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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<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> Parameter for infants </b> </td> <td colspan="2"> <b> Biological Mothers </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> Normal weight </td> <td> Obese </td> </tr> <tr> <td> Body weight (kg) </td> <td> 7.4 ± 0.6 </td> <td> 7.4 ± 1.1 </td> </tr> <tr> <td> Length (cm) </td> <td> 69 ± 6 </td> <td> 69 ± 0.9 </td> </tr> <tr> <td> Age (months) </td> <td> 4.7 ± 0.1 </td> <td> 5.1 ± 1.0 </td> </tr> <tr> <td> BMI (weight;kg/height <sup> 2; </sup> m) </td> <td> 15.6 ± 1.4 </td> <td> 15.8 ± 1.9 </td> </tr> <tr> <td> Body fat (%) </td> <td> 26 ± 2 </td> <td> 26 ± 3 </td> </tr> <tr> <td> Weight for length (percentile) </td> <td> 27 ± 23 </td> <td> 31 ± 30 </td> </tr> <tr> <td> Weight for length Z-score </td> <td> -0.1 ± 0.9 </td> <td> 0.07 ± 1.20 </td> </tr> <tr> <td> Weight for age (percentile) </td> <td> 72 ± 20 </td> <td> 73 ± 17 </td> </tr> <tr> <td> Weight for age Z-score </td> <td> -0.02 ± 1.20 </td> <td> 0.02 ± 1.00 </td> </tr> <tr> <td> Length for age (percentile) </td> <td> 73 ± 23 </td> <td> 89 ± 9 </td> </tr> <tr> <td> Length for age Z-score </td> <td> -0.4 ± 0.6 </td> <td> 0.39 ± 0.28 </td> </tr> </tbody> </table> </body> </html>
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black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Parameters for infants </b> </td> <td colspan="2"> <b> Biological Mothers </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> Normal weight </td> <td> Obese </td> </tr> <tr> <td> Energy intake from formula (kcal/kg) </td> <td> 68.1 ± 17.2 </td> <td> 69.1 ± 20.3 </td> </tr> <tr> <td> Energy intake from complementary foods (kcal/kg) </td> <td> 0 </td> <td> 18.3 ± 2.5 </td> </tr> <tr> <td> Total 24-h energy intake (kcal/kg body weight) <sup> 1 </sup> </td> <td> 68.1 ± 17.2 </td> <td> 87.6 ± 18.9 </td> </tr> <tr> <td> Formula intake (ml/kg body weight) </td> <td> 90.1 ± 16.3 </td> <td> 98.9 ± 35.3 </td> </tr> <tr> <td> Energy intake from CHO (kcal/kg body weight) <sup> 2 </sup> </td> <td> 16 ± 3 </td> <td> 25 ± 6* </td> </tr> <tr> <td> Energy intake from PRO (kcal/kg body weight) <sup> 3 </sup> </td> <td> 4 ± 1 </td> <td> 6 ± 3 </td> </tr> <tr> <td> Energy intake 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3 </td> </tr> <tr> <td> Total sleeping time (min) </td> <td> 682 ± 32 </td> <td> 783 ± 38* </td> </tr> </tbody> </table> </body> </html>
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</td> <td> <b> <i> Non-ruptures (%) </i> </b> </td> </tr> </thead> <tbody> <tr> <td> Race/ethnicity* </td> <td> white </td> <td> 12,056 (29%) </td> <td> 29,514 (71%) </td> </tr> <tr> <td> </td> <td> black </td> <td> 1,474 (36%) </td> <td> 2,579 (63%) </td> </tr> <tr> <td> </td> <td> Hispanic </td> <td> 5,539 (36%) </td> <td> 1,001 (64%) </td> </tr> <tr> <td> </td> <td> Asian </td> <td> 499 (36%) </td> <td> 893 (64%) </td> </tr> <tr> <td> Gender </td> <td> male </td> <td> 11,947 (31%) </td> <td> 26,247 (69%) </td> </tr> <tr> <td> </td> <td> female </td> <td> 7,613 (31%) </td> <td> 16,726 (69%) </td> </tr> <tr> <td> Age group* </td> <td> 4–8 </td> <td> 5,387 (42%) </td> <td> 7,591 (58%) </td> </tr> <tr> <td> </td> <td> 9–11 </td> <td> 4,189 (31%) </td> <td> 9,221 (69%) </td> </tr> <tr> <td> </td> <td> 12–14 </td> <td> 5,075 (31%) </td> <td> 11,444 (69%) </td> </tr> <tr> <td> </td> <td> 15–18 </td> <td> 4,918 (25%) </td> <td> 14,731 (75%) </td> </tr> <tr> <td> ZIP code median annual household income* </td> <td> $0–$24,999 </td> <td> 2,059 (38%) </td> <td> 3,399 (62%) </td> </tr> <tr> <td> </td> <td> $25,000–$34,999 </td> <td> 5,612 (33%) </td> <td> 11,573 (67%) </td> </tr> <tr> <td> </td> <td> $35,000–$44,999 </td> <td> 5,284 (30%) </td> <td> 12,097 (70%) </td> </tr> <tr> <td> </td> <td> ≥ $45,000 </td> <td> 6,309 (29%) </td> <td> 15,198 (71%) </td> </tr> <tr> <td> Expected primary payer* </td> <td> private </td> <td> 12,226 (29%) </td> <td> 29,866 (71%) </td> </tr> <tr> <td> </td> <td> public </td> <td> 5,552 (37%) </td> <td> 9,351 (63%) </td> </tr> <tr> <td> </td> <td> other </td> <td> 1,554 (33%) </td> <td> 3,179 (67%) </td> </tr> <tr> <td> Admission source* </td> <td> emergency department </td> <td> 13,068 (30%) </td> <td> 30,273 (70%) </td> </tr> <tr> <td> </td> <td> other healthcare referral </td> <td> 4,461 (35%) </td> <td> 8,281 (65%) </td> </tr> <tr> <td> </td> <td> other </td> <td> 1,097 (32%) </td> <td> 2,193 (68%) </td> </tr> <tr> <td> Hospital type* </td> <td> teaching </td> <td> 9,552 (35%) </td> <td> 18,114 (65%) </td> </tr> <tr> <td> </td> <td> other </td> <td> 10,016 (29%) </td> <td> 24,836 (71%) </td> </tr> <tr> <td> Pediatric discharge volume* </td> <td> 4–1,578 </td> <td> 4,759 (28%) </td> <td> 12,474 (72%) </td> </tr> <tr> <td> </td> <td> 1,579–3,471 </td> <td> 4,343 (28%) </td> <td> 11,213 (72%) </td> </tr> <tr> <td> </td> <td> 3,472–6,582 </td> <td> 4,320 (32%) </td> <td> 9,568 (68%) </td> </tr> <tr> <td> </td> <td> 6,583–22,785 </td> <td> 6,045 (38%) </td> <td> 9,733 (62%) </td> </tr> <tr> <td> </td> <td> </td> <td colspan="2"> <i> Means (95% CIs) </i> </td> </tr> <tr> <td> Length of stay* </td> <td> </td> <td> 5.5 (5.4–5.6) </td> <td> 2.0 (1.9–2.0) </td> </tr> <tr> <td> Total charges* </td> <td> </td> <td> $17,905 ($17,473–$18,336) </td> <td> $9,076 ($8,956–$9,198) </td> </tr> </tbody> </table> </body> </html>
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(1.87–2.18) </td> <td> 1.90 (1.76–2.06) </td> </tr> <tr> <td> </td> <td> 9–11 </td> <td> </td> <td> 1.36 (1.25–1.47) </td> <td> 1.36 (1.25–1.47) </td> <td> 1.30 (1.20–1.41) </td> </tr> <tr> <td> </td> <td> 12–14 </td> <td> </td> <td> 1.32 (1.23–1.42) </td> <td> 1.31 (1.22–1.42) </td> <td> 1.28 (1.18–1.38) </td> </tr> <tr> <td> </td> <td> 15–18 </td> <td> </td> <td> <i> ref </i> </td> <td> <i> ref </i> </td> <td> <i> ref </i> </td> </tr> <tr> <td> ZIP code median annual household income </td> <td> $0–$24,999 </td> <td> </td> <td> </td> <td> 1.15 (1.05–1.27) </td> <td> 1.13 (1.02–1.24) </td> </tr> <tr> <td> </td> <td> $25,000–$34,999 </td> <td> </td> <td> </td> <td> 1.06 (0.99–1.14) </td> <td> 1.11 (1.03–1.20) </td> </tr> <tr> <td> </td> <td> $35,000–$44,999 </td> <td> </td> <td> </td> <td> 1.00 (0.93–1.08) </td> <td> 1.04 (0.96–1.12) </td> </tr> <tr> <td> </td> <td> ≥ $45,000 </td> <td> </td> <td> </td> <td> <i> ref </i> </td> <td> <i> ref </i> </td> </tr> <tr> <td> Expected primary payer </td> <td> private </td> <td> </td> <td> </td> <td> <i> ref </i> </td> <td> <i> ref </i> </td> </tr> <tr> <td> </td> <td> public </td> <td> </td> <td> </td> <td> 1.10 (0.99–1.23) </td> <td> 1.09 (0.98–1.21) </td> </tr> <tr> <td> </td> <td> other </td> <td> </td> <td> </td> <td> 0.87 (0.78–0.97) </td> <td> 0.87 (0.78–0.96) </td> </tr> <tr> <td> Admission source </td> <td> emergency department </td> <td> </td> <td> </td> <td> <i> ref </i> </td> <td> <i> ref </i> </td> </tr> <tr> <td> </td> <td> other healthcare referral </td> <td> </td> <td> </td> <td> 1.28 (1.19–1.38) </td> <td> 1.29 (1.20–1.39) </td> </tr> <tr> <td> </td> <td> other </td> <td> </td> <td> </td> <td> 1.03 (0.93–1.14) </td> <td> 1.05 (0.95–1.16) </td> </tr> <tr> <td> Hospital type </td> <td> teaching </td> <td> </td> <td> </td> <td> </td> <td> 1.06 (0.99–1.14) </td> </tr> <tr> <td> </td> <td> other </td> <td> </td> <td> </td> <td> </td> <td> <i> ref </i> </td> </tr> <tr> <td> Pediatric discharge volume </td> <td> 4–1,578 </td> <td> </td> <td> </td> <td> </td> <td> 0.72 (0.65–0.80) </td> </tr> <tr> <td> </td> <td> 1,579–3,471 </td> <td> </td> <td> </td> <td> </td> <td> 0.73 (0.66–0.80) </td> </tr> <tr> <td> </td> <td> 3,472–6,582 </td> <td> </td> <td> </td> <td> </td> <td> 0.79 (0.73–0.86) </td> </tr> <tr> <td> </td> <td> 6,583–22,785 </td> <td> </td> <td> </td> <td> </td> <td> <i> ref </i> </td> </tr> <tr> <td> Sample size </td> <td> unweighted </td> <td> 32,784 </td> <td> 32,773 </td> <td> 30,940 </td> <td> 30,940 </td> </tr> <tr> <td> </td> <td> weighted </td> <td> 62,555 </td> <td> 62,533 </td> <td> 57,791 </td> <td> 57,791 </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> Treatment </b> </td> <td colspan="3"> <b> Total cell number × 10 <sup> 6 </sup> ± SEM </b> </td> <td colspan="3"> <b> % Neutrophils ± SEM </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> <i> Aqueous </i> </td> <td> <i> Soluble </i> </td> <td> <i> Insoluble </i> </td> <td> <i> Aqueous </i> </td> <td> <i> Soluble </i> </td> <td> <i> Insoluble </i> </td> </tr> <tr> <td> <b> Control </b> </td> <td> 2.83 ± 0.34 </td> <td> 3.85 ± 0.59 </td> <td> 3.85 ± 0.59 </td> <td> 3 ± 0.9 </td> <td> 4 ± 0.9 </td> <td> 4 ± 1.0 </td> </tr> <tr> <td> <b> Open </b> </td> <td> 3.40 ± 0.27 </td> <td> 3.02 ± 0.16 </td> <td> 4.16 ± 0.13 </td> <td> 8 ± 1.8 </td> <td> 9 ± 0.9 </td> <td> 10 ± 0.9 </td> </tr> <tr> <td> <b> Closed </b> </td> <td> 3.06 ± 0.29 </td> <td> 3.16 ± 0.18 </td> <td> 2.63 ± 0.46 </td> <td> 8 ± 1.0 </td> <td> 10 ± 0.9 </td> <td> 7 ± 1.0 </td> </tr> <tr> <td> <b> Reopened </b> </td> <td> 3.71 ± 0.38 </td> <td> 2.85 ± 0.74 </td> <td> 3.12 ± 0.17 </td> <td> 25 ± 4 </td> <td> 13 ± 1.5 </td> <td> 10 ± 1.5 </td> </tr> </tbody> </table> </body> </html>
