr> <tr> <td> North Carolina </td> <td> 19 (10) </td> <td> 37 (12) </td> <td> 1.0 </td> <td> 0.5 to 1.8 </td> </tr> <tr> <td colspan="5"> History of benign breast disease </td> </tr> <tr> <td> No <sup> a </sup> </td> <td> 116 (65) </td> <td> 206 (65) </td> <td> 1.0 </td> <td> - </td> </tr> <tr> <td> Yes </td> <td> 63 (35) </td> <td> 110 (35) </td> <td> 1.0 </td> <td> 0.7 to 1.4 </td> </tr> </tbody> </table> </body> </html>

train

424,488

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Rat group </b> </td> <td> <b> Mean initial weight </b> </td> <td> <b> Mean end weight </b> </td> </tr> </thead> <tbody> <tr> <td> Control group ( <i> n </i> = 10) </td> <td> 143 ± 4 g </td> <td> 422 ± 24 g </td> </tr> <tr> <td> Supplemented group ( <i> n </i> = 10) </td> <td> 148 ± 5 g </td> <td> 415 ± 37 g </td> </tr> </tbody> </table> </body> </html>

train

516,407

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Genotype </b> </td> <td> <b> Tamoxifen therapy </b> </td> <td> <b> Number of patients <sup> a </sup> </b> </td> <td> <b> Number of recurrences </b> </td> <td> <b> Recurrence rate ratio (95% confidence interval) </b> </td> <td> <b> <i> P </i> value </b> </td> </tr> </thead> <tbody> <tr> <td> <i> SULT1A1*1/* </i> 1 <sup> † </sup> </td> <td> Tam- </td> <td> 29 </td> <td> 16 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 26 </td> <td> 9 </td> <td> 0.48 (0.21 – 1.12) </td> <td> 0.074 </td> </tr> <tr> <td> <i> SULT1A1* </i> 2 <sup> † </sup> </td> <td> Tam- </td> <td> 49 </td> <td> 26 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 50 </td> <td> 24 </td> <td> 0.82 (0.47 – 1.43) </td> <td> 0.48 </td> </tr> <tr> <td> <i> CYP2D6*1/*1 </i> <sup> ‡ </sup> </td> <td> Tam- </td> <td> 55 </td> <td> 27 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 52 </td> <td> 25 </td> <td> 0.91 (0.53– 1.57) </td> <td> 0.75 </td> </tr> <tr> <td> <i> CYP2D6*4 </i> <sup> ‡ </sup> </td> <td> Tam- </td> <td> 23 </td> <td> 15 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 24 </td> <td> 6 </td> <td> 0.28 (0.11 – 0.74) </td> <td> 0.0089 </td> </tr> <tr> <td> <i> SULT1A1*1/*1 </i> and/or <i> CYP2D6*4 </i> <sup> § </sup> </td> <td> Tam- </td> <td> 45 </td> <td> 27 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 43 </td> <td> 15 </td> <td> 0.38 (0.19– 0.74) </td> <td> 0.0041 </td> </tr> <tr> <td> <i> SULT1A1*2 </i> and <i> CYP2D6*1/*1 </i> <sup> § </sup> </td> <td> Tam- </td> <td> 33 </td> <td> 18 </td> <td> 1.0 </td> <td> </td> </tr> <tr> <td> </td> <td> Tam+ </td> <td> 33 </td> <td> 15 </td> <td> 1.22 (0.61– 2.40) </td> <td> 0.57 </td> </tr> </tbody> </table> </body> </html>

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="5"> <b> Average childhood figure (ages 5–10 years) </b> </td> <td> <b> <i> P </i> for trend <sup> d </sup> </b> </td> </tr> <tr> <td> </td> <td> <b> 1 </b> </td> <td> <b> 1.5–2 </b> </td> <td> <b> 2.5–3 </b> </td> <td> <b> 3.5–4.5 </b> </td> <td> <b> ≥ 5 </b> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Multivariate RR (95% CI) <sup> a </sup> </td> <td> 1.00 </td> <td> 0.93 (0.79–1.08) </td> <td> 0.90 (0.76–1.06) </td> <td> 0.81 (0.68–0.96) </td> <td> 0.48 (0.35–0.65) </td> <td> <0.0001 </td> </tr> <tr> <td colspan="7"> Multivariate RR + later BMI <sup> b </sup> </td> </tr> <tr> <td> BMI at age 18 years </td> <td> 1.00 </td> <td> 0.95 (0.81–1.11) </td> <td> 0.95 (0.80–1.12) </td> <td> 0.87 (0.72–1.05) </td> <td> 0.53 (0.38–0.73) </td> <td> 0.004 </td> </tr> <tr> <td> Current BMI </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.92 (0.78–1.08) </td> <td> 0.84 (0.70–1.01) </td> <td> 0.51 (0.37–0.69) </td> <td> 0.0003 </td> </tr> <tr> <td> Cumulatively averaged BMI </td> <td> 1.00 </td> <td> 0.94 (0.81–1.10) </td> <td> 0.93 (0.79–1.10) </td> <td> 0.86 (0.72–1.03) </td> <td> 0.52 (0.38–0.71) </td> <td> 0.001 </td> </tr> <tr> <td colspan="7"> Multivariate RR + age at menarche and menstrual cycle characteristics <sup> c </sup> </td> </tr> <tr> <td> Age at menarche </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.80 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> <tr> <td> Age at menarche, time until regular cycles </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.80 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> <tr> <td> Age at menarche, regularity/length of cycles, ages 18–22 years </td> <td> 1.00 </td> <td> 0.93 (0.80–1.09) </td> <td> 0.89 (0.76–1.05) </td> <td> 0.79 (0.67–0.95) </td> <td> 0.47 (0.34–0.64) </td> <td> <0.0001 </td> </tr> </tbody> </table> </body> </html>

train

509,257

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Treatment </b> </td> <td colspan="4"> <b> Change in mammographic density (%) </b> </td> </tr> <tr> <td> </td> <td> <b> Unadjusted mean ± SEM </b> </td> <td> <b> <i> P </i> </b> </td> <td> <b> Adjusted mean ± SEM* </b> </td> <td> <b> <i> P </i> </b> </td> </tr> </thead> <tbody> <tr> <td> EPAT </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 57) </td> <td> - 0.7 ± 0.8 </td> <td> Ref. </td> <td> - 0.9 ± 0.9 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 70) </td> <td> 3.4 ± 0.7 </td> <td> 0.003 </td> <td> 4.0 ± 0.8 </td> <td> 0.0001 </td> </tr> <tr> <td> WELL-HART </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 37) </td> <td> 0.8 ± 1.4 </td> <td> Ref. </td> <td> 0.06 ± 1.7 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 34) </td> <td> 4.8 ± 1.5 </td> <td> 0.06 </td> <td> 5.6 ± 1.5 </td> <td> 0.02 </td> </tr> <tr> <td> EPT ( <i> n </i> = 34) </td> <td> 7.8 ± 1.5 </td> <td> 0.001 </td> <td> 7.8 ± 1.6 </td> <td> 0.0005 </td> </tr> <tr> <td> <i> P </i> homogeneity of treatment effect between trials </td> <td> </td> <td> </td> <td> </td> <td> 0.76 </td> </tr> <tr> <td> All women </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Placebo ( <i> n </i> = 95) </td> <td> - 0.02 ± 0.8 </td> <td> Ref. </td> <td> 0.02 ± 0.8 </td> <td> Ref. </td> </tr> <tr> <td> ET ( <i> n </i> = 104) </td> <td> 3.9 ± 0.7 </td> <td> 0.0003 </td> <td> 4.6 ± 0.8 </td> <td> 0.0001 </td> </tr> <tr> <td> EPT ( <i> n </i> = 34) </td> <td> 7.8 ± 1.3 </td> <td> 0.0001 </td> <td> 7.2 ± 1.5 </td> <td> 0.0001 </td> </tr> </tbody> </table> </body> </html>

train

453,993

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Strain/Treatment </b> </td> <td> <b> Regio inferior </b> </td> <td> <b> Stratum oriens </b> </td> <td> <b> Stratum pyramidale </b> </td> <td> <b> Stratum radiatum </b> </td> <td> <b> Stratum lacunosum-moleculare </b> </td> <td> <b> Hilus </b> </td> <td> <b> Suprapyramidal Mossy Fibers </b> </td> </tr> </thead> <tbody> <tr> <td> <b> C57BL/6J </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 753.9 ± 0.4 </td> <td> 35.0 ± 0.05 </td> <td> 15.2 ± 0.6 </td> <td> 24.6 ± 0.1 </td> <td> 8.1 ± 0.4 </td> <td> 8.3 ± 0.9 </td> <td> 8.7 ± 0.1 </td> </tr> <tr> <td> Pair-fed </td> <td> 775.4 ± 24.3 </td> <td> 33.6 ± 0.8 </td> <td> 14.7 ± 0.4 </td> <td> 26.1 ± 0.4 </td> <td> 7.9 ± 0.2 </td> <td> 9.4 ± 0.2 </td> <td> 8.5 ± 0.2 </td> </tr> <tr> <td> Control </td> <td> 747.8 ± 30.6 </td> <td> 33.6 ± 0.5 </td> <td> 14.8 ± 0.2 </td> <td> 25.6 ± 0.6 </td> <td> 8.3 ± 0.4 </td> <td> 9.7 ± 0.3 </td> <td> 8.3 ± 0.2 </td> </tr> <tr> <td> <b> BALB/cJ </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 726.9 ± 18.5 </td> <td> 34.5 ± 0.6 </td> <td> 14.7 ± 0.2 </td> <td> 26.6 ± 0.2 </td> <td> 6.5 ± 0.2 </td> <td> 8.4 v 0.3 </td> <td> 9.3 ± 0.4 </td> </tr> <tr> <td> Pair-fed </td> <td> 742.9 ± 27.7 </td> <td> 33.6 ± 0.9 </td> <td> 15.2 ± 0.3 </td> <td> 26.1 ± 0.5 </td> <td> 7.2 ± 0.3 </td> <td> 7.9 ± 0.3 </td> <td> 9.6 ± 0.4 </td> </tr> <tr> <td> Control </td> <td> 690.3 ± 23.9 </td> <td> 34.3 ± 0.9 </td> <td> 14.3 v 0.3 </td> <td> 26.6 ± 0.2 </td> <td> 6.8 ± 0.2 </td> <td> 8.8 ± 0.3 </td> <td> 9.3 v 0.3 </td> </tr> <tr> <td> <b> DBA/2J </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethanol </td> <td> 638.0 ± 25.7 </td> <td> 34.1 ± 0.5 </td> <td> 15.0 ± 0.3 </td> <td> 26.3 ± 0.3 </td> <td> 6.6 ± 0.3 </td> <td> 8.2 ± 0.3 </td> <td> 9.7 ± 0.3 </td> </tr> <tr> <td> Pair-fed </td> <td> 649.9 ± 21.1 </td> <td> 32.7 ± 0.6 </td> <td> 15.3 ± 0.5 </td> <td> 27.0 ± 0.3 </td> <td> 6.0 ± 0.2 </td> <td> 8.9 ± 0.4 </td> <td> 10.0 ± 0.4 </td> </tr> <tr> <td> Control </td> <td> 699.6 ± 26.0 </td> <td> 33.5 ± 0.5 </td> <td> 15.2 ± 0.3 </td> <td> 27.1 ± 0.5 </td> <td> 6.4 ± 0.3 </td> <td> 8.5 ± 0.2 </td> <td> 9.4 ± 0.3 </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Pathogen </b> </td> <td> <b> Origin </b> </td> <td> <b> Trade-related interaction </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Salmonella </i> </td> <td> Described in the late 1880s in swine. Subsequently recognized in humans, poultry, cattle, rodents and exotic pets. </td> <td> Use of antimicrobials in livestock in response to heightened global competition has contributed to emergence of antimicrobial-resistant strains such as <i> S. typhimurium </i> DT104 and <i> S. </i> Newport-MDRAmpC. </td> </tr> <tr> <td> <i> Escherichia coli </i> O157:H7 </td> <td> Identified as a pathogenic agent in humans in 1982. Hosts include cows, deer, sheep, horses, pigs and dogs. </td> <td> Intensified production and far-reaching distribution channels in the meat industry enable widespread dissemination in vehicles such as ground beef. </td> </tr> <tr> <td> <i> Cyclospora cayetanensis </i> </td> <td> First documented cases observed in humans 1977. Only known host is humans. </td> <td> Hardy oocysts are transported on produce exported to geographic regions where the parasite previously had been largely unknown. </td> </tr> <tr> <td> <i> Listeria monocytogenes </i> </td> <td> Detected in 1926 in rabbits and guinea pigs, identified as a source of human infection in 1929 and perinatal contamination in 1936. </td> <td> Increased popularity on the global market of raw milk cheeses and ready-to-eat products contributed to surge in listeriosis. </td> </tr> </tbody> </table> </body> </html>