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border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Lungs /slices </b> </td> <td> <b> Diameter [μm] </b> </td> <td> <b> Area [%] 1 </b> </td> <td> <b> Area [%] 2 </b> </td> <td> <b> Area [%] 3 </b> </td> <td> <b> Area [%] 4 </b> </td> <td> <b> p (1 vs. 3) </b> </td> <td> <b> p (2 vs. 4) </b> </td> </tr> </thead> <tbody> <tr> <td> 4/9 </td> <td> 212 ± 3 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/SKF </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 60 ± 7 </td> <td> 49 ± 7 </td> <td> 76 ± 7 </td> <td> 86 ± 3 </td> <td> </td> <td> </td> </tr> <tr> <td> 4/8 </td> <td> 193 ± 12 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/SKF/DHS </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 51 ± 5 </td> <td> 43 ± 6 </td> <td> 82 ± 6 </td> <td> 86 ± 3 </td> <td> </td> <td> </td> </tr> <tr> <td> 5/6 </td> <td> 207 ± 11 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/SKF/DMS </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 65 ± 3 </td> <td> 53 ± 6 </td> <td> 88 ± 2 </td> <td> 85 ± 8 </td> <td> </td> <td> </td> </tr> <tr> <td> 4/7 </td> <td> 180 ± 8 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/La <sup> 3+ </sup> </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 39 ± 8 </td> <td> 49 ± 12 </td> <td> 65 ± 7 </td> <td> 89 ± 2 </td> <td> </td> <td> </td> </tr> <tr> <td> 4/7 </td> <td> 211 ± 12 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/La <sup> 3+ </sup> /DHS </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 40 ± 4 </td> <td> 33 ± 3 </td> <td> 85 ± 2 </td> <td> 89 ± 2 </td> <td> </td> <td> </td> </tr> <tr> <td> 4/5 </td> <td> 210 ± 15 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/La <sup> 3+ </sup> /DMS </td> <td> p < 0.05 </td> <td> p < 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 45 ± 9 </td> <td> 38 ± 9 </td> <td> 94 ± 2 </td> <td> 95 ± 1 </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>
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<thead> <tr> <td> <b> M <sub> 3 </sub> R-wt Lungs /slices </b> </td> <td> <b> Diameter [μm] </b> </td> <td> <b> Area [%] 1 </b> </td> <td> <b> Area [%] 2 </b> </td> <td> <b> Area [%] 3 </b> </td> <td> <b> Area [%] 4 </b> </td> <td> <b> p (1 vs. 3) </b> </td> <td> <b> p (2 vs. 4) </b> </td> </tr> </thead> <tbody> <tr> <td> 6/6 </td> <td> 221 ± 10 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -6 </sup> M </td> <td> n.s. </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 53 ± 7 </td> <td> 47 ± 8 </td> <td> 75 ± 7 </td> <td> 69 ± 11 </td> <td> </td> <td> </td> </tr> <tr> <td> 8/9 </td> <td> 204 ± 10 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.01 </td> </tr> <tr> <td> </td> <td> </td> <td> 40 ± 6 </td> <td> 30 ± 6 </td> <td> 64 ± 9 </td> <td> 55 ± 6 </td> <td> </td> <td> </td> </tr> <tr> <td> 6/7 </td> <td> 203 ± 6 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -6 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 41 ± 10 </td> <td> 37 ± 8 </td> <td> 64 ± 10 </td> <td> 56 ± 8 </td> <td> </td> <td> </td> </tr> <tr> <td> 5/6 </td> <td> 197 ± 8 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 42 ± 5 </td> <td> 41 ± 10 </td> <td> 71 ± 7 </td> <td> 69 ± 9 </td> <td> </td> <td> </td> </tr> <tr> <td> M <sub> 3 </sub> R-KO </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 4/4 </td> <td> 205 ± 18 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -6 </sup> M </td> <td> n.s. </td> <td> n.s. </td> </tr> <tr> <td> </td> <td> </td> <td> 69 ± 2 </td> <td> 51 ± 4 </td> <td> 77 ± 8 </td> <td> 62 ± 12 </td> <td> </td> <td> </td> </tr> <tr> <td> 8/9 </td> <td> 188 ± 9 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 75 ± 6 </td> <td> 67 ± 6 </td> <td> 96 ± 2 </td> <td> 88 ± 4 </td> <td> </td> <td> </td> </tr> <tr> <td> 7/7 </td> <td> 202 ± 12 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -6 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 75 ± 4 </td> <td> 67 ± 6 </td> <td> 97 ± 1 </td> <td> 82 ± 4 </td> <td> </td> <td> </td> </tr> <tr> <td> 9/9 </td> <td> 196 ± 7 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.01 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 65 ± 5 </td> <td> 56 ± 6 </td> <td> 93 ± 2 </td> <td> 81 ± 3 </td> <td> </td> <td> </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> Component </b> </td> <td> <b> Demand </b> </td> </tr> </thead> <tbody> <tr> <td> Decision latitude </td> <td> </td> </tr> <tr> <td> Skills discretion </td> <td> Job requires learning new things </td> </tr> <tr> <td> </td> <td> Job requires high level of skills </td> </tr> <tr> <td> </td> <td> Job requires creativity </td> </tr> <tr> <td> </td> <td> Job entails a variety of things to do </td> </tr> <tr> <td> Decision authority </td> <td> Job allows making one's own decision </td> </tr> <tr> <td> </td> <td> Job provides a lot of freedom as to how the work gets done </td> </tr> <tr> <td> Job demands </td> <td> Job requires very hard work </td> </tr> <tr> <td> </td> <td> Job requires very fast work </td> </tr> <tr> <td> </td> <td> Job requires excessive work </td> </tr> <tr> <td> </td> <td> Job involves conflicting demands </td> </tr> <tr> <td> </td> <td> Jon involve not having enough time to get the job done </td> </tr> </tbody> </table> </body> </html>
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Patient load 18–28 p/d (less 18 p/d -reference) </td> <td> 1,769 </td> <td> 0,009 </td> <td> 5,863 </td> <td> 1,549–22,188 </td> </tr> <tr> <td> Patient load > 28 p/d (less 18 p/d -reference) </td> <td> 1,845 </td> <td> 0,014 </td> <td> 6,330 </td> <td> 1,450–27,630 </td> </tr> <tr> <td> Low ability to use skills </td> <td> 0,198 </td> <td> 0,609 </td> <td> 1,219 </td> <td> 0,571–2,600 </td> </tr> <tr> <td> Low decision latitude </td> <td> 0,317 </td> <td> 0,343 </td> <td> 1,373 </td> <td> 0,713–2,644 </td> </tr> <tr> <td> High job demands </td> <td> 1,418 </td> <td> <0,001 </td> <td> 4,128 </td> <td> 2,102–8,104 </td> </tr> </tbody> </table> </body> </html>
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<tr> <td> RER (VCO <sub> 2 </sub> ·VO <sub> 2 </sub> <sup> -1 </sup> ) </td> <td> 0.8 </td> <td> 0.95 </td> <td> 0.95 </td> <td> 0.9 </td> <td> 0.9 </td> <td> </td> </tr> <tr> <td> Glucose (mmol·l <sup> -1 </sup> ) </td> <td> 7.1 </td> <td> 5.6 </td> <td> 4.9 </td> <td> 4.8 </td> <td> 5.5 </td> <td> 4.8 </td> </tr> <tr> <td> Lactate (mmol·l <sup> -1 </sup> ) </td> <td> 1.1 </td> <td> 1.2 </td> <td> 1.0 </td> <td> 1.3 </td> <td> 1.1 </td> <td> 1.0 </td> </tr> <tr> <td> CK (u·l <sup> -1 </sup> ) </td> <td> 103 </td> <td> </td> <td> 98 </td> <td> 105 </td> <td> 119 </td> <td> 117 </td> </tr> <tr> <td> 3-keto-B (mmol·l <sup> -1 </sup> ) </td> <td> 0.07 </td> <td> <0.05 </td> <td> <0.05 </td> <td> 0.05 </td> <td> 0.1 </td> <td> 0.15 </td> </tr> <tr> <td> 3-OH-B (mmol·l <sup> -1 </sup> ) </td> <td> 0.09 </td> <td> <0.02 </td> <td> <0.02 </td> <td> 0.05 </td> <td> 0.12 </td> <td> 0.26 </td> </tr> <tr> <td> FFA (umol·l <sup> -1 </sup> ) </td> <td> 0.76 </td> <td> 0.28 </td> <td> 0.49 </td> <td> 0.88 </td> <td> 1.03 </td> <td> 0.93 </td> </tr> <tr> <td> <b> Urine </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethylmalonic acid in Mmol·mol <sup> -1 </sup> creatine </td> <td> T = -60–0: 16 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> T = 120–300: 74 </td> </tr> </tbody> </table> </body> </html>
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<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> T = 0 </b> </td> <td> <b> T = 30 </b> </td> <td> <b> T = 60 </b> </td> <td> <b> T = 75 </b> </td> <td> <b> T = 90 </b> </td> <td> <b> T = 120 </b> </td> </tr> </thead> <tbody> <tr> <td> HR (b·min <sup> -1 </sup> ) </td> <td> 80 </td> <td> 120 </td> <td> 120 </td> <td> 120 </td> <td> 120 </td> <td> </td> </tr> <tr> <td> VO <sub> 2 </sub> (ml·min <sup> -1 </sup> ) </td> <td> 260 </td> <td> 450 </td> <td> 620 </td> <td> 620 </td> <td> 600 </td> <td> </td> </tr> <tr> <td> RER (VCO <sub> 2 </sub> ·VO <sub> 2 </sub> <sup> -1 </sup> ) </td> <td> 0.9 </td> <td> 0.9 </td> <td> 0.95 </td> <td> 0.95 </td> <td> 0.9 </td> <td> </td> </tr> <tr> <td> Glucose (mmol·l <sup> -1 </sup> ) </td> <td> 5.2 </td> <td> 4.6 </td> <td> 4.3 </td> <td> 4.4 </td> <td> </td> <td> 4.5 </td> </tr> <tr> <td> Lactate (mmol·l <sup> -1 </sup> ) </td> <td> 2.0 </td> <td> 0.9 </td> <td> 0.9 </td> <td> 1.0 </td> <td> </td> <td> 1.2 </td> </tr> <tr> <td> CK (u·l <sup> -1 </sup> ) </td> <td> 58 </td> <td> </td> <td> 80 </td> <td> 78 </td> <td> </td> <td> 78 </td> </tr> <tr> <td> 3-keto-B (mmol·l <sup> -1 </sup> ) </td> <td> <0.05 </td> <td> <0.05 </td> <td> 0.07 </td> <td> </td> <td> </td> <td> 0.14 </td> </tr> <tr> <td> 3-OH-B (mmol·l <sup> -1 </sup> ) </td> <td> <0.02 </td> <td> <0.02 </td> <td> 0.04 </td> <td> </td> <td> </td> <td> 0.24 </td> </tr> <tr> <td> FFA (umol·l <sup> -1 </sup> ) </td> <td> 0.15 </td> <td> 0.31 </td> <td> 0.62 </td> <td> 0.91 </td> <td> </td> <td> 1.34 </td> </tr> <tr> <td> <b> Urine </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethylmalonic acid in mmol·mol <sup> -1 </sup> creatinine </td> <td> T = -60–0: 29 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> T = 120–300: 59 </td> </tr> </tbody> </table> </body> </html>
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td { border: 1px solid black; font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> Matched relations </b> </td> <td> <b> All relations </b> </td> <td> <b> Precision </b> </td> <td> <b> Recall </b> </td> <td> <b> F measure </b> </td> <td> <b> Sample size </b> </td> </tr> </thead> <tbody> <tr> <td> All sentences </td> <td> 133 </td> <td> 912 </td> <td> 0.14 </td> <td> 1.00 * </td> <td> 0.24 </td> <td> 451 </td> </tr> <tr> <td> Exclude genes </td> <td> 110 </td> <td> 660 </td> <td> 0.17 </td> <td> 1.00 * </td> <td> 0.25 </td> <td> 451 </td> </tr> <tr> <td> Require verbs </td> <td> 94 </td> <td> 437 </td> <td> 0.21 </td> <td> 1.00 * </td> <td> 0.34 </td> <td> 451 </td> </tr> <tr> <td> Discovering relations not in MIPS table </td> <td> 234 </td> <td> 437 </td> <td> 0.53 </td> <td> 1.00 * </td> <td> 0.69 </td> <td> 451 </td> </tr> <tr> <td> Exclude negatives, alleles </td> <td> 239 </td> <td> 381 </td> <td> 0.61 </td> <td> 1.00 * </td> <td> 0.75 </td> <td> 451 </td> </tr> <tr> <td colspan="7"> <b> Including network analysis data </b> </td> </tr> <tr> <td> Exclude proteins not part of true relations table. </td> <td> 239 </td> <td> 343 </td> <td> 0.70 </td> <td> 0.97 * </td> <td> 0.81 </td> <td> 581 </td> </tr> <tr> <td> Include only validated 2-hop relations </td> <td> 254 </td> <td> 343 </td> <td> 0.74 </td> <td> 0.97 * </td> <td> 0.83 </td> <td> 581 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> <b> Randomisation and concealment of treatment allocation </b> </td> <td> <b> Participants </b> </td> <td> <b> Intervention </b> </td> <td> <b> Effect size </b> </td> <td> <b> % Randomised included in analysis </b> </td> </tr> </thead> <tbody> <tr> <td> Bennike, 1951 </td> <td> Quasi-randomised; Inadequate concealment of treatment </td> <td> 349 admitted to hospital with ordinary acute tonsillitis, plegmonous tonsillitis or ulcerative tonsillitis </td> <td> 1. Penicillin: IM, 300,000 units/day for 6 days (adults)2. Control – symptomatic treatment </td> <td> Not Estimable </td> <td> 88% </td> </tr> <tr> <td> Brink, 1951 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 475 males, aged 17–21, admitted to U.S. military hospital with respiratory symptoms or fever with exudate on tonsils or pharyngeal mucosa </td> <td> 1. Procaine penicillin G: IM 300,000 units/day for 4 days2. Aureomycin: avg. 2 g/day orally for 4 days3. Control – no treatment </td> <td> RR = 0.29 [0.06,1.46] </td> <td> Unknown </td> </tr> <tr> <td> Brock, 1953 </td> <td> Randomised; No concealment of treatment </td> <td> 349 males admitted to U.S. military hospital with exudative pharyngitis and laboratory-confirmed GAS infection </td> <td> 1. Procaine penicillin G: IM 600,000 units/day for 3 days2. Control: IM saline placebo, day 1 and day 5 </td> <td> RR = 0.11 [0.00,2.71] </td> <td> Unknown </td> </tr> <tr> <td> Brumfitt, 1957 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 121 males, aged 18–21, admitted to U.S. military hospital with sore throat, pyrexia and no clinical evidence of more generalized disease of which sore throat may have been coincident feature </td> <td> 1. Combination of procaine penicillin G: IM 600,000 units/day for 4 days and crystalline penicillin: IM 200,000 units/day for 4 days2. Control – symptomatic treatment </td> <td> Not estimable </td> <td> Unknown </td> </tr> <tr> <td> Chamovitz, 1954 </td> <td> Quasi-randomised; Unknown whether treatment allocation concealed </td> <td> 241 males admitted to U.S. military hospital with exudative tonsillitis or pharyngitis </td> <td> 1. DBED penicillin: IM 1,200,000 units2. Control – IM placebo </td> <td> RR = 0.17 [0.01,3.41] </td> <td> Unknown </td> </tr> <tr> <td> Denny, 1950 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 1602 males admitted to U.S. military hospital with respiratory symptoms and observed exudate on the tonsils or pharyngeal wall </td> <td> 1. Penicillin G: IM 200,000 units/day for 3 days of 300,000 units/day for 4 days2. Control: symptomatic treatment </td> <td> RR = 0.12 [0.03,0.50] </td> <td> 81.8% </td> </tr> <tr> <td> Denny, 1953 </td> <td> Randomised; Unknown whether treatment allocation concealed </td> <td> 207 males admitted to U.S. military hospital with suspected streptococcal infection based on presence of exudate on tonsils or pharynx and total leukocyte count exceeding 10,000 </td> <td> 1. Crystalline procaine penicillin: IM 600,000 units/day for 5 days2. Crystalline aureomycin: avg. 2 g/day for 5 days3. Crystalline terramycin: avg. 2 g/day for 5 days4. Control: oral lactose placebo for 5 days </td> <td> RR = 0.64 [0.06,6.92] </td> <td> Unknown </td> </tr> <tr> <td> Houser, 1953 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 2044 males, ages 17–21, admitted to U.S. military hospital with exudative lesions on their tonsils or pharynx </td> <td> 1. Aureomycin: avg. 2 g/day for avg. 5 days2. Control: no specific treatment </td> <td> RR = 0.63 [0.34,1.17] </td> <td> 88% </td> </tr> <tr> <td> Siegel, 1961 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 1213 children, aged 3–16, with uncomplicated acute upper-respiratory tract disease and laboratory-confirmed GAS infection </td> <td> 1. Benzathine penicillin G: IM 600,000 units2. Control: symptomatic treatment </td> <td> RR = 0.20 [0.01,4.14] </td> <td> 95% </td> </tr> <tr> <td> Wannamaker, 1951 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 2340 males, aged 17–20, admitted to U.S. military hospital with respiratory symptoms and exudative lesions on the tonsils or oropharynx, or oral temp. > 100°F </td> <td> 1. Procaine penicillin G: IM various dosages (1,200,000 over 4 days; 600,000 units over 3 days; 600,000 single dose)2. Control: no specific treatment </td> <td> RR = 0.21 [0.09,0.47] </td> <td> 83.3% </td> </tr> </tbody> </table> </body> </html>
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</td> <td> <b> Regression equation </b> </td> <td> <b> r <sup> 2 </sup> </b> </td> <td> <b> r </b> </td> <td> <b> n </b> </td> <td> <b> P </b> </td> </tr> </thead> <tbody> <tr> <td> Between trees (UCA) </td> <td> 1 </td> <td> ln y = 2.756 + 0.000214x </td> <td> 0.137 </td> <td> 0.370 </td> <td> 7 </td> <td> 0.414 ns </td> </tr> <tr> <td> </td> <td> 2 </td> <td> y = 43.396 + 0.01467x </td> <td> 0.272 </td> <td> 0.521 </td> <td> 7 </td> <td> 0.230 ns </td> </tr> <tr> <td> </td> <td> 3 </td> <td> ln y = 3.911 + 0.000156x </td> <td> 0.126 </td> <td> 0.355 </td> <td> 7 </td> <td> 0.434 ns </td> </tr> <tr> <td> Under trees (CA) </td> <td> 1 </td> <td> y = - 65.59 + 0.12309x </td> <td> 0.675 </td> <td> 0.822 </td> <td> 7 </td> <td> 0.045 * </td> </tr> <tr> <td> </td> <td> 2 </td> <td> y = 90.378 + 0.05286x </td> <td> 0.813 </td> <td> 0.902 </td> <td> 7 </td> <td> 0.014 * </td> </tr> <tr> <td> </td> <td> 3 </td> <td> y = 139.76 + 0.04719x </td> <td> 0.416 </td> <td> 0.645 </td> <td> 7 </td> <td> 0.167 ns </td> </tr> <tr> <td> Trees removed (RCA) </td> <td> 1 </td> <td> y = 21.291 + 0.00130x </td> <td> 0.021 </td> <td> 0.146 </td> <td> 7 </td> <td> 0.783 ns </td> </tr> <tr> <td> </td> <td> 2 </td> <td> y = 72.022 - 0.01599x </td> <td> 0.537 </td> <td> -0.733 </td> <td> 7 </td> <td> 0.098 ns </td> </tr> <tr> <td> </td> <td> 3 </td> <td> ln y = 0.888 + 0.000824x </td> <td> 0.611 </td> <td> 0.781 </td> <td> 7 </td> <td> 0.066 ns </td> </tr> </tbody> </table> </body> </html>
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<tr> <td> 0–20 </td> <td> 7469 (30.0%) </td> <td> 282 (25.1%) </td> </tr> <tr> <td> 21–40 </td> <td> 6548 (26.3%) </td> <td> 203 (18.1%) </td> </tr> <tr> <td> 40–60 </td> <td> 5203 (20.9%) </td> <td> 242 (21.5%) </td> </tr> <tr> <td> >60 </td> <td> 5677 (22.8%) </td> <td> 396 (35.3%) </td> </tr> <tr> <td> Total </td> <td> 24,897 (100%) </td> <td> 1123 (100%) </td> </tr> <tr> <td> <i> missing </i> </td> <td> <i> 15 (0.06%) </i> </td> <td> <i> 37 (3.2%) </i> </td> </tr> <tr> <td> <b> Insurance </b> </td> <td> </td> <td> </td> </tr> <tr> <td> Public </td> <td> 21,875 (78.1%) </td> <td> 865 (76.2%) </td> </tr> <tr> <td> Private </td> <td> 6,960 (21.9%) </td> <td> 270 (23.8%) </td> </tr> <tr> <td> Total </td> <td> 27,625 (100%) </td> <td> 1135 (100%) </td> </tr> <tr> <td> <i> missing </i> </td> <td> <i> 910 (3.2%) </i> </td> <td> <i> 25 (2.2%) </i> </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> </td> <td> <b> Telephone advice </b> </td> <td> <b> Consultation at the GP cooperative </b> </td> <td> <b> Home visits </b> </td> <td> <b> Total </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> n (%) </td> <td> n (%) </td> <td> n (%) </td> <td> n (%) </td> </tr> <tr> <td> Referred or advised by GP </td> <td> 62 (40.0) </td> <td> 60 (46.5) </td> <td> 44 (38.6) </td> <td> 166 (41.7) </td> </tr> <tr> <td> Worsening of complaint </td> <td> 38 (24.5) </td> <td> 30 (23.3) </td> <td> 23 (20.2) </td> <td> 91 (22.9) </td> </tr> <tr> <td> Wrong advice or treatment </td> <td> 11 (7.1) </td> <td> 6 (4.7) </td> <td> 3 (2.6) </td> <td> 20 (5.0) </td> </tr> <tr> <td> Worried </td> <td> 26 (16.8) </td> <td> 15 (11.6) </td> <td> 26 (22.8) </td> <td> 67 (16.8) </td> </tr> <tr> <td> Other reasons </td> <td> 18 (11.6) </td> <td> 18 (14.0) </td> <td> 18 (15.8) </td> <td> 54 (13.6) </td> </tr> <tr> <td> Total </td> <td> 155 (100.0) </td> <td> 129 (100.0) </td> <td> 114 (100.0) </td> <td> 398 (100.0) </td> </tr> </tbody> </table> </body> </html>
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2.27E-07 </td> </tr> <tr> <td> </td> <td> Structural constituent of ribosome </td> <td> 78 </td> <td> 4.21E-05 </td> </tr> <tr> <td> </td> <td> Extracellular matrix structural constituent </td> <td> 38 </td> <td> 4.12E-04 </td> </tr> <tr> <td> </td> <td> Monovalent cation \:proton antiporter activity </td> <td> 7 </td> <td> 3.90E-03 </td> </tr> <tr> <td> </td> <td> Sodium \:hydrogen antiporter activity </td> <td> 7 </td> <td> 3.90E-03 </td> </tr> <tr> <td> </td> <td> Transcriptional repressor activity </td> <td> 18 </td> <td> 1.31E-02 </td> </tr> <tr> <td> </td> <td> Voltage-gated sodium channel activity </td> <td> 9 </td> <td> 1.58E-02 </td> </tr> <tr> <td> </td> <td> Cation \:cation antiporter activity </td> <td> 8 </td> <td> 2.24E-02 </td> </tr> <tr> <td> Cellular Component </td> <td> Large ribosomal subunit </td> <td> 23 </td> <td> 1.06E-03 </td> </tr> <tr> <td> </td> <td> Ribosome </td> <td> 90 </td> <td> 2.20E-03 </td> </tr> <tr> <td> </td> <td> Cytosolic ribosome </td> <td> 24 </td> <td> 6.14E-03 </td> </tr> <tr> <td> </td> <td> Cytosolic large ribosome subunit </td> <td> 16 </td> <td> 9.87E-03 </td> </tr> <tr> <td> </td> <td> Cellular component unknown </td> <td> 160 </td> <td> 1.22E-02 </td> </tr> <tr> <td> </td> <td> Collagen </td> <td> 15 </td> <td> 1.36E-02 </td> </tr> <tr> <td> </td> <td> Ribonucleoprotein complex </td> <td> 127 </td> <td> 1.52E-02 </td> </tr> <tr> <td> </td> <td> Biological process unknown </td> <td> 252 </td> <td> 7.91E-04 </td> </tr> </tbody> </table> </body> </html>