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Risk factor </b> </td> <td> <b> Deaths (thousands) </b> </td> <td> <b> As % of total deaths </b> </td> <td> <b> YLLs (thousands) </b> </td> <td> <b> As % of total YLLs </b> </td> <td> <b> YLDs (thousands) </b> </td> <td> <b> As % of total YLDs </b> </td> <td> <b> DALYs (thousands) </b> </td> <td> <b> As % of total DALYs </b> </td> </tr> </thead> <tbody> <tr> <td> Malnutrition </td> <td> 5 881 </td> <td> 11.7 </td> <td> 199 486 </td> <td> 22.0 </td> <td> 20 089 </td> <td> 4.2 </td> <td> 219 575 </td> <td> 15.9 </td> </tr> <tr> <td> Poor water supply sanitation and personal and domestic hygiene </td> <td> 2 668 </td> <td> 5.3 </td> <td> 85 520 </td> <td> 9.4 </td> <td> 7 872 </td> <td> 1.7 </td> <td> 93 392 </td> <td> 6.8 </td> </tr> <tr> <td> Unsafe sex </td> <td> 1 095 </td> <td> 2.2 </td> <td> 27 602 </td> <td> 3.0 </td> <td> 21 100 </td> <td> 4.5 </td> <td> 48 702 </td> <td> 3.5 </td> </tr> <tr> <td> Tobacco </td> <td> 3 038 </td> <td> 6.0 </td> <td> 26 217 </td> <td> 2.9 </td> <td> 9 965 </td> <td> 2.1 </td> <td> 36 182 </td> <td> 2.6 </td> </tr> <tr> <td> Alcohol </td> <td> 774 </td> <td> 1.5 </td> <td> 19 287 </td> <td> 2.1 </td> <td> 28 400 </td> <td> 6.0 </td> <td> 47 687 </td> <td> 3.5 </td> </tr> <tr> <td> Occupation </td> <td> 1 129 </td> <td> 2.2 </td> <td> 22 493 </td> <td> 2.5 </td> <td> 15 394 </td> <td> 3.3 </td> <td> 37 887 </td> <td> 2.7 </td> </tr> <tr> <td> Hypertension </td> <td> 2 918 </td> <td> 5.8 </td> <td> 18 665 </td> <td> 1.9 </td> <td> 1 411 </td> <td> 0.3 </td> <td> 19 076 </td> <td> 1.4 </td> </tr> <tr> <td> Physical inactivity </td> <td> 1 991 </td> <td> 3.9 </td> <td> 11 353 </td> <td> 1.3 </td> <td> 2 300 </td> <td> 0.5 </td> <td> 13 653 </td> <td> 1.0 </td> </tr> <tr> <td> Illicit drugs </td> <td> 100 </td> <td> 0.2 </td> <td> 2 634 </td> <td> 0.3 </td> <td> 5 834 </td> <td> 1.2 </td> <td> 8 467 </td> <td> 0.6 </td> </tr> <tr> <td> Air pollution </td> <td> 568 </td> <td> 1.1 </td> <td> 5 625 </td> <td> 0.6 </td> <td> 1 630 </td> <td> 0.3 </td> <td> 7 254 </td> <td> 0.5 </td> </tr> </tbody> </table> </body> </html>

train

538,578

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="2"> <b> NHS Staffing </b> </td> <td colspan="2"> <b> NMC Register </b> </td> <td colspan="2"> <b> Vacancy </b> </td> </tr> <tr> <td> <b> SHA name </b> </td> <td> <b> wte </b> </td> <td> <b> headcount </b> </td> <td> <b> register </b> </td> <td> <b> %NHS <sup> <i> b </i> </sup> </b> </td> <td> <b> %vac </b> </td> <td> <b> #vac </b> </td> </tr> </thead> <tbody> <tr> <td> Norfolk, Suffolk & ambridgeshire </td> <td> 12312 </td> <td> 15936 </td> <td> 21775 </td> <td> 73 </td> <td> 2.3 </td> <td> 296 </td> </tr> <tr> <td> Bedfordshire & Hertfordshire </td> <td> 6818 </td> <td> 8684 </td> <td> 15416 </td> <td> 56 </td> <td> 6.4 </td> <td> 441 </td> </tr> <tr> <td> Essex </td> <td> 6858 </td> <td> 8637 </td> <td> 13976 </td> <td> 62 </td> <td> 3.3 </td> <td> 230 </td> </tr> <tr> <td> <b> London </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> North West London </td> <td> 12627 </td> <td> 15556 </td> <td> 16785 </td> <td> 93 </td> <td> 6.6 </td> <td> 815 </td> </tr> <tr> <td> North Central London </td> <td> 10501 </td> <td> 12553 </td> <td> 11379 </td> <td> 110 <sup> <i> c </i> </sup> </td> <td> 5.7 </td> <td> 592 </td> </tr> <tr> <td> North East London </td> <td> 9416 </td> <td> 11646 </td> <td> 13632 </td> <td> 85 </td> <td> 3.8 </td> <td> 332 </td> </tr> <tr> <td> South East London </td> <td> 11024 </td> <td> 13930 </td> <td> 16384 </td> <td> 85 </td> <td> 7.3 </td> <td> 811 </td> </tr> <tr> <td> South West London </td> <td> 7503 </td> <td> 9679 </td> <td> 14437 </td> <td> 67 </td> <td> 2.3 </td> <td> 170 </td> </tr> <tr> <td> Northumberland, Tyne & Wear </td> <td> 10365 </td> <td> 12455 </td> <td> 14588 </td> <td> 85 </td> <td> 1.1 </td> <td> 113 </td> </tr> <tr> <td> County Durham & Tees Valley </td> <td> 7275 </td> <td> 8536 </td> <td> 12147 </td> <td> 70 </td> <td> 1.4 </td> <td> 103 </td> </tr> <tr> <td> NE Yorkshire & N Lincolnshire </td> <td> 7951 </td> <td> 9845 </td> <td> 17842 </td> <td> 55 </td> <td> 2.1 </td> <td> 174 </td> </tr> <tr> <td> West Yorkshire </td> <td> 14233 </td> <td> 17926 </td> <td> 20594 </td> <td> 87 </td> <td> 1.6 </td> <td> 221 </td> </tr> <tr> <td> Cumbria & ancashire </td> <td> 11490 </td> <td> 14226 </td> <td> 21246 </td> <td> 67 </td> <td> 1.3 </td> <td> 155 </td> </tr> <tr> <td> Greater Manchester </td> <td> 17422 </td> <td> 20674 </td> <td> 25279 </td> <td> 82 </td> <td> 1.6 </td> <td> 289 </td> </tr> <tr> <td> Cheshire & Merseyside </td> <td> 16276 </td> <td> 19730 </td> <td> 26948 </td> <td> 73 </td> <td> 1.4 </td> <td> 225 </td> </tr> <tr> <td> <b> The Southeast </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Thames Valley </td> <td> 10621 </td> <td> 13975 </td> <td> 20044 </td> <td> 70 </td> <td> 2.9 </td> <td> 295 </td> </tr> <tr> <td> Hampshire & Isle of Wight </td> <td> 9424 </td> <td> 12564 </td> <td> 18370 </td> <td> 68 </td> <td> 3.6 </td> <td> 331 </td> </tr> <tr> <td> Kent & Medway </td> <td> 7261 </td> <td> 9303 </td> <td> 14562 </td> <td> 64 </td> <td> 2.7 </td> <td> 195 </td> </tr> <tr> <td> Surrey & Sussex </td> <td> 12977 </td> <td> 17258 </td> <td> 28048 </td> <td> 62 </td> <td> 4.3 </td> <td> 547 </td> </tr> <tr> <td> Avon, Gloucestershire & Wiltshire </td> <td> 12699 </td> <td> 16836 </td> <td> 23765 </td> <td> 71 </td> <td> 1.8 </td> <td> 220 </td> </tr> <tr> <td> South West Peninsula </td> <td> 8888 </td> <td> 10958 </td> <td> 16902 </td> <td> 65 </td> <td> 0.9 </td> <td> 77 </td> </tr> <tr> <td> Dorset & Somerset </td> <td> 6202 </td> <td> 7945 </td> <td> 12662 </td> <td> 63 </td> <td> 0.4 </td> <td> 23 </td> </tr> <tr> <td> South Yorkshire </td> <td> 9138 </td> <td> 10783 </td> <td> 13355 </td> <td> 81 </td> <td> 0.9 </td> <td> 85 </td> </tr> <tr> <td> Trent </td> <td> 14050 </td> <td> 17333 </td> <td> 26817 </td> <td> 65 </td> <td> 0.8 </td> <td> 120 </td> </tr> <tr> <td> Leics, Northamptonshire & Rutland </td> <td> 7272 </td> <td> 9041 </td> <td> 15028 </td> <td> 60 </td> <td> 2.1 </td> <td> 167 </td> </tr> <tr> <td> Shropshire & Staffordshire </td> <td> 7985 </td> <td> 9862 </td> <td> 16108 </td> <td> 61 </td> <td> 1.1 </td> <td> 89 </td> </tr> <tr> <td> Birmingham & the Black Country </td> <td> 15288 </td> <td> 18343 </td> <td> 19620 </td> <td> 94 </td> <td> 1.9 </td> <td> 296 </td> </tr> <tr> <td> West Midlands South <sup> <i> d </i> </sup> </td> <td> 7460 </td> <td> 9793 </td> <td> 15813 </td> <td> 62 </td> <td> 1.2 </td> <td> 86 </td> </tr> <tr> <td> All London SHAs </td> <td> 51071 </td> <td> 63364 </td> <td> 72617 </td> <td> 87 </td> <td> 5.1 </td> <td> 2719 </td> </tr> <tr> <td> Southeast Region <sup> <i> e </i> </sup> </td> <td> 40283 </td> <td> 53100 </td> <td> 81024 </td> <td> 66 </td> <td> 3.3 </td> <td> 1368 </td> </tr> <tr> <td> Rest of England </td> <td> 199982 </td> <td> 247543 </td> <td> 349881 </td> <td> 71 </td> <td> 1.7 </td> <td> 3421 </td> </tr> <tr> <td> <b> England TOTAL </b> </td> <td> 291336 </td> <td> 364007 </td> <td> 503522 </td> <td> 73 </td> <td> 2.6 </td> <td> 7508 </td> </tr> <tr> <td> Wales </td> <td> 26300 </td> <td> - </td> <td> 33281 </td> <td> - </td> <td> 2.1 </td> <td> 564 </td> </tr> <tr> <td> Scotland </td> <td> 39037 </td> <td> 41270 </td> <td> 66817 </td> <td> 6.2 </td> <td> 1.1 </td> <td> 486 </td> </tr> <tr> <td> Northern Ireland </td> <td> - </td> <td> - </td> <td> 21645 </td> <td> - </td> <td> - </td> <td> - </td> </tr> </tbody> </table> </body> </html>