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rules="groups" width="100%"> <thead> <tr> <td> <b> GO category </b> </td> <td> <b> GO description </b> </td> <td> <b> LS Permut. p-value </b> </td> <td> <b> KS Permut. p-value </b> </td> </tr> </thead> <tbody> <tr> <td> 0004376 </td> <td> Helicase activity </td> <td> 0.00129 </td> <td> 0.00718 </td> </tr> <tr> <td> 0001724 </td> <td> RNA helicase activity </td> <td> 0.00196 </td> <td> 0.01317 </td> </tr> <tr> <td> 0030894 </td> <td> Replisome </td> <td> 0.00811 </td> <td> 1e-04 </td> </tr> <tr> <td> 0005657 </td> <td> Replication fork </td> <td> 0.01098 </td> <td> 7e-04 </td> </tr> <tr> <td> 0003887 </td> <td> DNA-directed DNA polymerase activity </td> <td> 0.01822 </td> <td> 0.00253 </td> </tr> <tr> <td> 0050792 </td> <td> Regulation of viral life cycle </td> <td> 0.03079 </td> <td> 0.00364 </td> </tr> <tr> <td> 0004601 </td> <td> Peroxidase activity </td> <td> 0.03864 </td> <td> 0.00382 </td> </tr> <tr> <td> 0016684 </td> <td> Oxidoreductase activity </td> <td> 0.03864 </td> <td> 0.00382 </td> </tr> <tr> <td> 0006260 </td> <td> DNA replication </td> <td> 0.06296 </td> <td> 0.00403 </td> </tr> <tr> <td> 0006270 </td> <td> DNA replication initiation </td> <td> 0.07700 </td> <td> 0.00066 </td> </tr> <tr> <td> 0004789 </td> <td> Endoplasmic reticulum membrane </td> <td> 0.09838 </td> <td> 0.00409 </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> Variable </b> </td> <td> <b> All patients (n = 60) </b> </td> <td> <b> NARST (n = 47) </b> </td> <td> <b> NASST (n = 13) </b> </td> <td> <b> MDR-ST (n = 22) </b> </td> <td> <b> NonMDR-ST (n = 38) </b> </td> </tr> </thead> <tbody> <tr> <td> MIC ciprofloxacin, μg/mL </td> <td> 0.33 ± 0.21 </td> <td> 0.37 ± 0.21* </td> <td> 0.17 ± 0.14* </td> <td> 0.37 ± 0.26 </td> <td> 0.30 ± 0.18 </td> </tr> <tr> <td> MIC ceftriaxone, μg/mL </td> <td> 0.036 ± 0.016 </td> <td> 0.038 ± 0.018 </td> <td> 0.031 ± 0.01 </td> <td> 0.033 ± 0.017 </td> <td> 0.039 ± 0.016 </td> </tr> <tr> <td> Fever clearance time, days </td> <td> 5.1 ± 3.5 </td> <td> 5.5 ± 3.8 </td> <td> 3.7 ± 1.3 </td> <td> 4.9 ± 2.7 </td> <td> 5.3 ± 3.9 </td> </tr> <tr> <td> Total duration of illness, days </td> <td> 14.3(9.8–21) </td> <td> 16.3(11.4–24)* </td> <td> 9.6(6.8–10)* </td> <td> 14.5(9.3–21.4) </td> <td> 14.3(9.9–22) </td> </tr> <tr> <td> <i> Complications <sup> † </sup> </i> </td> <td> <i> 11 (18) </i> </td> <td> <i> 11 (23) </i> </td> <td> -- </td> <td> <i> 2 (9) </i> </td> <td> <i> 9 (24) </i> </td> </tr> </tbody> </table> </body> </html>
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Communicable Diseases </td> <td> 37 (52.1) </td> <td> 150 (63.6) </td> <td> 126 (60.6) </td> <td> 313 (60.8) </td> </tr> <tr> <td> Acute Febrile illnesses </td> <td> 11 (15.5) </td> <td> 66 (28.0) </td> <td> 53 (25.5) </td> <td> 130 (25.2) </td> </tr> <tr> <td> Diarrheal diseases </td> <td> 5 (7.0) </td> <td> 25 (10.6) </td> <td> 27 (13.0) </td> <td> 57 (11.1) </td> </tr> <tr> <td> All forms of tuberculosis </td> <td> 6 (8.5) </td> <td> 23 (9.7) </td> <td> 21 (10.1) </td> <td> 50 (9.7) </td> </tr> <tr> <td> HIV/ AIDS </td> <td> 8 (11.3) </td> <td> 20 (8.5) </td> <td> 10 (4.8) </td> <td> 38 (7.4) </td> </tr> <tr> <td> Pneumonia </td> <td> 4 (5.6) </td> <td> 14 (5.9) </td> <td> 10 (4.8) </td> <td> 28 (5.4) </td> </tr> <tr> <td> Meningitis </td> <td> 3 (4.2) </td> <td> 2 (0.8) </td> <td> 5 (2.4) </td> <td> 10 (1.9) </td> </tr> <tr> <td> II. Non-communicable Diseases </td> <td> 20 (28.2) </td> <td> 56 (23.7) </td> <td> 48 (23.1) </td> <td> 124 (25.4) </td> </tr> <tr> <td> Liver diseases </td> <td> 8 (11.3) </td> <td> 26 (11.1) </td> <td> 24 (11.5) </td> <td> 58 (11.3) </td> </tr> <tr> <td> Cardio-vascular diseases </td> <td> 6 (8.5) </td> <td> 13 (5.5) </td> <td> 13 (6.3) </td> <td> 32 (6.2) </td> </tr> <tr> <td> Chronic obstructive lung diseases </td> <td> 4 (5.6) </td> <td> 14 (5.9) </td> <td> 9 (4.3) </td> <td> 27 (5.2) </td> </tr> <tr> <td> Acute abdomen conditions </td> <td> 2 (2.8) </td> <td> 3 (1.3) </td> <td> 2 (0.9) </td> <td> 7 (1.4) </td> </tr> <tr> <td> III. Maternal causes </td> <td> 3 (4.2) </td> <td> 19 (8.1) </td> <td> 14 (6.7) </td> <td> 36 (7.0) </td> </tr> <tr> <td> IV. Injuries </td> <td> 2 (2.8) </td> <td> 6 (2.5) </td> <td> 1 (0.5) </td> <td> 9 (1.7) </td> </tr> <tr> <td> Undetermined </td> <td> 9 (12.7) </td> <td> 5 (2.1) </td> <td> 19 (9.1) </td> <td> 33 (6.4) </td> </tr> <tr> <td> Total </td> <td> 71 (100) </td> <td> 236 (100) </td> <td> 208 (100) </td> <td> 515 (100.0) </td> </tr> </tbody> </table> </body> </html>
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I. Communicable Diseases </td> <td> 149 (58.7) </td> <td> 164 (62.8) </td> <td> 313 (60.8) </td> </tr> <tr> <td> Acute Febrile illnesses </td> <td> 63 (24.8) </td> <td> 67 (25.7) </td> <td> 130 (25.2) </td> </tr> <tr> <td> Diarrheal diseases </td> <td> 28 (11.0) </td> <td> 29 (11.1) </td> <td> 57 (11.1) </td> </tr> <tr> <td> All forms of tuberculosis </td> <td> 21 (8.3) </td> <td> 29 (11.1) </td> <td> 50 (9.7) </td> </tr> <tr> <td> HIV/ AIDS </td> <td> 19 (7.5) </td> <td> 19 (7.3) </td> <td> 38 (7.4) </td> </tr> <tr> <td> Pneumonia </td> <td> 17 (6.7) </td> <td> 11 (4.2) </td> <td> 28 (5.4) </td> </tr> <tr> <td> Meningitis </td> <td> 1 (0.4) </td> <td> 9 (3.4) </td> <td> 10 (1.9) </td> </tr> <tr> <td> II. Non-communicable Diseases </td> <td> 54 (21.2) </td> <td> 78 (26.8) </td> <td> 124 (25.4) </td> </tr> <tr> <td> Liver diseases </td> <td> 26 (10.2) </td> <td> 32 (12.3) </td> <td> 58 (11.3) </td> </tr> <tr> <td> Cardio-vascular diseases </td> <td> 14 (5.5) </td> <td> 18 (6.9) </td> <td> 32 (6.2) </td> </tr> <tr> <td> Chronic obstructive lung diseases </td> <td> 10 (3.9) </td> <td> 17 (6.5) </td> <td> 27 (5.2) </td> </tr> <tr> <td> Acute abdomen conditions </td> <td> 4 (1.6) </td> <td> 3 (1.1) </td> <td> 7 (1.4) </td> </tr> <tr> <td> III. Maternal causes </td> <td> 36 (14.2) </td> <td> --- </td> <td> 36 (7.0) </td> </tr> <tr> <td> IV. Injuries </td> <td> 3 (1.2) </td> <td> 6 (2.3) </td> <td> 9 (1.7) </td> </tr> <tr> <td> Undetermined </td> <td> 12 (4.7) </td> <td> 21 (8.1) </td> <td> 33 (6.4) </td> </tr> <tr> <td> Total </td> <td> 254 (100.0) </td> <td> 261(100.0) </td> <td> 515(100.0) </td> </tr> </tbody> </table> </body> </html>
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Communicable Diseases </td> <td> 250 (59.2) </td> <td> 313 (60.8) </td> </tr> <tr> <td> Acute Febrile illnesses </td> <td> 102 (24.2) </td> <td> 130 (25.2) </td> </tr> <tr> <td> Diarrheal diseases </td> <td> 47 (11.1) </td> <td> 57 (11.1) </td> </tr> <tr> <td> All forms of tuberculosis </td> <td> 42 (10.0) </td> <td> 50 (9.7) </td> </tr> <tr> <td> HIV/ AIDS </td> <td> 30 (7.1) </td> <td> 38 (7.4) </td> </tr> <tr> <td> Pneumonia </td> <td> 22 (5.2) </td> <td> 28 (5.4) </td> </tr> <tr> <td> Meningitis </td> <td> 7 (1.7) </td> <td> 10 (1.9) </td> </tr> <tr> <td> II. 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</td> <td> Activation </td> <td> Hideshima et al [21], 2003Chauhan et al [22], 2004Yang et al [23], 2004 </td> </tr> <tr> <td> p21, p27 </td> <td> CDK inhibitors </td> <td> Stabilization </td> <td> Shah et al [24], 2001Hideshima et al [15], 2001Yang et al [23], 2004 </td> </tr> <tr> <td> p53 </td> <td> Transcription factor and Tumor suppressor </td> <td> Stabilization </td> <td> Williams and McConkey [25], 2003Hideshima et al [21], 2003Yang et al [23], 2004 </td> </tr> <tr> <td> Bid </td> <td> Proapoptotic protein </td> <td> Stabilization </td> <td> Breitschopf et al [26], 2000 </td> </tr> <tr> <td> Bax </td> <td> Proapoptotic protein </td> <td> Stabilization </td> <td> Li and Dou [27], 2000 </td> </tr> <tr> <td> Caveolin-1 </td> <td> Promotes cell migration </td> <td> Inhibition of activation </td> <td> Podar et al [28], 2004 </td> </tr> <tr> <td> gp130 </td> <td> Cytokine signaling receptor </td> <td> Downregulation </td> <td> Hideshima et al [29], 2003 </td> </tr> <tr> <td> DNA-PKcs </td> <td> DNA repair </td> <td> Cleavage </td> <td> Hideshima et al [21], 2003 </td> </tr> <tr> <td> ATM </td> <td> DNA repair </td> <td> Cleavage </td> <td> Hideshima et al [21], 2003 </td> </tr> </tbody> </table> </body> </html>
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</td> </tr> <tr> <td> Adult T-cell leukemia </td> <td> Decreased or no effect on tumor growth </td> <td> 1.0 mg/kg IP twice weekly for 2 weeks </td> <td> Tan and Waldmann [19], 2002Satou et al [44], 2004 </td> </tr> <tr> <td> Lung </td> <td> Tumor growth delay and decreased lung metastases </td> <td> 1.0 mg/kg PO once daily for 18 days </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> Breast </td> <td> Decreased surviving fraction of tumor cells </td> <td> 5.0 mg/kg IP once </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> Prostate </td> <td> Decreased tumor growth; decrease or no effect on angiogenesis </td> <td> 1.0 mg/kg IV weekly for 4 weeks, or q 72 hrs for 15 days </td> <td> Adams et al [13], 1999Williams et al [46], 2003 </td> </tr> <tr> <td> Pancreatic </td> <td> Decreased or no effect on tumor growth and angiogenesis; increased or no effect on tumor apoptosis </td> <td> 1.0 mg/kg IV biweekly for 2 to 3 weeks, or weekly for 4 weeks or 0.25 mg/kg IP biweekly for 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Chemotherapy </td> <td> 5-Fluorouracil, cisplatin, paclitaxel, doxorubicin, cyclophosphamide </td> <td> Breast, lung </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> </td> <td> Melphalan, doxorubicin, dexamethasone </td> <td> Multiple myeloma </td> <td> Hideshima et al [15], 2001Mitsiades et al [50], 2003Ma et al [20], 2003 </td> </tr> <tr> <td> </td> <td> Topoisomerase inhibitor: irinotecan </td> <td> Colon Pancreatic </td> <td> Cusack et al [30], 2001Shah et al [24], 2001 </td> </tr> <tr> <td> </td> <td> Gemcitabine </td> <td> Pancreatic Bladder </td> <td> Bold et al [48], 2001Kamat et al [51], 2004 </td> </tr> <tr> <td> </td> <td> Pegylated liposomal doxorubicin </td> <td> Breast </td> <td> Small et al [52], 2004 </td> </tr> <tr> <td> </td> <td> Docetaxel </td> <td> Pancreatic </td> <td> Nawrocki et al [53], 2004 </td> </tr> <tr> <td> </td> <td> Temozolomide </td> <td> Melanoma </td> <td> Amiri et al [49], 2004 </td> </tr> <tr> <td> Radiation therapy </td> <td> </td> <td> Breast Colon Prostate </td> <td> Teicher et al [45], 1999Russo et al [16], 2001Pervan et al [54], 2001 </td> </tr> <tr> <td> Immunotherapy </td> <td> Daclizumab </td> <td> Adult T-cell leukemia </td> <td> Tan and Waldmann [19], 2002 </td> </tr> <tr> <td> Novel agents </td> <td> TRAIL/Apo2L </td> <td> Multiple myeloma, myeloid leukemia, renal </td> <td> Mitsiades et al [55], 2001Sayers et al [56], 2003 </td> </tr> <tr> <td> </td> <td> HSP90 inhibitor: 17-AAG </td> <td> Breast </td> <td> Mimnaugh et al [39], 2004 </td> </tr> <tr> <td> </td> <td> HDAC inhibitors: SAHA, sodium butyrate </td> <td> CML, multiple myeloma, lung </td> <td> Denlinger et al [40], 2004Yu et al [57], 2003Mitsiades et al [58], 2004Denlinger et al [59], 2004Pei et al [60], 2004 </td> </tr> <tr> <td> Transplantation </td> <td> Allogeneic BMT </td> <td> Leukemia </td> <td> Sun et al [61], 2004 </td> </tr> </tbody> </table> </body> </html>
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<body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> <i> Characteristic </i> <sup> <i> a </i> </sup> </b> </td> <td> <b> <i> % or n </i> </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Of your patients who have drug problems, what % are: </i> </td> <td> </td> </tr> <tr> <td> Male </td> <td> 81% </td> </tr> <tr> <td> <i> What is the cause of addiction? </i> <sup> <i> b </i> </sup> </td> <td> </td> </tr> <tr> <td> Emotional </td> <td> 49% </td> </tr> <tr> <td> Social </td> <td> 45% </td> </tr> <tr> <td> Family </td> <td> 35% </td> </tr> <tr> <td> Economic </td> <td> 31% </td> </tr> <tr> <td> Leisure </td> <td> 31% </td> </tr> <tr> <td> Wrong role models </td> <td> 26% </td> </tr> <tr> <td> <i> In the last 5 years, have drug addiction trends increased, decreased, unchanged: </i> </td> <td> </td> </tr> <tr> <td> Increased </td> <td> 94% </td> </tr> <tr> <td> <i> In the last 5 years, drug abuse increased more for males or females </i> <sup> <i> c </i> </sup> <i> : </i> </td> <td> </td> </tr> <tr> <td> Females </td> <td> 42% </td> </tr> <tr> <td> Males </td> <td> 38% </td> </tr> <tr> <td> Same </td> <td> 18% </td> </tr> <tr> <td> <i> If increased, why? </i> <sup> <i> d </i> </sup> </td> <td> </td> </tr> <tr> <td> Social/family issues </td> <td> 22 </td> </tr> <tr> <td> Economic reasons </td> <td> 20 </td> </tr> <tr> <td> Unemployment </td> <td> 17 </td> </tr> <tr> <td> Easy access to drugs </td> <td> 17 </td> </tr> <tr> <td> Lack of recreation/sport facilities </td> <td> 10 </td> </tr> <tr> <td> Youth-related issues </td> <td> 9 </td> </tr> <tr> <td> Ineffective law enforcement/government action </td> <td> 6 </td> </tr> <tr> <td> Inadequate education </td> <td> 2 </td> </tr> <tr> <td> Other </td> <td> 10 </td> </tr> <tr> <td> <i> What is your view of drug addicts? </i> <sup> <i> b </i> </sup> </td> <td> </td> </tr> <tr> <td> Psychologically ill </td> <td> 82% </td> </tr> <tr> <td> Physically ill </td> <td> 22% </td> </tr> <tr> <td> Burden on society </td> <td> 22% </td> </tr> <tr> <td> Criminals </td> <td> 2% </td> </tr> <tr> <td> <i> Level of awareness about substance abuse </i> <sup> <i> e </i> </sup> </td> <td> </td> </tr> <tr> <td> Moderate </td> <td> 54% </td> </tr> <tr> <td> High </td> <td> 27% </td> </tr> </tbody> </table> </body> </html>
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<thead> <tr> <td> <b> <i> Characteristic </i> <sup> <i> a </i> </sup> </b> </td> <td> <b> <i> % or n </i> </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Who is more willing to quit? </i> </td> <td> </td> </tr> <tr> <td> Males </td> <td> 62% </td> </tr> <tr> <td> Don't know </td> <td> 11% </td> </tr> <tr> <td> <i> Target groups for campaigns against abuse? </i> </td> <td> </td> </tr> <tr> <td> Youth ≤ 25 years </td> <td> 68% </td> </tr> <tr> <td> Urban </td> <td> 5% </td> </tr> <tr> <td> Users and drug and alcohol organisations </td> <td> 8% </td> </tr> <tr> <td> Jails </td> <td> 3% </td> </tr> <tr> <td> Other </td> <td> 16% </td> </tr> <tr> <td> <i> What is the most important motive for quitting? </i> <sup> <i> b </i> </sup> </td> <td> </td> </tr> <tr> <td> Family or marital pressure </td> <td> 60% </td> </tr> <tr> <td> Economic pressure </td> <td> 44% </td> </tr> <tr> <td> Tired of addiction </td> <td> 42% </td> </tr> <tr> <td> Legal issues </td> <td> 22% </td> </tr> <tr> <td> Employment issues </td> <td> 12% </td> </tr> <tr> <td> Physical illness </td> <td> 4% </td> </tr> <tr> <td> Other </td> <td> 4% </td> </tr> <tr> <td> <i> What is a suitable substitute for substance use? </i> <sup> <i> c </i> </sup> </td> <td> </td> </tr> <tr> <td> Drug or other treatment </td> <td> 18 </td> </tr> <tr> <td> Societal, family or community factors </td> <td> 16 </td> </tr> <tr> <td> Recreational/sporting activities </td> <td> 11 </td> </tr> <tr> <td> Employment </td> <td> 10 </td> </tr> <tr> <td> Restricted access or punitive (eg. jail) </td> <td> 3 </td> </tr> <tr> <td> Nothing or don't know </td> <td> 7 </td> </tr> <tr> <td> <i> Most effective methods for quitting nicotine? </i> <sup> <i> c </i> </sup> </td> <td> </td> </tr> <tr> <td> Counselling or psycho-social interventions </td> <td> 22 </td> </tr> <tr> <td> Recreational or sporting activities </td> <td> 9 </td> </tr> <tr> <td> Pharmacotherapy </td> <td> 7 </td> </tr> <tr> <td> Combination of therapies </td> <td> 3 </td> </tr> <tr> <td> Alternative therapies </td> <td> 1 </td> </tr> <tr> <td> Individual's determination to quit </td> <td> 2 </td> </tr> <tr> <td> Don't know </td> <td> 3 </td> </tr> <tr> <td> <i> Important side-effects of quitting nicotine? </i> <sup> <i> c </i> </sup> </td> <td> </td> </tr> <tr> <td> Restlessness/irritability </td> <td> 18 </td> </tr> <tr> <td> Physical symptoms/effects </td> <td> 13 </td> </tr> <tr> <td> Emotional symptoms/effects </td> <td> 7 </td> </tr> <tr> <td> Non-specified withdrawal symptoms </td> <td> 4 </td> </tr> <tr> <td> None </td> <td> 7 </td> </tr> <tr> <td> <i> Effectiveness of complementary medicines for nicotine dependence? </i> <sup> <i> c </i> </sup> </td> <td> </td> </tr> <tr> <td> Not effective/minimal </td> <td> 10 </td> </tr> <tr> <td> Somewhat effective </td> <td> 12 </td> </tr> <tr> <td> Effective </td> <td> 6 </td> </tr> <tr> <td> Other </td> <td> 6 </td> </tr> <tr> <td> Don't know </td> <td> 12 </td> </tr> <tr> <td> <i> Suitability of GP 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<td> 36 </td> <td> 29 </td> </tr> <tr> <td> Median days injected </td> <td> 2 </td> <td> 3.5 </td> </tr> <tr> <td> Benzodiazepines </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 18 </td> <td> 19 </td> </tr> <tr> <td> Median days injected </td> <td> 90 </td> <td> 12 </td> </tr> <tr> <td> Alcohol </td> <td> </td> <td> </td> </tr> <tr> <td> used last 6 months </td> <td> 68 </td> <td> 68 </td> </tr> <tr> <td> Median days used </td> <td> 24 </td> <td> 18 </td> </tr> <tr> <td> No. drug classes used last 6 months (M) </td> <td> 7 </td> <td> 6.5 </td> </tr> <tr> <td> Spent money on drugs yesterday </td> <td> 100* </td> <td> 77 </td> </tr> <tr> <td> Median amount spent on drugs yesterday </td> <td> $145** </td> <td> $100 </td> </tr> </tbody> </table> </body> </html>
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</td> <td> <b> Blinding of outcome assessors </b> </td> <td> <b> Check success of blinding </b> </td> </tr> </thead> <tbody> <tr> <td> Behnke [19, 20] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> - </td> <td> + </td> <td> +/- </td> <td> - </td> <td> - </td> </tr> <tr> <td> Kirsten 1998 [22] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> - </td> <td> + </td> <td> +/- </td> <td> - </td> <td> - </td> </tr> <tr> <td> Man 2004 [24] </td> <td> +/- </td> <td> + </td> <td> + </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Murphy 2005 [21] </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Nava 1998 [23] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Troosters [25, 26] </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> 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rehabilitation with endurance exercise (5 walking sessions/day for 10 days), followed by six months of supervised home-based endurance exercise (3 walking sessions/day for 6 months) <b> Usual care: </b> Standard inpatient care without exercise and standard community care with respirologist. </td> <td> 18 months </td> <td> CRQ, Transition dyspnea index, 6 MWT, hospital readmission, mortality </td> </tr> <tr> <td> Kirsten 1998 [22] </td> <td> 29 COPD patients (mean age 64 years, 90% males, mean FEV <sub> 1 </sub> = 36% predicted) after inpatient treatment for acute exacerbation. </td> <td> <b> Rehabilitation: </b> Within 6–8 days after admission, inpatient respiratory rehabilitation with endurance exercise (5 walking sessions/day for 10 days). <b> Usual care: </b> Standard inpatient care without exercise. </td> <td> 11 days </td> <td> Transition dyspnea index, 6 MWT </td> </tr> <tr> <td> Man 2003 [24] </td> <td> 42 COPD patients (mean age 70 years, 41% males, FEV <sub> 1 </sub> = 39% predicted) after inpatient treatment for acute exacerbation. </td> <td> <b> Rehabilitation: </b> Multidisciplinary outpatient respiratory rehabilitation (within 10 days of discharge) with endurance and strength exercise and patient education for 12 weeks (2 sessions/week). <b> Usual care: </b> Standard community care with respirologist </td> <td> 12 weeks </td> <td> CRQ, SGRQ, Short form survey 36, shuttle walk test, hospital readmission, hospital days, emergency admissions, mortality </td> </tr> <tr> <td> Murphy 2005 [21] </td> <td> 26 COPD patients (mean age 66 years, 65% males, mean FEV <sub> 1 </sub> = 40% predicted) after home for hospital treatment for acute exacerbation. </td> <td> <b> Rehabilitation: </b> Supervised home-based respiratory rehabilitation with endurance and strength exercise for 6 weeks (2 supervised sessions/week and daily unsupervised sessions). <b> Usual care: </b> Standard community care with respirologist </td> <td> 6 months </td> <td> SGRQ, EuroQol, MRC dyspnea scale, shuttle walk test, 3-minute step test, hospital readmission </td> </tr> <tr> <td> Nava 1997 [23] </td> <td> 70 COPD patients (mean age 66 years, 73% males, mean FEV <sub> 1 </sub> = 32% predicted, 76% needed mechanical ventilation) admitted to inpatient care for treatment of acute exacerbation. </td> <td> <b> Rehabilitation </b> : Within 3–5 days after admission, inpatient respiratory rehabilitation with four steps of increasing intensity.Step I, if unable to walk: Mobilisation and strength training for lower extremities.Step II, if able to walk: Endurance exercise (walking)Step III, if possible: Endurance exercise (cycling and stair climbing) and respiratory muscle trainingIV, if possible: Endurance exercise (cycling at highest tolerated intensity, 2 sessions/day for 3 weeks) <b> Usual care: </b> Only steps I and II. </td> <td> 6 weeks </td> <td> Dyspnea on exertion, 6 MWT, mortality </td> </tr> <tr> <td> Troosters 2002 [25, 26] </td> <td> 48 COPD patients (mean age 62 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</tr> <tr> <td> Diabetes </td> <td> 165 (9.2%) </td> <td> 492 (17.2%) </td> <td> 657 (14.2%) </td> </tr> <tr> <td> ISH </td> <td> 79 (4.4%) </td> <td> 408 (14.3%) </td> <td> 487 (10.5%) </td> </tr> <tr> <td> WHO-risk </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <i> Low (<15%) </i> </td> <td> 37 (2.1%) </td> <td> 101 (3.5%) </td> <td> 138 (3.0%) </td> </tr> <tr> <td> <i> Medium (15–20%) </i> </td> <td> 837 (46.9%) </td> <td> 1190 (41.7%) </td> <td> 2027 (43.7%) </td> </tr> <tr> <td> <i> High (20–30%) </i> </td> <td> 274 (15.4%) </td> <td> 526 (18.4%) </td> <td> 800 (17.2%) </td> </tr> <tr> <td> <i> Very high (>30%) </i> </td> <td> 637 (35.7%) </td> <td> 1037 (36.3%) </td> <td> 1674 (36.1%) </td> </tr> </tbody> </table> </body> </html>