train

86,106

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> </td> <td colspan="4"> <b> Training Source <sup> <i> b </i> </sup> </b> </td> <td> </td> </tr> <tr> <td> <b> SHA name </b> </td> <td> <b> Total </b> </td> <td> <b> UK </b> </td> <td> <b> Intl </b> </td> <td> <b> %UK </b> </td> <td> <b> %Intl </b> </td> <td> <b> %Intl in SHA <sup> <i> c </i> </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> Norfolk, Suffolk & ambridgeshire </td> <td> 21775 </td> <td> 20364 </td> <td> 1411 </td> <td> 93.5 </td> <td> 6.5 </td> <td> 4.6 </td> </tr> <tr> <td> Bedfordshire & Hertfordshire </td> <td> 15416 </td> <td> 14305 </td> <td> 1111 </td> <td> 92.8 </td> <td> 7.2 </td> <td> 3.6 </td> </tr> <tr> <td> Essex </td> <td> 13976 </td> <td> 13200 </td> <td> 776 </td> <td> 94.5 </td> <td> 5.6 </td> <td> 2.5 </td> </tr> <tr> <td> <b> London </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> North West London </td> <td> 16785 </td> <td> 14251 </td> <td> 2534 </td> <td> 84.9 </td> <td> 15.1 </td> <td> 8.2 </td> </tr> <tr> <td> North Central London </td> <td> 11379 </td> <td> 10215 </td> <td> 1164 </td> <td> 89.8 </td> <td> 10.2 </td> <td> 3.8 </td> </tr> <tr> <td> North East London </td> <td> 13632 </td> <td> 12330 </td> <td> 1302 </td> <td> 90.5 </td> <td> 9.6 </td> <td> 4.2 </td> </tr> <tr> <td> South East London </td> <td> 16384 </td> <td> 15093 </td> <td> 1291 </td> <td> 92.1 </td> <td> 7.9 </td> <td> 4.2 </td> </tr> <tr> <td> South West London </td> <td> 14437 </td> <td> 13260 </td> <td> 1177 </td> <td> 91.9 </td> <td> 8.2 </td> <td> 3.8 </td> </tr> <tr> <td> Northumberland, Tyne & Wear </td> <td> 14588 </td> <td> 14080 </td> <td> 508 </td> <td> 96.5 </td> <td> 3.5 </td> <td> 1.7 </td> </tr> <tr> <td> County Durham & Tees Valley </td> <td> 12147 </td> <td> 11867 </td> <td> 280 </td> <td> 97.7 </td> <td> 2.3 </td> <td> 0.9 </td> </tr> <tr> <td> NE Yorkshire & N Lincolnshire </td> <td> 17842 </td> <td> 17496 </td> <td> 346 </td> <td> 98.1 </td> <td> 1.9 </td> <td> 1.1 </td> </tr> <tr> <td> West Yorkshire </td> <td> 20594 </td> <td> 19569 </td> <td> 1025 </td> <td> 95.0 </td> <td> 5.0 </td> <td> 3.3 </td> </tr> <tr> <td> Cumbria & ancashire </td> <td> 21246 </td> <td> 20647 </td> <td> 599 </td> <td> 97.2 </td> <td> 2.8 </td> <td> 1.9 </td> </tr> <tr> <td> Greater Manchester </td> <td> 25279 </td> <td> 23882 </td> <td> 1397 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 4.5 </td> </tr> <tr> <td> Cheshire & Merseyside </td> <td> 26948 </td> <td> 25758 </td> <td> 1190 </td> <td> 95.6 </td> <td> 4.4 </td> <td> 3.9 </td> </tr> <tr> <td> <b> The Southeast </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Thames Valley </td> <td> 20044 </td> <td> 18461 </td> <td> 1583 </td> <td> 92.1 </td> <td> 7.9 </td> <td> 5.1 </td> </tr> <tr> <td> Hampshire & Isle of Wight </td> <td> 18370 </td> <td> 17355 </td> <td> 1015 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 3.3 </td> </tr> <tr> <td> Kent & Medway </td> <td> 14562 </td> <td> 13930 </td> <td> 632 </td> <td> 95.7 </td> <td> 4.3 </td> <td> 2.1 </td> </tr> <tr> <td> Surrey & Sussex </td> <td> 28048 </td> <td> 26274 </td> <td> 1774 </td> <td> 93.7 </td> <td> 6.3 </td> <td> 5.8 </td> </tr> <tr> <td> Avon, Gloucestershire & Wiltshire </td> <td> 23765 </td> <td> 22178 </td> <td> 1587 </td> <td> 93.3 </td> <td> 6.7 </td> <td> 5.2 </td> </tr> <tr> <td> South West Peninsula </td> <td> 16902 </td> <td> 16653 </td> <td> 249 </td> <td> 98.5 </td> <td> 1.5 </td> <td> 0.8 </td> </tr> <tr> <td> Dorset & Somerset </td> <td> 12662 </td> <td> 12206 </td> <td> 456 </td> <td> 96.4 </td> <td> 3.6 </td> <td> 1.5 </td> </tr> <tr> <td> South Yorkshire </td> <td> 13355 </td> <td> 12916 </td> <td> 439 </td> <td> 96.7 </td> <td> 3.3 </td> <td> 1.4 </td> </tr> <tr> <td> Trent </td> <td> 26817 </td> <td> 26049 </td> <td> 768 </td> <td> 97.1 </td> <td> 2.9 </td> <td> 2.5 </td> </tr> <tr> <td> Leics, Northamptonshire & Rutland </td> <td> 15028 </td> <td> 14546 </td> <td> 482 </td> <td> 96.8 </td> <td> 3.2 </td> <td> 1.6 </td> </tr> <tr> <td> Shropshire & Staffordshire </td> <td> 16108 </td> <td> 15536 </td> <td> 572 </td> <td> 96.5 </td> <td> 3.6 </td> <td> 1.9 </td> </tr> <tr> <td> Birmingham & the Black Country </td> <td> 19620 </td> <td> 18348 </td> <td> 1272 </td> <td> 93.5 </td> <td> 6.5 </td> <td> 4.1 </td> </tr> <tr> <td> West Midlands South </td> <td> 15813 </td> <td> 15275 </td> <td> 538 </td> <td> 96.6 </td> <td> 3.4 </td> <td> 1.8 </td> </tr> <tr> <td> All London SHAs </td> <td> 72617 </td> <td> 65149 </td> <td> 7468 </td> <td> 89.7 </td> <td> 10.3 </td> <td> 24.2 </td> </tr> <tr> <td> Southeast Region </td> <td> 81024 </td> <td> 76020 </td> <td> 5004 </td> <td> 93.8 </td> <td> 6.2 </td> <td> 16.2 </td> </tr> <tr> <td> Rest of England </td> <td> 349881 </td> <td> 334875 </td> <td> 15006 </td> <td> 95.7 </td> <td> 4.3 </td> <td> 48.7 </td> </tr> <tr> <td> <b> England TOTAL </b> </td> <td> 503522 </td> <td> 476044 </td> <td> 27478 </td> <td> 94.5 </td> <td> 5.5 </td> <td> 89.2 </td> </tr> <tr> <td> Wales </td> <td> 33281 </td> <td> 32022 </td> <td> 1259 </td> <td> 96.2 </td> <td> 3.8 </td> <td> 4.1 </td> </tr> <tr> <td> Scotland </td> <td> 66817 </td> <td> 65935 </td> <td> 882 </td> <td> 98.7 </td> <td> 1.3 </td> <td> 2.9 </td> </tr> <tr> <td> Northern Ireland </td> <td> 21645 </td> <td> 20591 </td> <td> 1054 </td> <td> 95.1 </td> <td> 4.9 </td> <td> 3.4 </td> </tr> </tbody> </table> </body> </html>

train

397,682

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Scaffold </b> </td> <td> <b> 21 </b> </td> <td> <b> 91 </b> </td> <td> <b> 21 </b> </td> <td> <b> 21 </b> </td> </tr> </thead> <tbody> <tr> <td> JGI acc no </td> <td> ci0100152002 </td> <td> ci0100131399 </td> <td> ci0100152615 </td> <td> ci0100130149 </td> </tr> <tr> <td> Exon no </td> <td> Ci_a5 </td> <td> Ci_a6 </td> <td> Ci_a7 </td> <td> Ci_a8 </td> </tr> <tr> <td> 1 </td> <td> 170 </td> <td> 161 </td> <td> 167 </td> <td> 167 </td> </tr> <tr> <td> 2 </td> <td> 128 </td> <td> 128 </td> <td> 128 </td> <td> 128 </td> </tr> <tr> <td> 3 </td> <td> 63 </td> <td> 63 </td> <td> 63 </td> <td> 63 </td> </tr> <tr> <td> 4 </td> <td> 127 </td> <td> 127 </td> <td> 67 </td> <td> 127 </td> </tr> <tr> <td> 5 </td> <td> 123 </td> <td> 123 </td> <td> 121 </td> <td> 123 </td> </tr> <tr> <td> 6 </td> <td> 116 </td> <td> 92 </td> <td> 80 </td> <td> 90 </td> </tr> <tr> <td> 7 </td> <td> 187 </td> <td> 205 </td> <td> 187 </td> <td> 219 </td> </tr> <tr> <td> 8 </td> <td> 179 </td> <td> 179 </td> <td> 181 </td> <td> 179 </td> </tr> <tr> <td> 9 </td> <td> 57 </td> <td> 68 </td> <td> 68 </td> <td> 68 </td> </tr> <tr> <td> 10 </td> <td> 179 </td> <td> 180 </td> <td> 180 </td> <td> 180 </td> </tr> <tr> <td> 11 </td> <td> 87 </td> <td> 88 </td> <td> 90 </td> <td> 86 </td> </tr> <tr> <td> 12 </td> <td> 256 </td> <td> 256 </td> <td> 234 </td> <td> 256 </td> </tr> <tr> <td> 13 </td> <td> 210 </td> <td> 210 </td> <td> 232 </td> <td> 210 </td> </tr> <tr> <td> 14 </td> <td> 307 </td> <td> 310 </td> <td> 313 </td> <td> 304 </td> </tr> <tr> <td> 15 </td> <td> 149 </td> <td> 146 </td> <td> 146 </td> <td> 146 </td> </tr> <tr> <td> 16 </td> <td> 224 </td> <td> 224 </td> <td> 224 </td> <td> 224 </td> </tr> <tr> <td> 17 </td> <td> 143 </td> <td> 143 </td> <td> 143 </td> <td> 143 </td> </tr> <tr> <td> 18 </td> <td> 80 </td> <td> 107 </td> <td> 107 </td> <td> 107 </td> </tr> <tr> <td> 19 </td> <td> 87 </td> <td> 89 </td> <td> 89 </td> <td> 89 </td> </tr> <tr> <td> 20 </td> <td> 101 </td> <td> 99 </td> <td> 99 </td> <td> 99 </td> </tr> <tr> <td> 21 </td> <td> 121 </td> <td> 120 </td> <td> 122 </td> <td> 120 </td> </tr> <tr> <td> 22 </td> <td> 108 </td> <td> 109 </td> <td> 109 </td> <td> 109 </td> </tr> <tr> <td> 23 </td> <td> 129 </td> <td> 129 </td> <td> 129 </td> <td> 129 </td> </tr> <tr> <td> 24 </td> <td> 114 </td> <td> 114 </td> <td> 126 </td> <td> 202 </td> </tr> <tr> <td> 25 </td> <td> 88 </td> <td> 88 </td> <td> 76 </td> <td> 135 </td> </tr> <tr> <td> 26 </td> <td> 135 </td> <td> 132 </td> <td> 135 </td> <td> 97 </td> </tr> <tr> <td> 27 </td> <td> 151 </td> <td> 92 </td> <td> 95 </td> <td> No Exon </td> </tr> </tbody> </table> </body> </html>

train

151,012

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Lineage </b> </td> <td> <b> Species </b> </td> <td> <b> Database </b> </td> <td> <b> Acc code </b> </td> <td> <b> Gene </b> </td> </tr> </thead> <tbody> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P05556 </td> <td> Hs_b1 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P05107 </td> <td> Hs_b2 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P05106 </td> <td> Hs_b3 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P16144 </td> <td> Hs_b4 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P18084 </td> <td> Hs_b5 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P18564 </td> <td> Hs_b6 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P26010 </td> <td> Hs_b7 </td> </tr> <tr> <td> Chordate </td> <td> H. sapiens </td> <td> Swiss-Prot </td> <td> P26012 </td> <td> Hs_b8 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100141446 </td> <td> Ci_b1 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100143908 </td> <td> Ci_b2 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> See Fig. S1 </td> <td> Ci_b3 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100131678 </td> <td> Ci_b4 </td> </tr> <tr> <td> Urochordate </td> <td> C. intestinalis </td> <td> JGI Ci v1.0 </td> <td> ci0100143050 </td> <td> Ci_b5 </td> </tr> <tr> <td> Urochordate </td> <td> H. roretzi </td> <td> Genbank </td> <td> AB154831 </td> <td> Hr_b1 </td> </tr> <tr> <td> Urochordate </td> <td> H. roretzi </td> <td> Genbank </td> <td> AB154832 </td> <td> Hr_b2 </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> AF0559607 </td> <td> Sp_bC </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> NP_999732 </td> <td> Sp_bG </td> </tr> <tr> <td> Echinoderm </td> <td> S. purpuratus </td> <td> NCBI </td> <td> NP_999731 </td> <td> Sp_bL </td> </tr> <tr> <td> Arthropod </td> <td> D. melanogaster </td> <td> Swiss-Prot </td> <td> P11584 </td> <td> Dm_bPS </td> </tr> <tr> <td> Arthropod </td> <td> D. melanogaster </td> <td> Swiss-Prot </td> <td> L13305 </td> <td> Dm_bv </td> </tr> <tr> <td> Nematode </td> <td> C. elegans </td> <td> Swiss-Prot </td> <td> Q27874 </td> <td> Ce_b-pat3 </td> </tr> <tr> <td> Mollusc </td> <td> B. glabraba </td> <td> Swiss-Prot </td> <td> AF060203 </td> <td> Bg_beta </td> </tr> <tr> <td> Cnidaria </td> <td> A. millepora </td> <td> Swiss-Prot </td> <td> AF005356 </td> <td> Am_beta </td> </tr> <tr> <td> Porifera </td> <td> G. cydonium </td> <td> Swiss-Prot </td> <td> O97189 </td> <td> Gc_beta </td> </tr> </tbody> </table> </body> </html>

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Human: only in kidney </td> <td> Nas1; NaSi-1 </td> <td> [54, 55] </td> </tr> <tr> <td> Slc14a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.2 ± 1.2 </b> </td> <td> </td> <td> <b> 2.1 ± 1.2 </b> </td> <td> </td> <td> Human: Expressed in C; Rat: expressed in C </td> <td> UT-B </td> <td> [56, 57] </td> </tr> <tr> <td> Slc17a6 </td> <td> </td> <td> <b> 2.2 ± 0.4 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Rat: abundant in I </td> <td> DNPI, VGLUT2 </td> <td> [58] </td> </tr> <tr> <td> Slc17a7 </td> <td> <b> 2.2 ± 0. </b> 4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Vglut1 </td> <td> </td> </tr> <tr> <td> Slc19a3 </td> <td> 3.8 ± 0.9 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Human: D > J > C > I </td> <td> ThTr2 </td> <td> [59] </td> </tr> <tr> <td> Slc1a1 </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 0.2 </td> <td> 2.8 ± 0.2 </td> <td> </td> <td> </td> <td> </td> <td> Mouse: SI; rat: high in distal SI; human: intestine </td> <td> EAAC1, EAAC2, EAAT3, MEAAC1 </td> <td> [60-62] </td> </tr> <tr> <td> Slc20a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.4 </td> <td> </td> <td> </td> <td> Mouse: Present in D </td> <td> Glvr-1, Glvr1 </td> <td> [63] </td> </tr> <tr> <td> Slc25a22 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.3 </td> <td> </td> <td> 2.7 ± 0.3 </td> <td> </td> <td> Human: SI </td> <td> - </td> <td> [64] </td> </tr> <tr> <td> Slc26a2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.3 </td> <td> Human: C > SI </td> <td> Dtd, ST-OB </td> <td> [65] </td> </tr> <tr> <td> Slc26a6 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 5.4 ± 0.2 </td> <td> </td> <td> 6.1 ± 0.3 </td> <td> </td> <td> Mouse: D, J, I > C; Human: D>C>J~I, SI > C </td> <td> CFEX; Pat1 </td> <td> [66, 67] </td> </tr> <tr> <td> Slc28a3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.5 ± 1.2 </td> <td> </td> <td> 3.5 ± 1.1 </td> <td> </td> <td> Human: D > J > I > C </td> <td> Cnt3 </td> <td> [68] </td> </tr> <tr> <td> Slc2a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.9 ± 0.6 </td> <td> </td> <td> 3.10 ± 0.3 </td> <td> Rat: Low expressed in SI; Human: expressed in colon carcinoma </td> <td> Glut1; Glut-1 </td> <td> [69, 70] </td> </tr> <tr> <td> Slc2a2 </td> <td> </td> <td> </td> <td> 4.0 ± 0.4 </td> <td> </td> <td> 2.6 ± 0.5 </td> <td> </td> <td> 5.2 ± 0.8 </td> <td> </td> <td> Human: expressed in SI </td> <td> Glut2; Glut-2 </td> <td> [71] </td> </tr> <tr> <td> Slc2a5 </td> <td> </td> <td> </td> <td> 2.6 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> 3.2 ± 0.7 </td> <td> </td> <td> Mouse: expressed in SI; Human: expressed in J </td> <td> Glut5; Slc5a </td> <td> [72, 73] </td> </tr> <tr> <td> Slc34a2 </td> <td> </td> <td> 4.0 ± 0.3 </td> <td> </td> <td> 3.7 ± 0.2 </td> <td> 4.9 ± 0.6 </td> <td> </td> <td> </td> <td> </td> <td> Mouse: expressed in SI and colon; Human: SI specific </td> <td> Npt2b; NaPi-2b </td> <td> [35, 74] </td> </tr> <tr> <td> Slc35a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.2 </b> </td> <td> </td> <td> 2.7 ± 0.3 </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> Slc39a10 </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.2 ± 0.3 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> - </td> <td> </td> </tr> <tr> <td> Slc40a1 </td> <td> 5.7 ± 0.3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> </td> <td> Mouse:high in D, not detected in I; Rat: expressed in D, C; Human: highly expressed in D </td> <td> MTP; Ol5; Pcm; Dusg; Fpn1; MTP1; IREG1; Slc11a3; Slc39a1 </td> <td> [75-77] </td> </tr> <tr> <td> Slc4a7 </td> <td> 2.4 ± 0.2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.5 ± 0.2 </td> <td> </td> <td> </td> <td> Human: expressed in SI and C </td> <td> NBC3; NBCn1 </td> <td> [78] </td> </tr> <tr> <td> Slc5a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.1 </b> </td> <td> </td> <td> 2.7 ± 0.2 </td> <td> </td> <td> Mouse and Human: Specific for SI; Rat: possible expression in C </td> <td> Sglt1 </td> <td> [79, 80] </td> </tr> <tr> <td> Slc6a14 </td> <td> </td> <td> </td> <td> </td> <td> 3.0 ± 1.9 </td> <td> </td> <td> 6.0 ± 1.8 </td> <td> </td> <td> 7.7 ± 0.7 </td> <td> Mouse: SI < C; Human: weak in C, absent in SI </td> <td> ATB0plus; CATB0plus </td> <td> [81, 82] </td> </tr> <tr> <td> Slc6a19 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 6.7 ± 0.6 </td> <td> </td> <td> 6.8 ± 0.6 </td> <td> </td> <td> - </td> <td> B<0>AT1 </td> <td> </td> </tr> <tr> <td> Slc6a4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.1 ± 0.1 </td> <td> </td> <td> 3.1 ± 0.2 </td> <td> </td> <td> Mouse and human: Intestinal enterocytes </td> <td> Htt; Sert; 5-HTT </td> <td> [83] </td> </tr> <tr> <td> Slc7a7 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.6 ± 0.1 </td> <td> </td> <td> 3.7 ± 0.2 </td> <td> </td> <td> Mouse: expressed in J, I; human: highly expressed in SI </td> <td> my+lat1 </td> <td> [84, 85] </td> </tr> <tr> <td> Slc7a8 </td> <td> </td> <td> <b> 2.1 ± 0.4 </b> </td> <td> </td> <td> </td> <td> 5.2 ± 0.7 </td> <td> </td> <td> 5.7 ± 0.8 </td> <td> </td> <td> Mouse: expressed in SI </td> <td> LAT2 </td> <td> [86] </td> </tr> <tr> <td> Slc7a9 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.8 ± 0.2 </td> <td> </td> <td> 3.4 ± 0.2 </td> <td> </td> <td> Mouse and human: expressed in SI </td> <td> CSNU3 </td> <td> [85] </td> </tr> <tr> <td> Slco1b2 </td> <td> <b> 2.1 ± 1.1 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> OATP2; Oatp4; lst-1; OATP-C; mlst-1; Slc21a6; Slc21a10 </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

452,395

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Gene Name </b> </td> <td> <b> D>J </b> </td> <td> <b> D<J </b> </td> <td> <b> J>I </b> </td> <td> <b> J<I </b> </td> <td> <b> I>C </b> </td> <td> <b> I<C </b> </td> <td> <b> SI>C </b> </td> <td> <b> SI<C </b> </td> <td> <b> Literature <sup> a </sup> </b> </td> <td> <b> Gene aliases </b> </td> <td> <b> References </b> </td> </tr> </thead> <tbody> <tr> <td> Aldh9a1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 0.1 </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> ESTM40; TMABA-DH </td> <td> - </td> </tr> <tr> <td> Apoc2 </td> <td> </td> <td> </td> <td> 3.7 ± 0.5 </td> <td> </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> 4.9 ± 0.6 </td> <td> </td> <td> Mouse: expressed in intestine; Rabbit: expressed in J, D; Human: expressed in J </td> <td> - </td> <td> [87-89] </td> </tr> <tr> <td> Aqp4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 4.6 ± 0.8 </td> <td> </td> <td> 4.3 ± 0.3 </td> <td> Mouse: present in SI in crypt cells, and C in epithelial surface cells; rat: SI, C </td> <td> MIWC; mMIWC </td> <td> [90, 91] </td> </tr> <tr> <td> Aqp5 </td> <td> 2.9 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Rat: D only </td> <td> - </td> <td> [91] </td> </tr> <tr> <td> Aqp8 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 4.8 ± 0.6 </td> <td> </td> <td> 3.9 ± 0.4 </td> <td> Rat: SI and C </td> <td> - </td> <td> [91] </td> </tr> <tr> <td> Atp2a3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.2 </b> </td> <td> Human: C > SI </td> <td> Serca3; SERCA3b </td> <td> [92] </td> </tr> <tr> <td> Atp7a </td> <td> 2.5 ± 0.5 </td> <td> </td> <td> </td> <td> 4.0 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Human: Highly expressed in D </td> <td> Mo; br; Blo; I14; blotchy; mottled; MNK; brindled </td> <td> [93] </td> </tr> <tr> <td> Chrna1 </td> <td> 2.5 ± 0.4 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Acra; Achr-1 </td> <td> - </td> </tr> <tr> <td> Chrne </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 0.4 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Acre </td> <td> - </td> </tr> <tr> <td> Csng </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 0.8 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Csn1s2a; Csn1s2b </td> <td> - </td> </tr> <tr> <td> D11Ertd18e </td> <td> </td> <td> </td> <td> 4.7 ± 0.5 </td> <td> </td> <td> </td> <td> </td> <td> 4.7 ± 1.0 </td> <td> </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Fabp1 </td> <td> </td> <td> </td> <td> 5.2 ± 1.1 </td> <td> </td> <td> 4.7 ± 1.1 </td> <td> </td> <td> 8.3 ± 0.10 </td> <td> </td> <td> Mouse: D, proximal J>I, nothing in distal I; Human: highest in J, present in D, J, I, C </td> <td> Fabpl; L-FABP </td> <td> [94] </td> </tr> <tr> <td> Gfpt1 </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.2 ± 0.4 </b> </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 0.4 </td> <td> Mouse: expressed in SI and C; Human: C > SI </td> <td> GFA; GFAT; Gfpt; GFAT1 </td> <td> [95, 96] </td> </tr> <tr> <td> Gfpt2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.4 </b> </td> <td> </td> <td> Human: SI and C very low expressed </td> <td> - </td> <td> [96] </td> </tr> <tr> <td> Gria1 </td> <td> <b> 2.2 ± 0.5 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Glr1; Glr-1; GluRA; Glur1; HIPA1; GluR-A; Glur-1 </td> <td> - </td> </tr> <tr> <td> Grm3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 1.2 </td> <td> </td> <td> <b> 2.3 ± 1.2 </b> </td> <td> - </td> <td> Gprc1c; mGluR3 </td> <td> - </td> </tr> <tr> <td> Gsr </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.1 ± 0.3 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Gr1; Gr-1 </td> <td> - </td> </tr> <tr> <td> Kcna3 </td> <td> </td> <td> </td> <td> 2.9 ± 0.6 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 0.4 </b> </td> <td> - </td> <td> Mk-3; Kv1.3; Kca1-3 </td> <td> - </td> </tr> <tr> <td> Kcnk6 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> Mouse: C > SI </td> <td> Toss; Twik2; </td> <td> [97] </td> </tr> <tr> <td> Kctd3 </td> <td> </td> <td> 2.7 ± 1.2 </td> <td> 2.7 ± 1.3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> NY-REN-45 </td> <td> - </td> </tr> <tr> <td> Pkd2 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.4 ± 0.5 </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Pln </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.6 ± 0.5 </td> <td> - </td> <td> PLB </td> <td> - </td> </tr> <tr> <td> Rbp2 </td> <td> </td> <td> </td> <td> 2.8 ± 0.2 </td> <td> </td> <td> <b> 3.0 ± 0.3 </b> </td> <td> </td> <td> 4.7 ± 0.5 </td> <td> </td> <td> - </td> <td> Rbp-2; Crbp-2; CrbpII </td> <td> - </td> </tr> <tr> <td> Rbp7 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.9 ± 0.3 </td> <td> </td> <td> 2.7 ± 0.3 </td> <td> </td> <td> - </td> <td> CRBP-III </td> <td> - </td> </tr> <tr> <td> Saa3 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 3.5 ± 0.6 </td> <td> </td> <td> 4.0 ± 0.4 </td> <td> Mouse and Human: Expressed in SI and C </td> <td> Saa-3 </td> <td> [98] </td> </tr> <tr> <td> Stard5 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.9 ± 1.0 </td> <td> </td> <td> </td> <td> - </td> <td> D7Ertd152e </td> <td> - </td> </tr> <tr> <td> Stx1b1 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> 3.0 ± 1.2 </b> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> Stx1bl </td> <td> - </td> </tr> <tr> <td> Trpm7 </td> <td> </td> <td> </td> <td> </td> <td> <b> 2.0 ± 1.0 </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> - </td> <td> CHAK; PLIK CHAK1; Ltpr7; Ltrpc7; </td> <td> - </td> </tr> <tr> <td> Xdh </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> 2.8 ± 0.3 </td> <td> </td> <td> Mouse: Strong in SI </td> <td> Xor; Xox1; Xox-1 </td> <td> [99] </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Transporter </b> </td> <td> <b> Segment-Specificity <sup> a,M </sup> </b> </td> <td> <b> Segment-Specificity <sup> a,R </sup> </b> </td> <td colspan="4"> <b> Tissue-Specificity <sup> b </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> </td> <td> </td> <td> <b> Duodenum </b> </td> <td> <b> Jejunum </b> </td> <td> <b> Ileum </b> </td> <td> <b> Colon </b> </td> </tr> <tr> <td> Abca1 </td> <td> D=J=I=C </td> <td> J=I=C>D </td> <td> Crypts>Villi </td> <td> ND </td> <td> ND </td> <td> ND </td> </tr> <tr> <td> Abcc1 </td> <td> D=J=I=C </td> <td> I=C>D=J </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> ND </td> </tr> <tr> <td> Abcc3 </td> <td> D=C>J=C>I=C </td> <td> I=C>D=J </td> <td> ND </td> <td> Crypts>Villi </td> <td> ND </td> <td> Crypts>Villi </td> </tr> <tr> <td> Abcg8 </td> <td> J>I=D>C </td> <td> D=J=I>C </td> <td> ND </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> <td> ND </td> </tr> <tr> <td> Slc10a2 </td> <td> I>C>D=J </td> <td> I>C>D=J </td> <td> ND </td> <td> ND </td> <td> Villi>Crypts </td> <td> ND </td> </tr> <tr> <td> Slc28a2 </td> <td> D>J>I>C </td> <td> D=J=I>C </td> <td> ND </td> <td> Villi>Crypts <sup> x </sup> </td> <td> Villi>Crypts <sup> x </sup> </td> <td> ND </td> </tr> <tr> <td> Slc2a1 </td> <td> C>D=J=I </td> <td> C>I>D=J </td> <td> ND </td> <td> Crypts>Villi </td> <td> Crypts>Villi </td> <td> Crypts>Villi <sup> x </sup> </td> </tr> <tr> <td> Slc34a2 </td> <td> I>C>J>D </td> <td> I>C=J>D </td> <td> ND </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> <td> Villi>Crypts </td> </tr> <tr> <td> Slc5a8 </td> <td> C>I>D=J </td> <td> C=I>J>D </td> <td> ND </td> <td> Villi>Crypts </td> <td> ND </td> <td> ND </td> </tr> </tbody> </table> </body> </html>