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</tr> </thead> <tbody> <tr> <td> FBXO12B </td> <td> Upper </td> <td> ATTTGCCTCGTTTGCCTCTGA </td> <td> 49°C </td> <td> 890 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> GGTTATCCTGTCTTCCCTTCT </td> <td> </td> <td> </td> </tr> <tr> <td> FBXO12D </td> <td> Upper </td> <td> AGCCCTGTCCTTTTCCTGTCA </td> <td> 50°C </td> <td> 491 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> AATAGTCTGGTTTCCCCTCAC </td> <td> </td> <td> </td> </tr> <tr> <td> Tcl1b3 </td> <td> Upper </td> <td> TGGTAGACAGTGGGTAGTTGC </td> <td> 54°C </td> <td> 585 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> CAGGTGGAGGAGTTTGAATGG </td> <td> </td> <td> </td> </tr> <tr> <td> Tcl1b4 </td> <td> Upper </td> <td> TAAGAAGGCAGCCAACCAGAC </td> <td> 54°C </td> <td> 838 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> CTACCCAGCACCAGGCGAACT </td> <td> </td> <td> </td> </tr> <tr> <td> Tcl1 </td> <td> Upper </td> <td> TTTTATCACGGACTGGCATTG </td> <td> 54°C </td> <td> 1208 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> CCCTCATTTATTGGCATCTCG </td> <td> </td> <td> </td> </tr> <tr> <td> SpeerA </td> <td> Upper </td> <td> TGAAGCAGGAAAATAGGAGA </td> <td> 51°C </td> <td> 900 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> CCAAACAGAAAACCAAACAC </td> <td> </td> <td> </td> </tr> <tr> <td> AK076711 </td> <td> Upper </td> <td> GGCTCCCAGAGGCTGAATCA </td> <td> 61°C </td> <td> 769 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> TAAGGGTGTCCAAAGAATCA </td> <td> </td> <td> </td> </tr> <tr> <td> Oosp3 </td> <td> Upper </td> <td> TATTTGGGATGTGGAGATGTT </td> <td> 52°C </td> <td> 416 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> TTGAGGAGGAGGGTGGAAGTC </td> <td> </td> <td> </td> </tr> <tr> <td> Actin </td> <td> Upper </td> <td> ACGGAACCACAGTTTATCATC </td> <td> 60°C </td> <td> 180 pb </td> </tr> <tr> <td> </td> <td> Lower </td> <td> GTCCCAGTCTTCAACTATACC </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>
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colspan="3"> <b> Validation slide </b> </td> <td colspan="2"> <b> 5 % low spot filter </b> </td> <td> <b> 40 % low spot filter </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> 1 </td> <td> 2 </td> <td> 3 </td> <td> CV (%) </td> <td> Spots (%) </td> <td> CV (%) </td> </tr> <tr> <td> A-I </td> <td> x </td> <td> x </td> <td> x </td> <td> 27.3 </td> <td> 89.5 </td> <td> 17.4 </td> </tr> <tr> <td> A-I </td> <td> x </td> <td> </td> <td> </td> <td> 21.6 </td> <td> 88.7 </td> <td> 13.4 </td> </tr> <tr> <td> A-I </td> <td> </td> <td> x </td> <td> </td> <td> 26.1 </td> <td> 88.9 </td> <td> 17.3 </td> </tr> <tr> <td> A-I </td> <td> </td> <td> </td> <td> x </td> <td> 24.6 </td> <td> 91.1 </td> <td> 16.5 </td> </tr> <tr> <td> A </td> <td> x </td> <td> x </td> <td> x </td> <td> 16.4 </td> <td> 86 </td> <td> 12.5 </td> </tr> <tr> <td> B </td> <td> x </td> <td> x </td> <td> x </td> <td> 13 </td> <td> 84.3 </td> <td> 9.4 </td> </tr> <tr> <td> C </td> <td> x </td> <td> x </td> <td> x </td> <td> 14 </td> <td> 94.5 </td> <td> 8.6 </td> </tr> <tr> <td> D </td> <td> x </td> <td> x </td> <td> x </td> <td> 16.7 </td> <td> 92.1 </td> <td> 11.1 </td> </tr> <tr> <td> E </td> <td> x </td> <td> x </td> <td> x </td> <td> 9.2 </td> <td> 90.4 </td> <td> 6.7 </td> </tr> <tr> <td> F </td> <td> x </td> <td> x </td> <td> x </td> <td> 27.5 </td> <td> 87.3 </td> <td> 20.2 </td> </tr> <tr> <td> G </td> <td> x </td> <td> x </td> <td> x </td> <td> 16.5 </td> <td> 88.5 </td> <td> 10.3 </td> </tr> <tr> <td> H </td> <td> x </td> <td> x </td> <td> x </td> <td> 23.8 </td> <td> 91 </td> <td> 15.1 </td> </tr> <tr> <td> I </td> <td> x </td> <td> x </td> <td> x </td> <td> 18.1 </td> <td> 92.2 </td> <td> 12.4 </td> </tr> </tbody> </table> </body> </html>
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</td> </tr> <tr> <td> 1 day SOM treatment </td> <td> Acute: 240.3 ± 21.30 </td> <td> Uninf.: 131.6 ± 19.34Chronic: 226.3 ± 5.41 <b> p-value: 0.01 </b> </td> <td> Acute: 240.3 ± 21.30Chronic: 226.3 ± 5.41p-value: 0.71 (NS) </td> </tr> <tr> <td> 2 day SOM treatment </td> <td> Uninf.: 136.9 ± 11.69Acute: 234.2 ± 23.65 <b> p-value: 0.008 </b> Acute (untreated): 297.3 ± 37.24Acute (2d SOM): 234.2 ± 23.65p-value: 0.28 </td> <td> Uninf.: 151.6 ± 41.45Chronic: 247.9 ± 13.11p-value: 0.11 (NS)Chronic (untreated): 206.1 ± 13.30Chronic (2d SOM): 247.9 ± 13.11 <b> p-value: 0.06 (BL) </b> </td> <td> Uninf. (17 wks.): 136.9 ± 11.69Uninf. (21 wks.): 151.6 ± 41.45p-value: 0.9 (NS)Acute: 234.2 ± 23.65Chronic: 247.9 ± 13.11p-value: 0.73 (NS) </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 colspan="7"> <b> Oneway Analysis of CI By Program t-Test </b> </td> </tr> <tr> <td> </td> <td> <b> Difference </b> </td> <td> <b> t-Test </b> </td> <td> <b> DF </b> </td> <td> <b> Prob>/t/ </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Estimate </td> <td> -0.0648 </td> <td> -0.063 </td> <td> 101 </td> <td> 0.9501 </td> <td> </td> <td> </td> </tr> <tr> <td> Std Error </td> <td> 1.0331 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lower 95% </td> <td> -2.1141 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Upper 95% </td> <td> 1.9847 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Means and Standard Deviations Level </td> <td> Number </td> <td> Mean </td> <td> Std Dev </td> <td> Std Err Mean </td> <td> Lower 95% </td> <td> Upper 95% </td> </tr> <tr> <td> Decompress </td> <td> 59 </td> <td> 59.0586 </td> <td> 5.34525 </td> <td> 0.69589 </td> <td> 57.666 </td> <td> 60.452 </td> </tr> <tr> <td> Repeat </td> <td> 44 </td> <td> 59.1234 </td> <td> 4.9646 </td> <td> 0.74849 </td> <td> 57.614 </td> <td> 60.633 </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 colspan="7"> <b> Oneway Analysis of Step One By Program t-Test </b> </td> </tr> <tr> <td> </td> <td> <b> Difference </b> </td> <td> <b> t-Test </b> </td> <td> <b> DF </b> </td> <td> <b> Prob>/t/ </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Estimate </td> <td> -0.52616 </td> <td> -2.685 </td> <td> 57 </td> <td> 0.0095 </td> <td> </td> <td> </td> </tr> <tr> <td> Std Error </td> <td> 0.19594 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lower 95% </td> <td> -0.91852 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Upper 95% </td> <td> -0.13381 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Means and Standard Deviations Level </td> <td> Number </td> <td> Mean </td> <td> Std Dev </td> <td> Std Err Mean </td> <td> Lower 95% </td> <td> Upper 95% </td> </tr> <tr> <td> Decompress </td> <td> 43 </td> <td> 1.34884 </td> <td> 0.612711 </td> <td> 0.09344 </td> <td> 1.1603 </td> <td> 1.5374 </td> </tr> <tr> <td> Repeat </td> <td> 16 </td> <td> 1.875 </td> <td> 0.806226 </td> <td> 0.20156 </td> <td> 1.4454 </td> <td> 2.3046 </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 colspan="7"> <b> Oneway Analysis of Step 2 By Program t-Test </b> </td> </tr> <tr> <td> </td> <td> <b> Difference </b> </td> <td> <b> t-Test </b> </td> <td> <b> DF </b> </td> <td> <b> Prob>/t/ </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Estimate </td> <td> -0.11712 </td> <td> -0.587 </td> <td> 47 </td> <td> 0.5598 </td> <td> </td> <td> </td> </tr> <tr> <td> Std Error </td> <td> 0.19942 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lower 95% </td> <td> -0.5183 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Upper 95% </td> <td> 0.28407 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Means and Standard Deviations Level </td> <td> Number </td> <td> Mean </td> <td> Std Dev </td> <td> Std Err Mean </td> <td> Lower 95% </td> <td> Upper 95% </td> </tr> <tr> <td> Decompress </td> <td> 37 </td> <td> 1.21622 </td> <td> 0.583816 </td> <td> 0.09598 </td> <td> 1.0216 </td> <td> 1.4109 </td> </tr> <tr> <td> Repeat </td> <td> 12 </td> <td> 1.33333 </td> <td> 0.651339 </td> <td> 0.18803 </td> <td> 0.9195 </td> <td> 1.7472 </td> </tr> </tbody> </table> </body> </html>
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frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> </td> <td> <b> Indiann (%)n = 136 </b> </td> <td> <b> Pakistanin (%)n = 238 </b> </td> <td> <b> Bangladeshin (%)n = 20 </b> </td> </tr> </thead> <tbody> <tr> <td> Mean (SD) age, years </td> <td> 61.0 (12.6) </td> <td> 61.0 (12.4) </td> <td> 63.1 (7.3) </td> </tr> <tr> <td> Males n, (%) </td> <td> 96 (70.6) </td> <td> 184 (77.3) </td> <td> 15 (75) </td> </tr> <tr> <td> Mean (SD) IMD score </td> <td> 35.95 (15.8) </td> <td> 47.8 (15.7) </td> <td> 48.9 (14.4) </td> </tr> <tr> <td> Any exclusion </td> <td> 40 (29.4) </td> <td> 151 (63.4) </td> <td> 14 (70) </td> </tr> <tr> <td> Reason for exclusion (more than one may apply) n (%) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <sup> a </sup> Language </td> <td> 10 (7.5) </td> <td> 94 (39.8) </td> <td> 11 (55) </td> </tr> <tr> <td> <sup> b </sup> High cardiac risk </td> <td> 15 (11) </td> <td> 33 (13.9) </td> <td> 1 (5) </td> </tr> <tr> <td> <sup> c </sup> Comorbidity </td> <td> 8 (5.9) </td> <td> 19 (8.0) </td> <td> 0 (0) </td> </tr> <tr> <td> Excluded for language only: </td> <td> </td> <td> </td> <td> 1 </td> </tr> <tr> <td> All n (%) </td> <td> 7 (5.1) </td> <td> 78 (32.8) </td> <td> 1 (55) </td> </tr> <tr> <td> Aged <65 years </td> <td> 3 (3.4) </td> <td> 34 (24.8) </td> <td> 4 (40) </td> </tr> <tr> <td> 65+ </td> <td> 4 (8.2) p = 0.2 </td> <td> 44 (43.6) p = 0.002 </td> <td> 7 (87.5) p = 0.2 </td> </tr> <tr> <td> Gender males </td> <td> 4 (4.2) </td> <td> 51 (27.7) </td> <td> 6 (40) </td> </tr> <tr> <td> females </td> <td> 3 (7.5) p = 0.4 </td> <td> 27 (50) p = 0.003 </td> <td> 5 (100) p = 0.04 </td> </tr> <tr> <td> Total recruited n </td> <td> 50 </td> <td> 31 </td> <td> 4 </td> </tr> <tr> <td> (% of eligible) </td> <td> (52.1) </td> <td> (35.6) </td> <td> </td> </tr> <tr> <td> (% of all presenting) </td> <td> (36.8) </td> <td> (13) </td> <td> (20) </td> </tr> <tr> <td> RR of ineligibility (95%CI)* </td> <td> 0.89 (0.6, 1.3) </td> <td> 4.0 (2.9, 5.5) </td> <td> 4.4 (1.6, 11.8) </td> </tr> </tbody> </table> </body> </html>