train

397,250

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train

436,276

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train

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train

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train

169,213

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Characteristic </b> </td> <td> <b> COPD (n = 386) </b> </td> <td> <b> No COPD (n = 1,727) </b> </td> <td> <b> P value </b> </td> </tr> </thead> <tbody> <tr> <td> Age (years) </td> <td> 64.3 (6.2) </td> <td> 63.9 (6.1) </td> <td> 0.24 </td> </tr> <tr> <td> Gender (female) </td> <td> 246 (64%) </td> <td> 961 (56%) </td> <td> 0.004 </td> </tr> <tr> <td> Race-ethnicity (white) </td> <td> 337 (87%) </td> <td> 1495 (87%) </td> <td> 0.70 </td> </tr> <tr> <td> Married or cohabitating </td> <td> 186 (48%) </td> <td> 1080 (63%) </td> <td> <0.0001 </td> </tr> <tr> <td> Educational attainment </td> <td> </td> <td> </td> <td> <0.0001 </td> </tr> <tr> <td> High school degree </td> <td> 207 (54%) </td> <td> 709 (41%) </td> <td> </td> </tr> <tr> <td> Some college </td> <td> 105 (27%) </td> <td> 529 (31%) </td> <td> </td> </tr> <tr> <td> College or graduate degree </td> <td> 74 (19%) </td> <td> 489 (28%) </td> <td> </td> </tr> <tr> <td> Cigarette smoking </td> <td> </td> <td> </td> <td> <0.0001 </td> </tr> <tr> <td> Current smoker </td> <td> 127 (33%) </td> <td> 279 (16%) </td> <td> </td> </tr> <tr> <td> Past smoker </td> <td> 184 (48%) </td> <td> 685 (40%) </td> <td> </td> </tr> <tr> <td> Never smoker </td> <td> 75 (19%) </td> <td> 763 (44%) </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

197,214

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train

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train

332,784

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> </td> <td> <b> 12-month prevalence (%) </b> </td> <td> <b> 95% C.I. </b> </td> </tr> </thead> <tbody> <tr> <td> Overall </td> <td> </td> <td> 4.8 </td> <td> 4.5 – 5.1 </td> </tr> <tr> <td> Sex </td> <td> Male </td> <td> 3.7 </td> <td> 3.3 – 4.1 </td> </tr> <tr> <td> </td> <td> Female </td> <td> 5.9 </td> <td> 5.4 – 6.4 </td> </tr> <tr> <td> Age </td> <td> 15–25 </td> <td> 6.2 </td> <td> 5.4 – 7.0 </td> </tr> <tr> <td> </td> <td> 26–45 </td> <td> 5.6 </td> <td> 5.0 – 6.0 </td> </tr> <tr> <td> </td> <td> 46–65 </td> <td> 4.4 </td> <td> 3.8 – 5.0 </td> </tr> <tr> <td> </td> <td> > 65 </td> <td> 2.0 </td> <td> 1.5 – 2.4 </td> </tr> <tr> <td> Marital Status </td> <td> Wid/Sep/Div/Single </td> <td> 4.4 </td> <td> 2.5 – 3.1 </td> </tr> <tr> <td> </td> <td> Married/Single** </td> <td> 2.8 </td> <td> 4.0 – 4.8 </td> </tr> <tr> <td> Education </td> <td> Some > HS </td> <td> 4.8 </td> <td> 4.4 – 5.3 </td> </tr> <tr> <td> </td> <td> ≤ High School </td> <td> 4.8 </td> <td> 4.3 – 5.2 </td> </tr> </tbody> </table> </body> </html>

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train

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train

26,719

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train

140,645

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train

4,352

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train

82,077

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Gene Label </b> </td> <td> <b> GEO </b> </td> <td> <b> QUANT </b> </td> <td> <b> RANK </b> </td> <td> <b> SIMU2N </b> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> 743 </td> <td> 746 </td> <td> 741 </td> <td> 12558 </td> </tr> <tr> <td> 2 </td> <td> 754 </td> <td> 750 </td> <td> 756 </td> <td> 12558 </td> </tr> <tr> <td> 3 </td> <td> 723 </td> <td> 723 </td> <td> 721 </td> <td> 12558 </td> </tr> <tr> <td> 4 </td> <td> 705 </td> <td> 698 </td> <td> 718 </td> <td> 12558 </td> </tr> <tr> <td> 5 </td> <td> 736 </td> <td> 734 </td> <td> 754 </td> <td> 12558 </td> </tr> <tr> <td> 6 </td> <td> 751 </td> <td> 763 </td> <td> 765 </td> <td> 12558 </td> </tr> <tr> <td> 7 </td> <td> 702 </td> <td> 695 </td> <td> 709 </td> <td> 12558 </td> </tr> <tr> <td> 8 </td> <td> 667 </td> <td> 665 </td> <td> 679 </td> <td> 12558 </td> </tr> <tr> <td> 9 </td> <td> 747 </td> <td> 747 </td> <td> 759 </td> <td> 12558 </td> </tr> <tr> <td> 10 </td> <td> 728 </td> <td> 730 </td> <td> 736 </td> <td> 12558 </td> </tr> <tr> <td> 11 </td> <td> 713 </td> <td> 717 </td> <td> 713 </td> <td> 12558 </td> </tr> <tr> <td> 12 </td> <td> 696 </td> <td> 699 </td> <td> 685 </td> <td> 12558 </td> </tr> <tr> <td> 13 </td> <td> 743 </td> <td> 750 </td> <td> 762 </td> <td> 12558 </td> </tr> <tr> <td> 14 </td> <td> 725 </td> <td> 721 </td> <td> 733 </td> <td> 12558 </td> </tr> <tr> <td> 15 </td> <td> 691 </td> <td> 691 </td> <td> 740 </td> <td> 12558 </td> </tr> <tr> <td> 16 </td> <td> 789 </td> <td> 789 </td> <td> 799 </td> <td> 12558 </td> </tr> <tr> <td> 17 </td> <td> 724 </td> <td> 725 </td> <td> 669 </td> <td> 12558 </td> </tr> <tr> <td> 18 </td> <td> 716 </td> <td> 712 </td> <td> 722 </td> <td> 12558 </td> </tr> <tr> <td> 19 </td> <td> 762 </td> <td> 762 </td> <td> 720 </td> <td> 12558 </td> </tr> <tr> <td> 20 </td> <td> 676 </td> <td> 673 </td> <td> 708 </td> <td> 12558 </td> </tr> <tr> <td> Mean </td> <td> 724.6 </td> <td> 724.5 </td> <td> 729.5 </td> <td> 12558 </td> </tr> <tr> <td> STD </td> <td> 30.1 </td> <td> 31.8 </td> <td> 31.9 </td> <td> 0 </td> </tr> </tbody> </table> </body> </html>

train

465,260

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train

213,364

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Group no. </b> </td> <td> <b> Treatment </b> </td> <td> <b> No. of mice </b> </td> <td colspan="3"> <b> Incidence (no. of mice with neoplasms) </b> </td> <td colspan="3"> <b> Multiplicity (no. of tumors/mice, means ± SD) </b> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> <b> Total </b> </td> <td> <b> Adenoma </b> </td> <td> <b> Adeno-carcinoma </b> </td> <td> <b> Total </b> </td> <td> <b> Adenoma </b> </td> <td> <b> Adeno-carcinoma </b> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> AOM/DSS </td> <td> 10 </td> <td> 10/10 (100%) </td> <td> 10/10 (100%) </td> <td> 10/10 (100%) </td> <td> 5.2 ± 3.0 </td> <td> 2.1 ± 1.8 </td> <td> 3.0 ± 1.8 </td> </tr> <tr> <td> 2 </td> <td> AOM/DSS/0.04% Nimesulide </td> <td> 10 </td> <td> 8/10 (80%) </td> <td> 6/10 (60%) <sup> a </sup> </td> <td> 4/10 (40%) <sup> b </sup> </td> <td> 1.8 ± 1.7 <sup> b </sup> </td> <td> 1.2 ± 1.3 </td> <td> 0.6 ± 1.0 <sup> c </sup> </td> </tr> <tr> <td> 3 </td> <td> AOM/DSS/0.05% Troglitazone </td> <td> 10 </td> <td> 9/10 (90%) </td> <td> 9/10 (90%) </td> <td> 4/10 (40%) <sup> b </sup> </td> <td> 2.5 ± 1.8 <sup> a </sup> </td> <td> 1.6 ± 1.1 </td> <td> 1.2 ± 2.5 <sup> a </sup> </td> </tr> <tr> <td> 4 </td> <td> AOM/DSS/0.05% Bezafibrate </td> <td> 10 </td> <td> 8/10 (80%) </td> <td> 7/10 (70%) </td> <td> 6/10 (60%) <sup> a </sup> </td> <td> 2.6 ± 2.5 <sup> a </sup> </td> <td> 1.1 ± 1.0 <sup> a </sup> </td> <td> 1.8 ± 2.6 </td> </tr> <tr> <td> 5 </td> <td> 0.04% Nimesulide </td> <td> 5 </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> 6 </td> <td> 0.05% Troglitazone </td> <td> 5 </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> 7 </td> <td> 0.05% Bezafibrate </td> <td> 5 </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> 8 </td> <td> AOM </td> <td> 5 </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> 9 </td> <td> DSS </td> <td> 6 </td> <td> 0/6 (0%) </td> <td> 0/6 (0%) </td> <td> 0/6 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> 10 </td> <td> None </td> <td> 5 </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0/5 (0%) </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> </tr> </tbody> </table> </body> </html>