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<td> <b> Lower </b> </td> <td> <b> Upper </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Sex of infants </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Boy </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> Girl </td> <td> 0.85 </td> <td> 0.72 </td> <td> 1.00 </td> <td> 0.84 </td> <td> 0.71 </td> <td> 0.99 </td> </tr> <tr> <td> <i> Education of mother </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Primary </td> <td> 1.99 </td> <td> 1.52 </td> <td> 2.62 </td> <td> 2.80 </td> <td> 2.12 </td> <td> 3.72 </td> </tr> <tr> <td> Vocational </td> <td> 0.97 </td> <td> 0.72 </td> <td> 1.31 </td> <td> 2.24 </td> <td> 1.62 </td> <td> 3.10 </td> </tr> <tr> <td> Secondary </td> <td> 1.16 </td> <td> 0.90 </td> <td> 1.50 </td> <td> 1.87 </td> <td> 1.44 </td> <td> 2.44 </td> </tr> <tr> <td> University </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> P for trend </td> <td> <i> <0.001 </i> </td> <td> </td> <td> </td> <td> <i> <0.001 </i> </td> <td> </td> <td> </td> </tr> <tr> <td> <i> Maternal age </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> -19 </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> 20–22 </td> <td> 1.32 </td> <td> 0.84 </td> <td> 2.08 </td> <td> 1.66 </td> <td> 0.95 </td> <td> 2.92 </td> </tr> <tr> <td> 23–25 </td> <td> 1.45 </td> <td> 0.94 </td> <td> 2.26 </td> <td> 2.05 </td> <td> 1.14 </td> <td> 3.68 </td> </tr> <tr> <td> 26–28 </td> <td> 1.40 </td> <td> 0.90 </td> <td> 2.17 </td> <td> 2.18 </td> <td> 1.20 </td> <td> 3.99 </td> </tr> <tr> <td> 29–31 </td> <td> 1.71 </td> <td> 1.12 </td> <td> 2.63 </td> <td> 2.74 </td> <td> 1.49 </td> <td> 5.04 </td> </tr> <tr> <td> 32–34 </td> <td> 3.29 </td> <td> 2.20 </td> <td> 4.92 </td> <td> 5.47 </td> <td> 3.00 </td> <td> 9.98 </td> </tr> <tr> <td> 35–37 </td> <td> 3.72 </td> <td> 2.45 </td> <td> 5.66 </td> <td> 6.27 </td> <td> 3.37 </td> <td> 11.64 </td> </tr> <tr> <td> 38–40 </td> <td> 8.21 </td> <td> 5.43 </td> <td> 12.40 </td> <td> 12.34 </td> <td> 6.61 </td> <td> 23.05 </td> </tr> <tr> <td> 41–43 </td> <td> 20.07 </td> <td> 13.12 </td> <td> 30.71 </td> <td> 28.42 </td> <td> 14.98 </td> <td> 53.91 </td> </tr> <tr> <td> 44+ </td> <td> 19.40 </td> <td> 10.30 </td> <td> 36.55 </td> <td> 27.57 </td> <td> 12.22 </td> <td> 62.21 </td> </tr> <tr> <td> <i> Paternal age </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> -19 </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> 20–22 </td> <td> 1.11 </td> <td> 0.59 </td> <td> 2.10 </td> <td> 0.85 </td> <td> 0.44 </td> <td> 1.67 </td> </tr> <tr> <td> 23–25 </td> <td> 1.13 </td> <td> 0.61 </td> <td> 2.06 </td> <td> 0.69 </td> <td> 0.35 </td> <td> 1.37 </td> </tr> <tr> <td> 26–28 </td> <td> 1.27 </td> <td> 0.71 </td> <td> 2.29 </td> <td> 0.65 </td> <td> 0.32 </td> <td> 1.31 </td> </tr> <tr> <td> 29–31 </td> <td> 1.92 </td> <td> 1.09 </td> <td> 3.38 </td> <td> 0.83 </td> <td> 0.41 </td> <td> 1.66 </td> </tr> <tr> <td> 32–34 </td> <td> 1.94 </td> <td> 1.10 </td> <td> 3.43 </td> <td> 0.67 </td> <td> 0.33 </td> <td> 1.37 </td> </tr> <tr> <td> 35–37 </td> <td> 2.55 </td> <td> 1.44 </td> <td> 4.51 </td> <td> 0.68 </td> <td> 0.33 </td> <td> 1.40 </td> </tr> <tr> <td> 38–40 </td> <td> 2.47 </td> <td> 1.36 </td> <td> 4.49 </td> <td> 0.54 </td> <td> 0.26 </td> <td> 1.13 </td> </tr> <tr> <td> 41–43 </td> <td> 6.33 </td> <td> 3.55 </td> <td> 11.27 </td> <td> 1.02 </td> <td> 0.49 </td> <td> 2.11 </td> </tr> <tr> <td> 44+ </td> <td> 6.37 </td> <td> 3.58 </td> <td> 11.34 </td> <td> 0.86 </td> <td> 0.41 </td> <td> 1.79 </td> </tr> </tbody> </table> </body> </html>
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'</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<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> Age of mother </b> </td> <td> <b> 1994 </b> </td> <td> <b> 1995 </b> </td> <td> <b> 1996 </b> </td> <td> <b> 1997 </b> </td> <td> <b> 1998 </b> </td> <td> <b> Total </b> </td> </tr> </thead> <tbody> <tr> <td> -19 </td> <td> 6.26 </td> <td> 8.45 </td> <td> 4.90 </td> <td> 5.74 </td> <td> 8.25 </td> <td> <b> 6.70 </b> </td> </tr> <tr> <td> 20–22 </td> <td> 5.36 </td> <td> 6.16 </td> <td> 8.14 </td> <td> 7.66 </td> <td> 11.01 </td> <td> <b> 7.36 </b> </td> </tr> <tr> <td> 23–25 </td> <td> 5.62 </td> <td> 8.13 </td> <td> 9.15 </td> <td> 8.90 </td> <td> 7.35 </td> <td> <b> 7.80 </b> </td> </tr> <tr> <td> 26–28 </td> <td> 7.60 </td> <td> 9.27 </td> <td> 6.23 </td> <td> 8.14 </td> <td> 11.82 </td> <td> <b> 8.69 </b> </td> </tr> <tr> <td> 29–31 </td> <td> 12.96 </td> <td> 6.68 </td> <td> 6.80 </td> <td> 9.60 </td> <td> 16.35 </td> <td> <b> 10.57 </b> </td> </tr> <tr> <td> 32–34 </td> <td> 26.79 </td> <td> 13.14 </td> <td> 26.73 </td> <td> 14.56 </td> <td> 31.52 </td> <td> <b> 22.66 </b> </td> </tr> <tr> <td> 35–37 </td> <td> 21.02 </td> <td> 36.90 </td> <td> 48.87 </td> <td> 45.26 </td> <td> 52.05 </td> <td> <b> 40.93 </b> </td> </tr> <tr> <td> 38–40 </td> <td> 125.28 </td> <td> 96.85 </td> <td> 86.68 </td> <td> 102 </td> <td> 92.88 </td> <td> <b> 101.07 </b> </td> </tr> <tr> <td> 41–43 </td> <td> 306.12 </td> <td> 187.2 </td> <td> 305.6 </td> <td> 292.4 </td> <td> 400 </td> <td> <b> 297.03 </b> </td> </tr> <tr> <td> 44+ </td> <td> 333.33 </td> <td> 615.4 </td> <td> 169.5 </td> <td> 204.1 </td> <td> 317.5 </td> <td> <b> 337.84 </b> </td> </tr> <tr> <td> <b> Total </b> </td> <td> <b> 10.94 </b> </td> <td> <b> 11 </b> </td> <td> <b> 12.34 </b> </td> <td> <b> 12.32 </b> </td> <td> <b> 16.29 </b> </td> <td> <b> 12.50 </b> </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> </td> <td> <b> Rosuvastatin (n = 232) </b> </td> <td> <b> Atorvastatin (n = 233) </b> </td> </tr> </thead> <tbody> <tr> <td> Gender, male/female (%) </td> <td> 128/104 (55.2/44.8) </td> <td> 136/97 (58.4/41.6) </td> </tr> <tr> <td> Race, white (%) </td> <td> 229 (98.7) </td> <td> 229 (98.3) </td> </tr> <tr> <td> Mean age, years (SD) </td> <td> 63.5 (8.8) </td> <td> 65.0 (8.6) </td> </tr> <tr> <td> Mean weight, kg (SD) </td> <td> 84.8 (14.3) </td> <td> 82.5 (13.5) </td> </tr> <tr> <td> Mean BMI, kg/m <sup> 2 </sup> (SD) </td> <td> 29.0 (3.6) </td> <td> 28.4 (3.6) </td> </tr> <tr> <td> Mean baseline LDL-C, mmol/L (SD) </td> <td> 4.6 (0.85) </td> <td> 4.6 (0.82) <sup> a </sup> </td> </tr> <tr> <td> Mean baseline HDL-C, mmol/L (SD) </td> <td> 1.2 (0.27) </td> <td> 1.2 (0.27) <sup> a </sup> </td> </tr> <tr> <td> Mean baseline TG, mmol/L (SD) </td> <td> 2.0 (1.0) </td> <td> 2.0 (0.93) <sup> a </sup> </td> </tr> </tbody> </table> </body> </html>
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<td> -4.1 (-5.8, -2.4) </td> <td> < 0.0001 </td> </tr> <tr> <td> HDL-C </td> <td> 5.3 </td> <td> 4.0 </td> <td> 1.3 (-1.3, 3.8) </td> <td> NS </td> </tr> <tr> <td> TG </td> <td> -21.2 </td> <td> -21.1 </td> <td> -0.1 (-5.6, 5.3) </td> <td> NS </td> </tr> <tr> <td> Non-HDL-C </td> <td> -45.0 </td> <td> -39.6 </td> <td> -5.5 (-7.4, -3.5) </td> <td> < 0.0001 </td> </tr> <tr> <td> LDL-C/HDL-C ratio </td> <td> -54.1 </td> <td> -47.0 </td> <td> -7.1 (-9.3, -4.9) </td> <td> < 0.0001 </td> </tr> <tr> <td> Non-HDL-C/HDL-C ratio </td> <td> -47.1 </td> <td> -40.9 </td> <td> -6.2 (-8.6, -3.9) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC/HDL-C ratio </td> <td> -38.0 </td> <td> -33.1 </td> <td> -5.0 (-6.9, -3.0) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo B </td> <td> -45.2 </td> <td> -40.1 </td> <td> -5.1 (-7.2, -3.1) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo A-I </td> <td> 2.6 </td> <td> -0.2 </td> <td> 2.8 (1.0, 4.6) </td> <td> 0.0024 </td> </tr> <tr> <td> Apo B/apo A-I ratio </td> <td> -46.3 </td> <td> -39.6 </td> <td> -6.7 (-8.9, -4.6) </td> <td> < 0.0001 </td> </tr> </tbody> </table> </body> </html>
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<td> -5.7 (-7.4, -4.0) </td> <td> < 0.0001 </td> </tr> <tr> <td> HDL-C </td> <td> 4.4 </td> <td> 2.6 </td> <td> 1.8 (-0.5, 4.0) </td> <td> NS </td> </tr> <tr> <td> TG </td> <td> -19.2 </td> <td> -15.5 </td> <td> -3.7 (-9.5, 2.2) </td> <td> NS </td> </tr> <tr> <td> Non-HDL-C </td> <td> -42.6 </td> <td> -35.0 </td> <td> -7.6 (-9.6, -5.7) </td> <td> < 0.0001 </td> </tr> <tr> <td> LDL-C/HDL-C ratio </td> <td> -49.3 </td> <td> -39.5 </td> <td> -9.8 (-12.2, -7.4) </td> <td> < 0.0001 </td> </tr> <tr> <td> Non-HDL-C/HDL-C ratio </td> <td> -44.4 </td> <td> -35.9 </td> <td> -8.5 (-10.8, -6.2) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC/HDL-C ratio </td> <td> -35.8 </td> <td> -29.0 </td> <td> -6.7 (-8.7, -4.8) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo B </td> <td> -42.9 </td> <td> -35.3 </td> <td> -7.6 (-9.7, -5.6) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo A-I </td> <td> 2.6 </td> <td> 0.8 </td> <td> 1.8 (0, 3.5) </td> <td> 0.05 </td> </tr> <tr> <td> Apo B/apo A-I ratio </td> <td> -43.9 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AIDS;P2A,D1,3,F </td> </tr> <tr> <td> MD </td> <td> 31 yr </td> <td> </td> <td> 480 </td> <td> 2 yr6 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> ID </td> <td> 28 mo </td> <td> M </td> <td> 46 </td> <td> 28 mo </td> <td> ddC <sup> c </sup> </td> <td> Symptomatic AIDS, P2AB,F; failed ZDV therapy </td> </tr> <tr> <td> MF </td> <td> 23 yr </td> <td> </td> <td> 692 </td> <td> 2 yr10 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IF </td> <td> 1 wk </td> <td> M </td> <td> 2953 </td> <td> 1 wk </td> <td> ZDV </td> <td> Asymptomatic,P1A </td> </tr> <tr> <td> MH </td> <td> 33 yr </td> <td> </td> <td> 538 </td> <td> 5 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IHT1 </td> <td> 7 mo </td> <td> F </td> <td> 3157 </td> <td> 7 mo </td> <td> ACTG152 </td> <td> Hepatosplenomeglay lymphadenopathy </td> </tr> <tr> <td> IHT2 </td> <td> 7 mo </td> <td> F </td> <td> 2176 </td> <td> 7 mo </td> <td> ACTG152 </td> <td> Hepatosplenomegaly lymphadenopathy </td> </tr> </tbody> </table> </body> </html>