train

445,380

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Group no. </b> </td> <td> <b> Treatment </b> </td> <td colspan="4"> <b> Incidence (%) </b> </td> <td colspan="4"> <b> Multiplicity (no. of lesions / mouse, means ± SD) </b> </td> </tr> <tr> <td> </td> <td> </td> <td> <b> Mucosal ulcer </b> </td> <td> <b> Total dysplasia </b> </td> <td colspan="2"> <b> Dysplasia with: </b> </td> <td> <b> Mucosal ulcer </b> </td> <td> <b> Total dysplasia </b> </td> <td colspan="2"> <b> Dysplasia with: </b> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> <b> Mild atypia </b> </td> <td> <b> Severe atypia </b> </td> <td> </td> <td> </td> <td> <b> Mild atypia </b> </td> <td> <b> Severe atypia </b> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> AOM/DSS </td> <td> 40% </td> <td> 90% </td> <td> 80% </td> <td> 50% </td> <td> 0.5 ± 0.7 </td> <td> 3.2 ± 1.5 </td> <td> 1.4 ± 1.0 </td> <td> 1.1 ± 1.3 </td> </tr> <tr> <td> 2 </td> <td> AOM/DSS/0.04% Nimesulide </td> <td> 10% </td> <td> 90% </td> <td> 80% </td> <td> 50% </td> <td> 0.1 ± 0.3 </td> <td> 2.2 ± 2.3 </td> <td> 1.2 ± 0.9 </td> <td> 0.6 ± 0.7 </td> </tr> <tr> <td> 3 </td> <td> AOM/DSS/0.05% Troglitazone </td> <td> 20% </td> <td> 90% </td> <td> 50% </td> <td> 30% </td> <td> 0.3 ± 0.7 </td> <td> 2.1 ± 2.2 </td> <td> 0.7 ± 0.8 </td> <td> 0.8 ± 1.6 </td> </tr> <tr> <td> 4 </td> <td> AOM/DSS/0.05% Bezafibrate </td> <td> 30% </td> <td> 80% </td> <td> 60% </td> <td> 20% </td> <td> 0.4 ± 0.7 </td> <td> 1.9 ± 1.8 </td> <td> 0.9 ± 1.0 </td> <td> 0.4 ± 0.8 </td> </tr> </tbody> </table> </body> </html>

train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> Patients With Cardiovascular Event (N = 60) </b> </td> <td> <b> Patients Without Cardiovascular Event (N = 240) </b> </td> <td> <b> p-value </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Male </b> , n (%) </td> <td> 51 (85) </td> <td> 206 (85.8) </td> <td> 0.9 </td> </tr> <tr> <td> <b> Age </b> (y) mean ± SD </td> <td> 57.5 ± 7.7 </td> <td> 58.0 ± 7.2 </td> <td> 0.7 </td> </tr> <tr> <td> <b> Body mass index </b> (kg/m <sup> 2 </sup> ) mean ± SD </td> <td> 27.0 ± 5.7 </td> <td> 27.2 ± 3.5 </td> <td> 0.6 </td> </tr> <tr> <td> <b> School education </b> <10 yrs, n (%) </td> <td> 46 (76.7) </td> <td> 165 (68.7) </td> <td> 0.8 </td> </tr> <tr> <td> <b> Daily alcohol consumption </b> , n (%) </td> <td> 18 (30) </td> <td> 71 (29.6) </td> <td> 0.9 </td> </tr> <tr> <td> <b> Smoking status: </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Current, n (%) </td> <td> 1 (1.7) </td> <td> 25 (10.4) </td> <td> </td> </tr> <tr> <td> Past, n (%) </td> <td> 41 (68.3) </td> <td> 158 (65.8) </td> <td> </td> </tr> <tr> <td> Never, n (%) </td> <td> 18 (30) </td> <td> 57 (23.8) </td> <td> 0.07 <sup> a </sup> </td> </tr> <tr> <td> <b> History of: </b> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Dyslipidemia, n (%) </td> <td> 37 (61.7) </td> <td> 167 (69.6) </td> <td> 0.2 </td> </tr> <tr> <td> Hypertension, n (%) </td> <td> 36 (60) </td> <td> 138 (57.5) </td> <td> 0.7 </td> </tr> <tr> <td> Diabetes, n (%) </td> <td> 9 (15) </td> <td> 32 (13.3) </td> <td> 0.7 </td> </tr> <tr> <td> <b> Prior myocardial infarction </b> , n (%) </td> <td> 40 (66.7) </td> <td> 144 (60.3) </td> <td> 0.4 </td> </tr> </tbody> </table> </body> </html>

train

115,897

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train

37,922

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="2"> <b> IL-1 RA and CMV serostatus </b> </td> <td> </td> </tr> <tr> <td> </td> <td> <b> - Il-1RN*2 and CMV-positive </b> </td> <td> <b> Others </b> </td> <td> <b> p-value </b> </td> </tr> </thead> <tbody> <tr> <td> - CRP [mg/L] <sup> c </sup> </td> <td> 0.92 </td> <td> 1.58 </td> <td> 0.5 </td> </tr> <tr> <td> - SAA [mg/L] <sup> c </sup> </td> <td> 3.04 </td> <td> 3.52 </td> <td> 0.5 </td> </tr> <tr> <td> - Il-6 [pg/mL] <sup> c </sup> </td> <td> 2.19 </td> <td> 2.43 </td> <td> 0.6 </td> </tr> <tr> <td> - TNF-α [pg/mL ] <sup> c </sup> </td> <td> 2.37 </td> <td> 2.53 </td> <td> 0.6 </td> </tr> <tr> <td> - ICAM-1 [ng/mL] </td> <td> 456.6 </td> <td> 537.1 </td> <td> 0.08 </td> </tr> </tbody> </table> </body> </html>

train

463,667

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Category </b> </td> <td> <b> Definition </b> </td> </tr> </thead> <tbody> <tr> <td> Nonsense </td> <td> Single nucleotide substitution creates a stop codon in the open reading frame. </td> </tr> <tr> <td> Splicing </td> <td> Nucleotide substitution, deletion or insertion in consensus splice site. </td> </tr> <tr> <td> Frame-shifting insertion or deletion </td> <td> Deletion or insertion of nucleotides in the open reading frame – total number not divisible by three. </td> </tr> <tr> <td> In-frame insertion or deletion </td> <td> Deletion or insertion of nucleotides in the open reading frame – total number divisible by three. </td> </tr> <tr> <td> Missense </td> <td> Single nucleotide substitution changes one amino acid codon to another in the open reading frame. </td> </tr> <tr> <td> Run-on </td> <td> Nucleotide substitution, insertion or deletion changes the termination codon to an amino acid codon. Translation is predicted to continue into the 3'UTR. </td> </tr> </tbody> </table> </body> </html>

train

27,339

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train

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Organism </b> </td> <td> <b> Number Variable Amplicons </b> </td> <td> <b> No. Combinations of Amplicon X Unique Fragment Length Distributions </b> </td> <td> <b> No. Haplo-types </b> </td> <td> <b> No. Unresolved clusters </b> </td> <td> <b> Min. No. Assays </b> </td> </tr> </thead> <tbody> <tr> <td> Mumps </td> <td> 0 </td> <td> 0 </td> <td> 0 </td> <td> 1 </td> <td> NA </td> </tr> <tr> <td> SARS </td> <td> 39 </td> <td> 178 </td> <td> 51 </td> <td> 26 </td> <td> 31 </td> </tr> </tbody> </table> </body> </html>

train

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train

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="2"> <b> Pulmonary </b> </td> <td colspan="2"> <b> Hepatic </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Laboratory test </b> <b> Normal values </b> </td> <td> Definite/probable(N = 9) </td> <td> Possible(N = 2) </td> <td> Definite/probable(N = 11) </td> <td> Possible(N = 16) </td> </tr> <tr> <td> Hemoglobin135 – 175 g/L </td> <td> 120(112–133) </td> <td> 114.5(113–116) </td> <td> 123.7 (96–180) </td> <td> 124 (93–161) </td> </tr> <tr> <td> White blood cell count4–11 × 10 <sup> 9 </sup> /L </td> <td> 10(6.4–18) </td> <td> 9.7(9.6–9.8) </td> <td> 8.7 (4.3–14.5) </td> <td> 8.26 (3.8 – 14) </td> </tr> <tr> <td> Eosinophilia>= 0.1 × 10 <sup> 3 </sup> /L </td> <td> 2(0.1–7) </td> <td> 1.95(0.3–3.6) </td> <td> 1.8 (0 .1–6) </td> <td> 1.5 (0 .1 – 4.7) </td> </tr> <tr> <td> ESR0–20 mm/hr </td> <td> 28.5(10 – 47) </td> <td> 30.5(28–33) </td> <td> 32.6 (18–47) </td> <td> 23 (11–35) </td> </tr> <tr> <td> AST<40 U/L </td> <td> 30.4 (14–49) </td> <td> 25.5(22–29) </td> <td> 32 (12–59) </td> <td> 63 (14 – 432) </td> </tr> <tr> <td> Alkaline Phosphatase30–130 u/L </td> <td> 122.3(48 – 231) </td> <td> 137(123–152) </td> <td> 141 (62 – 461) </td> <td> 168 (41 – 892) </td> </tr> <tr> <td> Total Bilirubin3.4–17.1 umol/l </td> <td> 11(4–27) </td> <td> 4.5(2–7) </td> <td> 15.7 (4–32) </td> <td> 24.4 (3.3 – 98) </td> </tr> <tr> <td> ELISA(positives/ number tested) </td> <td> 3/7 </td> <td> 0/2 </td> <td> 3/5 </td> <td> 0/5 </td> </tr> </tbody> </table> </body> </html>

train

315,414

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> Definite/probable hepatic (N = 4) </b> </td> <td> <b> Possible hepatic (n = 8) </b> </td> <td> <b> Possible kidney (N = 1) </b> </td> <td> <b> Probable splenic (N = 1) </b> </td> <td> <b> Possible splenic (N = 1) </b> </td> </tr> </thead> <tbody> <tr> <td> CL </td> <td> - </td> <td> - </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> CE1 </td> <td> - </td> <td> 3 </td> <td> 1 </td> <td> - </td> <td> - </td> </tr> <tr> <td> CE2 </td> <td> 1 </td> <td> 2 </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> CE3 </td> <td> - </td> <td> - </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> CE4 </td> <td> 3 </td> <td> - </td> <td> - </td> <td> 1 </td> <td> 1 </td> </tr> <tr> <td> CE5 </td> <td> - </td> <td> 3 </td> <td> - </td> <td> - </td> <td> - </td> </tr> </tbody> </table> </body> </html>

train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Primary diagnosis </b> </td> <td> <b> Positive cultures (n = 35) </b> </td> <td> <b> Negative cultures (n = 296) </b> </td> <td> <b> Total (n = 331) </b> </td> <td> <b> P-value* </b> </td> </tr> </thead> <tbody> <tr> <td> No focus/virus </td> <td> 6 (17) </td> <td> 55 (18) </td> <td> 61 (18%) </td> <td> 1.0 </td> </tr> <tr> <td> Non-infective </td> <td> 4 (11) </td> <td> 70 (23) </td> <td> 69 (22%) </td> <td> 0.1 </td> </tr> <tr> <td> Soft tissue </td> <td> 1 (3) </td> <td> 35 (11) </td> <td> 31 (10%) </td> <td> 0.1 </td> </tr> <tr> <td> Bone/joint </td> <td> 1 (3) </td> <td> 11 (4) </td> <td> 12 (4%) </td> <td> 1.0 </td> </tr> <tr> <td> Respiratory </td> <td> 5 (14) </td> <td> 55 (20) </td> <td> 60 (19%) </td> <td> 0.6 </td> </tr> <tr> <td> Gastrointestinal </td> <td> 4 (11) </td> <td> 38 (13) </td> <td> 40 (13%) </td> <td> 1.0 </td> </tr> <tr> <td> Genitourinary </td> <td> 9 (26) </td> <td> 26 (9) </td> <td> 33 (11%) </td> <td> < 0.01 </td> </tr> <tr> <td> Vascular </td> <td> 4 (11) </td> <td> 5 (2) </td> <td> 9 (3%) </td> <td> < 0.01 </td> </tr> <tr> <td> Central nervous system </td> <td> 1 (3) </td> <td> 1 </td> <td> 2 (1%) </td> <td> 0.2 </td> </tr> </tbody> </table> </body> </html>

train

194,548

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Location </b> </td> <td> <b> Time Period </b> </td> <td> <b> No. of Cases </b> </td> <td> <b> Prevalence of PS38 </b> </td> <td> <b> Antibiotic Susceptibility </b> </td> <td> <b> Patient Age Group </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Cairo, Egypt [29] </b> </td> <td> Late 1970s </td> <td> 3 </td> <td> 2.3% </td> <td> NP </td> <td> Infants, Children, adults </td> </tr> <tr> <td> <b> South Africa [27] </b> </td> <td> 1979–1986 </td> <td> 2 </td> <td> 0.2% </td> <td> Pan-sensitive </td> <td> NP </td> </tr> <tr> <td> <b> São Paulo, Brazil [30] </b> </td> <td> 1977–1988 </td> <td> 13 </td> <td> 1.3% </td> <td> NP </td> <td> Children, adults, elderly </td> </tr> <tr> <td> <b> Southern India [31] </b> </td> <td> 1992–1993 </td> <td> 1 </td> <td> 5.6% </td> <td> NP </td> <td> Children </td> </tr> <tr> <td> <b> Netherlands [28] </b> </td> <td> 1994 </td> <td> 3 </td> <td> 2.0% </td> <td> Penicillin-susceptible </td> <td> NP </td> </tr> </tbody> </table> </body> </html>

train

440,473

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Strains </b> </td> <td> <b> SC glucose </b> </td> <td> <b> SC galactose </b> </td> </tr> </thead> <tbody> <tr> <td> <b> YPH499 </b> </td> <td> 2.18 </td> <td> 3.11 </td> </tr> <tr> <td> <b> YL09-00 </b> </td> <td> 2.11 </td> <td> 2.99 </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> 2.20 </td> <td> 3.85 </td> </tr> <tr> <td> <b> YPH499 </b> </td> <td> 2.62 </td> <td> 3.75 </td> </tr> <tr> <td> <b> YL10-04 </b> </td> <td> 7.70 </td> <td> 139 </td> </tr> <tr> <td> <b> YL10-05 </b> </td> <td> 5.64 </td> <td> 49.5 </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> 2.22 </td> <td> 3.55 </td> </tr> <tr> <td> <b> YPH500 </b> </td> <td> 2.27 </td> <td> 5.54 </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> 2.95 </td> <td> 63.0 </td> </tr> <tr> <td> <b> YPH499 </b> </td> <td> 1.90 </td> <td> 3.25 </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> 2.96 </td> <td> 105 </td> </tr> <tr> <td> <b> YL10-02 </b> </td> <td> 2.75 </td> <td> 431 </td> </tr> <tr> <td> <b> YL10-03 </b> </td> <td> 1.83 </td> <td> 3.17 </td> </tr> <tr> <td> <b> YL03-47 </b> </td> <td> 2.27 </td> <td> 3.25 </td> </tr> </tbody> </table> </body> </html>

train

522,125

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td colspan="3"> <b> Glucose </b> </td> <td colspan="3"> <b> Sucrose </b> </td> </tr> <tr> <td> </td> <td> <b> RT </b> </td> <td> <b> 30°C </b> </td> <td> <b> 37°C </b> </td> <td> <b> RT </b> </td> <td> <b> 30°C </b> </td> <td> <b> 37°C </b> </td> </tr> </thead> <tbody> <tr> <td> <b> YPH499 </b> </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> +++++ </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> +++++ </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> +++++ </td> <td> +++ </td> <td> +++ </td> <td> ++ </td> <td> ++++ </td> <td> ++ </td> </tr> <tr> <td> <b> YL10-02 </b> </td> <td> +++++ </td> <td> +++ </td> <td> +++ </td> <td> ++ </td> <td> ++++ </td> <td> ++ </td> </tr> <tr> <td> <b> YL10-03 </b> </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> +++++ </td> </tr> <tr> <td> <b> YL03-47 </b> </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> ++++ </td> <td> +++++ </td> <td> +++++ </td> </tr> <tr> <td> </td> <td colspan="3"> <b> Raffinose </b> </td> <td colspan="3"> <b> Galactose </b> </td> </tr> <tr> <td> </td> <td> <b> RT </b> </td> <td> <b> 30°C </b> </td> <td> <b> 37°C </b> </td> <td> <b> RT </b> </td> <td> <b> 30°C </b> </td> <td> <b> 37°C </b> </td> </tr> <tr> <td> <b> YPH499 </b> </td> <td> +++ </td> <td> +++++ </td> <td> +++ </td> <td> ++ </td> <td> +++++ </td> <td> ++ </td> </tr> <tr> <td> <b> YL09-01 </b> </td> <td> +++ </td> <td> +++++ </td> <td> +++ </td> <td> ++ </td> <td> +++++ </td> <td> ++ </td> </tr> <tr> <td> <b> YL10-01 </b> </td> <td> + </td> <td> ++ </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> <b> YL10-02 </b> </td> <td> + </td> <td> ++ </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> <b> YL10-03 </b> </td> <td> +++ </td> <td> +++++ </td> <td> +++ </td> <td> ++ </td> <td> +++++ </td> <td> ++ </td> </tr> <tr> <td> <b> YL03-47 </b> </td> <td> +++ </td> <td> +++++ </td> <td> +++ </td> <td> ++ </td> <td> +++++ </td> <td> ++ </td> </tr> </tbody> </table> </body> </html>

train

94,931

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Variable </b> </td> <td> <b> FGIDn = 141 </b> </td> <td> <b> SSFn = 97 </b> </td> <td> <b> P </b> </td> </tr> </thead> <tbody> <tr> <td> AGE </td> <td> 45.7 (14) </td> <td> 52.4 (15) </td> <td> <b> not relevant </b> </td> </tr> <tr> <td> SEX (female %) </td> <td> 66 </td> <td> 53 </td> <td> <b> 0.026 *** </b> </td> </tr> <tr> <td> BMI </td> <td> 26.3 (4.7) </td> <td> 26.2 (4.2) </td> <td> <b> Ns * </b> </td> </tr> <tr> <td> Education </td> <td> 3 (2–4) </td> <td> 3 (1–4) </td> <td> <b> Ns ** </b> </td> </tr> <tr> <td> Medical knowledge </td> <td> 10 (4–15) </td> <td> 11 (5–15) </td> <td> <b> Ns ** </b> </td> </tr> <tr> <td> GI sympt severity </td> <td> 4 (3–5) </td> <td> 0 (0–0) </td> <td> <b> <0.0005 ** </b> </td> </tr> <tr> <td> GI Consultation (ever) </td> <td> 72% </td> <td> 8% </td> <td> <b> <0.0005 *** </b> </td> </tr> <tr> <td> Pain medicine (3 month) </td> <td> 77% </td> <td> 34% </td> <td> <b> <0.0005 *** </b> </td> </tr> <tr> <td> GI medicine (3 month) </td> <td> 32% </td> <td> 1% </td> <td> <b> <0.0005 *** </b> </td> </tr> <tr> <td> Previous PUD (ever) </td> <td> 12% </td> <td> 1% </td> <td> <b> 0.006 *** </b> </td> </tr> <tr> <td> Coffee </td> <td> 2 (2–3) </td> <td> 2 (2–3) </td> <td> <b> Ns ** </b> </td> </tr> <tr> <td> Alcohol </td> <td> 4 (3–4) </td> <td> 3 (2–4) </td> <td> <b> Ns ** </b> </td> </tr> <tr> <td> Smoking </td> <td> 1 (1–2) </td> <td> 1 (1–2) </td> <td> <b> Ns ** </b> </td> </tr> </tbody> </table> </body> </html>

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> I </b> </td> <td> <b> II </b> </td> <td> <b> III </b> </td> <td> <b> IV </b> </td> <td> <b> V </b> </td> </tr> </thead> <tbody> <tr> <td> Symptom </td> <td> OR (CI) by Models adjusted for sex and age </td> <td> OR (CI) by Models adjusted for sex, age, alcohol, pain tablets, GI-tablets </td> <td> FACTOR </td> <td> OR (CI) by Models adjusted for sex and age </td> <td> OR (CI) by a main effect model adjusted for sex and age </td> </tr> <tr> <td> <b> SSF </b> (all variables) </td> <td> 1 (Reference) </td> <td> 1 (Reference) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <b> FGID </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Cries easily </td> <td> 6.7 (2.3–19.9) </td> <td> 9.8 (2.0–47) </td> <td> A </td> <td> 8.0 (4.1–15.8) <sup> 1) Psychological illness </sup> </td> <td> 8.4 (4.0–17.5) <sup> 1) Psychological illness </sup> </td> </tr> <tr> <td> Sleeping disturbance </td> <td> 6.2 (2.7–14.0) </td> <td> 3.2 (1.3–8) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> General fatigue </td> <td> 14.5 (7.4–28.7) </td> <td> 12.6 (5.3–30) </td> <td> A, D </td> <td> </td> <td> </td> </tr> <tr> <td> Irritability </td> <td> 8.8 (4.1–17.8) </td> <td> 5.6 (2.3 – 13.7) </td> <td> A, D </td> <td> </td> <td> </td> </tr> <tr> <td> Nervousness </td> <td> 18.4 (4.2–80.3) </td> <td> 14.3 (2.8 – 72) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Impaired concentration </td> <td> 19.0 (5.7–63.8) </td> <td> 15.3 (4.0 – 58) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Difficulty to relax </td> <td> 15.7 (6.0–41.5) </td> <td> 10.9 (3.7–32) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Restlessness </td> <td> 40.0 (9.4–170) </td> <td> 32.2 (6.7–154) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Depression </td> <td> 8.6 (4.1–18) </td> <td> 4.7 (2.0 – 11) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Exhaustion </td> <td> 12.7 (4.4–37) </td> <td> 9.1 (2.7–30) </td> <td> A </td> <td> </td> <td> </td> </tr> <tr> <td> Chest pain </td> <td> 40.0 (5.3–300) </td> <td> </td> <td> B </td> <td> 3.7 (2.0–7.1) <sup> 1) Somaticillness </sup> </td> <td> 2.8 (1.3–5.7) <sup> 1) Somaticillness </sup> </td> </tr> <tr> <td> Pain in the joints </td> <td> 6.2 (2.8–13.6) </td> <td> 7.5 (2.6–21) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Pain in the legs </td> <td> 4.4 (2.2–8.9) </td> <td> 3.8 (1.6–9.3) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Overweight </td> <td> 2.0 (1.0–4.0) </td> <td> 1.4 (0.6–3.6) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Breathlessness </td> <td> 8.9 (3.2–25) </td> <td> 12.1 (3.3–45) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Dizziness </td> <td> 10.1 (4.2–24) </td> <td> 11.4 (3.8–34) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Impaired hearing </td> <td> 3.0 (1.3–6.8) </td> <td> 3.1 (1.0–9.5) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Eye problem </td> <td> 4.2 (1.9–9.1) </td> <td> 3.4 (1.3–9.0) </td> <td> B </td> <td> </td> <td> </td> </tr> <tr> <td> Loss of weight </td> <td> - </td> <td> - </td> <td> C </td> <td> 1.7 (0.9–3.0) <sup> 1) Miscellaneous </sup> </td> <td> </td> </tr> <tr> <td> Bad appetite </td> <td> - </td> <td> - </td> <td> C </td> <td> </td> <td> </td> </tr> <tr> <td> Feeling cold </td> <td> 7.3 (3.1–17) </td> <td> 7.0 (2.6–19) </td> <td> C </td> <td> </td> <td> </td> </tr> <tr> <td> Difficulty in passing urine </td> <td> 9.6 (2.0–47) </td> <td> 9.1 (1.4–59) </td> <td> C </td> <td> </td> <td> </td> </tr> <tr> <td> Back ache </td> <td> 4.4 (2.4–8.2) </td> <td> 2.0 (0.9–4.3) </td> <td> D </td> <td> 2.9 (1.6–5.2) <sup> 1) Ache/fatigue </sup> </td> <td> 4.3 (2.1–8.7) <sup> 1) Ache/fatigue </sup> </td> </tr> <tr> <td> Headache </td> <td> 6.3 (3.4–12) </td> <td> 4.1 (1.9 – 9.1) </td> <td> D </td> <td> </td> <td> </td> </tr> <tr> <td> Sweating </td> <td> 3.6 (1.7 – 7.4) </td> <td> 3.3 (1.3 – 8.5) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Coughing </td> <td> 2.0 (0.98–4.2) </td> <td> 1.7 (0.6–4.4) </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>

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train

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train

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train

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> No. </b> </td> <td> <b> Year of Kawasaki disease </b> </td> <td> <b> PET scan result </b> </td> <td> <b> Date of PET scan </b> </td> </tr> </thead> <tbody> <tr> <td> 1 </td> <td> 1997 </td> <td> Diffusely reduced uptake in occipital lobes and cerebellum </td> <td> 24/6/99 </td> </tr> <tr> <td> 2 </td> <td> 1999 </td> <td> Normal </td> <td> 20/9/00 </td> </tr> <tr> <td> 3 </td> <td> 1999 </td> <td> Asymmetry in occipital region lower on R side </td> <td> 20/3/00 </td> </tr> <tr> <td> 4 </td> <td> 1995 </td> <td> Normal </td> <td> 27/5/99 </td> </tr> <tr> <td> 5 </td> <td> 1997 </td> <td> Normal </td> <td> 20/5/99 </td> </tr> <tr> <td> 6 </td> <td> 1999 </td> <td> Slight reduction in posterior parietal and occipital lobes symmetrically. </td> <td> 28/10/99 </td> </tr> <tr> <td> 7 </td> <td> 1997 </td> <td> Normal </td> <td> 7/7/99 </td> </tr> </tbody> </table> </body> </html>

train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Symptom </b> </td> <td> <b> Prevalence among episodes </b> </td> <td> <b> Percentage </b> </td> </tr> </thead> <tbody> <tr> <td> Pain in </td> <td> </td> <td> </td> </tr> <tr> <td> Upper arms </td> <td> 12 </td> <td> 10.62 </td> </tr> <tr> <td> Legs </td> <td> 83 </td> <td> 73.45 </td> </tr> <tr> <td> Genitals </td> <td> 29 </td> <td> 20.00 </td> </tr> <tr> <td> Breasts </td> <td> 1 </td> <td> 0.88 </td> </tr> <tr> <td> Tenderness in </td> <td> </td> <td> </td> </tr> <tr> <td> Upper arms </td> <td> 10 </td> <td> 8.85 </td> </tr> <tr> <td> Legs </td> <td> 13 </td> <td> 11.50 </td> </tr> <tr> <td> Genitals </td> <td> 24 </td> <td> 21.24 </td> </tr> <tr> <td> Lymphangitis in </td> <td> </td> <td> </td> </tr> <tr> <td> Left inguinal region </td> <td> 34 </td> <td> 30.09 </td> </tr> <tr> <td> Right inguinal region </td> <td> 38 </td> <td> 33.63 </td> </tr> <tr> <td> Left papillary </td> <td> 3 </td> <td> 2.65 </td> </tr> <tr> <td> Right papillary </td> <td> 3 </td> <td> 2.65 </td> </tr> <tr> <td> Swelling </td> <td> 92 </td> <td> 81.42 </td> </tr> <tr> <td> Fever </td> <td> </td> <td> </td> </tr> <tr> <td> High </td> <td> 61 </td> <td> 53.98 </td> </tr> <tr> <td> Low </td> <td> 27 </td> <td> 23.89 </td> </tr> <tr> <td> Anorexia </td> <td> 72 </td> <td> 63.72 </td> </tr> <tr> <td> Nausea </td> <td> 61 </td> <td> 53.98 </td> </tr> <tr> <td> Vomiting </td> <td> 32 </td> <td> 28.32 </td> </tr> <tr> <td> Microfilaraemiae </td> <td> 13 </td> <td> 11.50 <sup> a </sup> </td> </tr> </tbody> </table> </body> </html>

train

13,132

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Complication </b> </td> <td> <b> Drain group </b> </td> <td> <b> Non drain group </b> </td> </tr> </thead> <tbody> <tr> <td> Swelling </td> <td> 3 </td> <td> 3 </td> </tr> <tr> <td> Tetany </td> <td> 0 </td> <td> 2 </td> </tr> <tr> <td> Tingling </td> <td> 1 </td> <td> 2 </td> </tr> <tr> <td> Infection </td> <td> 1 </td> <td> 1 </td> </tr> </tbody> </table> </body> </html>

train

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train

187,203

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train

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train

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train

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train

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train

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Disease </b> </td> <td> <b> Atopic Dermatitis </b> </td> <td> <b> Allergic Rhinitis and Asthma </b> </td> <td> <b> Insect Allergy </b> </td> </tr> <tr> <td> <b> Allergen </b> </td> <td> <b> (n = 113) </b> </td> <td> <b> (n = 132) </b> </td> <td> <b> (n = 314) </b> </td> </tr> </thead> <tbody> <tr> <td> Der p 1 and f 1 </td> <td> 26 (23.0%) </td> <td> 39 (29.5%) </td> <td> -- </td> </tr> <tr> <td> Bet v 1 </td> <td> 27 (23.9%) </td> <td> 43 (32.6%) </td> <td> -- </td> </tr> <tr> <td> Phl p 1 </td> <td> 24 (21.2%) </td> <td> 40 (30.3%) </td> <td> -- </td> </tr> <tr> <td> Fel d 1 </td> <td> 22 (19.5%) </td> <td> 23 (17.4%) </td> <td> -- </td> </tr> <tr> <td> Wasp </td> <td> -- </td> <td> -- </td> <td> 288 (91.7%) </td> </tr> <tr> <td> Bee </td> <td> -- </td> <td> -- </td> <td> 26 (8.3%) </td> </tr> </tbody> </table> </body> </html>

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Reference </b> </td> <td> <b> Participants </b> </td> <td> <b> Quinine: routes of administration and doses* </b> </td> <td> <b> Outcomes </b> </td> </tr> </thead> <tbody> <tr> <td> [20] </td> <td> 21 children aged 2 to 14 years in Niger </td> <td> (1) Intrarectal (8 mg/kg; gluconate cream)(2) Intramuscular (4.7 mg/kg)(3) Intravenous (4.7 mg/kg)All 8 hourly for 3 days </td> <td> Death, parasite clearance by day 7, adverse events </td> </tr> <tr> <td> [24] </td> <td> 66 children aged 2 to 15 years in Niger </td> <td> (1) Intrarectal (11.8 mg/kg; given as Quinimax <sup> ® </sup> diluted with water in a syringe)(2) Intravenous (7.4 mg/kg)(3) Intramuscular (7.4 mg/kg)All 12 hourly for 3 days </td> <td> Death, parasite clearance time, parasite clearance by day 7, fever clearance time, adverse events </td> </tr> <tr> <td> [25] </td> <td> 77 children aged 2 to 15 years in Niger </td> <td> (1) Intrarectal (11.8 mg/kg once then 8.8 mg/kg 8 hourly for 2 days; Quinimax <sup> ® </sup> solution diluted in water via a syringe)(2) Intravenous (4.7 mg/kg 8 hourly for 2 days) </td> <td> Death, parasite clearance time, fever clearance time, days in hospital, coma recovery time, time until drinking began, adverse events </td> </tr> <tr> <td> [26] </td> <td> 48 children aged 2 to 15 years in Burkina Faso </td> <td> (1) Intrarectal (bichlorhydrate diluted in a syringe)(2) Intrarectal (cinchona alkaloid diluted in a syringe)(3) Intravenous (bichlorhydrate)(4) Intravenous (cinchona alkaloid)All 8 mg/kg quinine 8 hourly for 2 days </td> <td> Parasite clearance by 48 hours and 7 days </td> </tr> <tr> <td> [27] </td> <td> 15 children aged 2 to 14 years in Niger </td> <td> (1) Intravenous (4.74 mg/kg)(2) Intramuscular (4.74 mg/kg)(3) Intrarectal (11.85 mg/kg)All single dose </td> <td> Death, parasite clearance by day 7, adverse events </td> </tr> <tr> <td> [28] </td> <td> 64 children aged 0 to 15 years in Togo </td> <td> (1) Intrarectal (15 mg/kg: Quinimax <sup> ® </sup> solution diluted in a syringe)(2) Intramuscular (12.5 mg/kg) Both 12 hourly for 3 days </td> <td> Death, parasite clearance by day 2, adverse events </td> </tr> <tr> <td> [29] </td> <td> 58 children aged 2 to 15 years in Niger </td> <td> (1) Intrarectal (17.9 mg/kg once, then 11.75 mg/kg 12 hourly; Quinimax <sup> ® </sup> diluted in a syringe(2) Intramuscular (7.5 mg/kg 12 hourly) </td> <td> Death, fever clearance time, duration of hospitalization, coma recovery time </td> </tr> <tr> <td> [30] </td> <td> 898 children aged 1 to 15 in Burkina Faso </td> <td> (1) Intrarectal (20 mg/kg; Quinimax <sup> ® </sup> diluted in a syringe)(2) Intramuscular (12.5 mg/kg) Both 12 hourly for 3 days </td> <td> Death, fever clearance time, adverse events </td> </tr> </tbody> </table> </body> </html>

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train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> NSCLC cell line </b> </td> <td> <b> Cisplatin IC <sub> 50 </sub> (μM) </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Group 1 <sup> <i> b </i> </sup> </b> </td> <td> NCI-H460 </td> <td> 0.52 ± 0.04 </td> </tr> <tr> <td> </td> <td> NCI-H1155 </td> <td> 0.90 ± 0.20 </td> </tr> <tr> <td> </td> <td> NCI-H23 </td> <td> 2.09 ± 0.32 </td> </tr> <tr> <td> </td> <td> NCI-H838 </td> <td> 3.86 ± 0.31 </td> </tr> <tr> <td> </td> <td> NCI-H1334 </td> <td> 5.15 ± 0.47 </td> </tr> <tr> <td> </td> <td> NCI-H1437 </td> <td> 5.90 ± 1.61 </td> </tr> <tr> <td> </td> <td> NCI-H1355 </td> <td> 6.74 ± 1.29 </td> </tr> <tr> <td> </td> <td> NCI-H1435 </td> <td> 22.86 ± 2.36 </td> </tr> <tr> <td> <b> Group 2 <sup> <i> c </i> </sup> </b> </td> <td> NCI-H358 </td> <td> 1.16 ± 0.24 </td> </tr> <tr> <td> </td> <td> NCI-H322 </td> <td> 2.85 ± 0.22 </td> </tr> <tr> <td> </td> <td> NCI-H441 </td> <td> 3.38 ± 0.99 </td> </tr> <tr> <td> </td> <td> NCI-H522 </td> <td> 3.53 ± 0.56 </td> </tr> <tr> <td> </td> <td> NCI-H226 </td> <td> 5.05 ± 0.95 </td> </tr> <tr> <td> </td> <td> NCI-H647 </td> <td> 7.27 ± 1.14 </td> </tr> </tbody> </table> </body> </html>

train

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<html> <head> <meta charset="utf-8"/> <style> table, th, td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> Diet group (n = 60) </b> </td> <td> <b> Control group (n = 42) </b> </td> </tr> </thead> <tbody> <tr> <td> Age (years) </td> <td> 54.5 (33–73) </td> <td> 57.0 (35–75) </td> </tr> <tr> <td> Gender (M/F)* </td> <td> 11/49 </td> <td> 7/35 </td> </tr> <tr> <td> Weight (kg) </td> <td> 72.1 (40–109) </td> <td> 69.4 (41–102) </td> </tr> <tr> <td> Disease duration (years) </td> <td> 13.0 (0.5–59) </td> <td> 11.9 (2–35) </td> </tr> </tbody> </table> </body> </html>

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