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</b> </td> <td> <b> ENR </b> </td> </tr> </thead> <tbody> <tr> <td> TCTAAT </td> <td> 595 </td> <td> 29 </td> <td> 30 </td> <td> 47 </td> <td> 46 </td> <td> 7.731092 </td> <td> </td> </tr> <tr> <td> TAGAAT </td> <td> 507 </td> <td> 25 </td> <td> 23 </td> <td> 36 </td> <td> 71 </td> <td> 14.00394 </td> <td> * </td> </tr> <tr> <td> TATAGT </td> <td> 681 </td> <td> 19 </td> <td> 38 </td> <td> 30 </td> <td> 87 </td> <td> 12.77533 </td> <td> * </td> </tr> <tr> <td> TATAAG </td> <td> 879 </td> <td> 45 </td> <td> 32 </td> <td> 67 </td> <td> 102 </td> <td> 11.6041 </td> <td> * </td> </tr> <tr> <td> TACAAT </td> <td> 903 </td> <td> 42 </td> <td> 56 </td> <td> 71 </td> <td> 109 </td> <td> 12.07087 </td> <td> * </td> </tr> <tr> <td> TATAAC </td> <td> 1590 </td> <td> 65 </td> <td> 80 </td> <td> 94 </td> <td> 121 </td> <td> 7.610063 </td> <td> </td> </tr> <tr> <td> TATGAT </td> <td> 1539 </td> <td> 63 </td> <td> 111 </td> <td> 94 </td> <td> 127 </td> <td> 8.252112 </td> <td> </td> </tr> <tr> <td> TATACT </td> <td> 620 </td> <td> 39 </td> <td> 40 </td> <td> 62 </td> <td> 131 </td> <td> 21.12903 </td> <td> * </td> </tr> <tr> <td> CATAAT </td> <td> 2448 </td> <td> 90 </td> <td> 106 </td> <td> 115 </td> <td> 132 </td> <td> 5.392157 </td> <td> </td> </tr> <tr> <td> TATAAT </td> <td> 1036 </td> <td> 58 </td> <td> 68 </td> <td> 78 </td> <td> 134 </td> <td> 12.93436 </td> <td> * </td> </tr> <tr> <td> TGTAAT </td> <td> 1870 </td> <td> 74 </td> <td> 80 </td> <td> 129 </td> <td> 140 </td> <td> 7.486631 </td> <td> </td> </tr> <tr> <td> TATCAT </td> <td> 2082 </td> <td> 101 </td> <td> 96 </td> <td> 128 </td> <td> 164 </td> <td> 7.877041 </td> <td> </td> </tr> <tr> <td> TATATT </td> <td> 1943 </td> <td> 87 </td> <td> 130 </td> <td> 145 </td> <td> 168 </td> <td> 8.646423 </td> <td> </td> </tr> <tr> <td> TATTAT </td> <td> 2280 </td> <td> 118 </td> <td> 124 </td> <td> 155 </td> <td> 178 </td> <td> 7.807018 </td> <td> </td> </tr> <tr> <td> GATAAT </td> <td> 3735 </td> <td> 125 </td> <td> 140 </td> <td> 172 </td> <td> 201 </td> <td> 5.381526 </td> <td> </td> </tr> <tr> <td> TATAAA </td> <td> 2304 </td> <td> 98 </td> <td> 144 </td> <td> 177 </td> <td> 236 </td> <td> 10.24306 </td> <td> * </td> </tr> <tr> <td> TTTAAT </td> <td> 3671 </td> <td> 182 </td> <td> 205 </td> <td> 219 </td> <td> 249 </td> <td> 6.782893 </td> <td> </td> </tr> <tr> <td> TAAAAT </td> <td> 2947 </td> <td> 142 </td> <td> 159 </td> <td> 204 </td> <td> 268 </td> <td> 9.093994 </td> <td> </td> </tr> <tr> <td> AATAAT </td> <td> 4132 </td> <td> 188 </td> <td> 201 </td> <td> 287 </td> <td> 287 </td> <td> 6.945789 </td> <td> </td> </tr> </tbody> </table> </body> </html>
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<td> 9 (13.6) </td> </tr> <tr> <td> Chuang, 1991 [75] </td> <td> Taiwan </td> <td> NR </td> <td> 128 </td> <td> <b> 87 (68.0) </b> </td> <td> 13 (10.1) </td> <td> 12 (9.4) </td> <td> 16 (12.5) </td> </tr> <tr> <td> Lee, 1992 [76] </td> <td> Taiwan </td> <td> NR </td> <td> 326 </td> <td> <b> 233 (71.5) </b> </td> <td> 31 (9.5) </td> <td> 10 (3.1) </td> <td> 52 (15.9) </td> </tr> <tr> <td> Jeng, 1991 [77] </td> <td> Taiwan </td> <td> NR </td> <td> 129 </td> <td> <b> 62 (48.1) </b> </td> <td> 29 (22.5) </td> <td> 19 (14.7) </td> <td> 19 (14.7) </td> </tr> <tr> <td> Leung, 1992 [78] </td> <td> Hong Kong </td> <td> 1986–90 </td> <td> 424 </td> <td> <b> 341 (80.3) </b> </td> <td> 16 (3.8) </td> <td> 15 (4.0) </td> <td> 52 (12.3) </td> </tr> <tr> <td> Nishioka, 1990 [79] </td> <td> Japan </td> <td> NR </td> <td> 180 </td> <td> 64 (35.6) </td> <td> <b> 80 (44.4) </b> </td> <td> 11 (6.1) </td> <td> 25 (13.9) </td> </tr> <tr> <td> Saito, 1990 [80] </td> <td> Japan </td> <td> NR </td> <td> 253 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font-size: 10px; } </style> </head> <body> <table frame="hsides" rules="groups" width="100%"> <thead> <tr> <td> <b> Author [reference] </b> </td> <td> <b> Country </b> </td> <td> <b> Number/100,000 era 1 </b> </td> <td> <b> Number/100,000 era 2 </b> </td> </tr> </thead> <tbody> <tr> <td> El Serag, 1999 [95] </td> <td> USA </td> <td> 1976–80: 1.4 </td> <td> 1991–95: 2.4 </td> </tr> <tr> <td> El Serag, 2000 [96] </td> <td> USA </td> <td> 1993–95: 2.3 </td> <td> 1996–98: 7.0 </td> </tr> <tr> <td> Benhamiche, 1998 [97] (men) </td> <td> France </td> <td> 1976–79: 7.5 </td> <td> 1992–95: 10.2 </td> </tr> <tr> <td> Stroffolini, 1998 [89] </td> <td> Italy </td> <td> 1969: 4.8 </td> <td> 1994: 10.9 </td> </tr> <tr> <td> Law, 2000 [98] (men) </td> <td> Australia </td> <td> 1983–85: 2.1 </td> <td> 1995–96: 4.0 </td> </tr> <tr> <td> Nishioka, 1991 [79] </td> <td> Japan </td> <td> 1968–77: 9.5 </td> <td> 1984–85: 16.0 </td> </tr> <tr> <td> Yoshizawa, 2002 [99] </td> <td> Japan </td> <td> 1980: ca 10 </td> <td> 2000: ca 40 </td> </tr> </tbody> </table> </body> </html>
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<b> <i> Number of cases </i> </b> </td> <td> <b> <i> Authors </i> </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Retroperitoneu </b> m </td> <td> 97 </td> <td> Seco <i> et al </i> [5], Bapat <i> et al </i> [12], Yamakita <i> et al </i> [13], Morishita <i> et al </i> [14], Genoni <i> et al </i> [15], Ng <i> et al </i> [16], Baikovas <i> et al </i> [17], Johnson <i> et al </i> [18], Martino <i> et al </i> [19], Guglielmi <i> et al </i> [20], Ziv <i> et al </i> [21], Gheysens <i> et al </i> [9], Halvic <i> et al </i> [22], Herrada <i> et al </i> [23], Furuhata <i> et al </i> [24], Ebine <i> et al </i> [25], Sadamoto <i> et al </i> [26], Gravalos <i> et al </i> . [27], Iwamoto <i> et al </i> [28], Sanna <i> et al </i> [29], Singletary <i> et al </i> [30], Curciacrello <i> et al </i> [31], Gonzalez Sanchez <i> et al </i> [32], Schutz <i> et al </i> [33], Perez Garcia <i> et al </i> [34], Irsutti <i> et al </i> [35], Parez <i> et al </i> [36], Buchanan <i> et al </i> [37] </td> </tr> <tr> <td> <i> Peri-renal </i> </td> <td> 24 </td> <td> Ebisno <i> et al </i> . [38], Inoue <i> et al </i> . [39], Takihara <i> et al </i> . [40],,Feudis <i> et al </i> [41], Barret <i> et al </i> . [42], Okada <i> et al </i> [43], Present two cases </td> </tr> <tr> <td> Mesentery </td> <td> 27 </td> <td> Seco <i> et al </i> . [5], Barki <i> et al </i> . [44], Hung <i> et al </i> . [45], Schroff <i> et al </i> . [46], Makipernaa <i> et al </i> . [47], De Heer-Groen <i> et al </i> [48], Parez <i> et al </i> [36], Neerhout <i> et al </i> [49], Powel <i> et al </i> [50], Burke <i> et al </i> [51] </td> </tr> <tr> <td> Greater omentum </td> <td> 3 </td> <td> Volta <i> et al </i> [52], Kiguchi <i> et al </i> [53] </td> </tr> <tr> <td> Gastric </td> <td> 2 </td> <td> Kiguchi <i> et al </i> [53], Yebra <i> et al </i> [54] </td> </tr> <tr> <td> Peri-pancreatic </td> <td> 5 </td> <td> Kiguchi <i> et al </i> [53], Rotman <i> et al </i> [55], Brossard <i> et al </i> [56], Inoue <i> et al </i> [39], Erkan <i> et al </i> [57] </td> </tr> <tr> <td> Pancreatic </td> <td> 3 </td> <td> Chaulin <i> et al </i> [58], Corbisier <i> et al </i> [59], Lepke <i> et al </i> [60] </td> </tr> <tr> <td> Porta hepatitis </td> <td> 5 </td> <td> Rahmouni <i> et al </i> [61], Farkas <i> et al </i> [62], Peck <i> et al </i> [63], Cirillo <i> et al </i> [64] </td> </tr> <tr> <td> Adrenal gland </td> <td> 1 </td> <td> Debatin <i> et al </i> [65] </td> </tr> <tr> <td> Pelvis </td> <td> 27 </td> <td> Seco <i> et al </i> [5], Latte <i> et al </i> [66], Daley <i> et al </i> [67], Boxer <i> et al </i> . [68], Tsukamoto <i> et al </i> [69], Luburich <i> et al </i> [70], Isik <i> et al </i> [71], Ylinen <i> et al </i> [72], Schwartz <i> et al </i> [73], Mondal <i> et al </i> [74], Kiguchi <i> et al </i> [53], Calvo Villas <i> et al </i> [75], Mac Donald <i> et al </i> [76], Fields <i> et al </i> [77], Kkasantikul <i> et al </i> [78], Halvic <i> et al </i> [22], Murphy <i> et al </i> [79] </td> </tr> <tr> <td> Spleen </td> <td> 1 </td> <td> Taura <i> et al </i> [80] </td> </tr> <tr> <td> <b> <i> Total of cases </i> </b> </td> <td> <b> <i> 195 </i> </b> </td> <td> </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> Parameters for infants </b> </td> <td colspan="2"> <b> Biological Mothers </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> Normal weight </td> <td> Obese </td> </tr> <tr> <td> Energy intake from formula (kcal/kg) </td> <td> 68.1 ± 17.2 </td> <td> 69.1 ± 20.3 </td> </tr> <tr> <td> Energy intake from complementary foods (kcal/kg) </td> <td> 0 </td> <td> 18.3 ± 2.5 </td> </tr> <tr> <td> Total 24-h energy intake (kcal/kg body weight) <sup> 1 </sup> </td> <td> 68.1 ± 17.2 </td> <td> 87.6 ± 18.9 </td> </tr> <tr> <td> Formula intake (ml/kg body weight) </td> <td> 90.1 ± 16.3 </td> <td> 98.9 ± 35.3 </td> </tr> <tr> <td> Energy intake from CHO (kcal/kg body weight) <sup> 2 </sup> </td> <td> 16 ± 3 </td> <td> 25 ± 6* </td> </tr> <tr> <td> Energy intake from PRO (kcal/kg body weight) <sup> 3 </sup> </td> <td> 4 ± 1 </td> <td> 6 ± 3 </td> </tr> <tr> <td> Energy intake from FAT (kcal/kg body weight) <sup> 4 </sup> </td> <td> 38 ± 10 </td> <td> 38 ± 12 </td> </tr> <tr> <td> Energy intake per feed (kcal/kg body weight) </td> <td> 7.4 ± 1.2 </td> <td> 12.9 ± 4.8 </td> </tr> <tr> <td> Number of feedings (#) </td> <td> 9.3 ± 2.1 </td> <td> 7.3 ± 2.2 </td> </tr> <tr> <td> Duration of each feeding (min) </td> <td> 33 ± 6 </td> <td> 26 ± 5 </td> </tr> <tr> <td> Average time between feedings over 24-hours (min) </td> <td> 127 ± 28 </td> <td> 188 ± 39 </td> </tr> <tr> <td> Average time between feedings over the day (min) </td> <td> 88 ± 32 </td> <td> 108 ± 43 </td> </tr> <tr> <td> Total 24-hr total feeding time (min) </td> <td> 298 ± 32 </td> <td> 176 ± 22* </td> </tr> <tr> <td> Total 24-hr interaction time (min) </td> <td> 570 ± 13 </td> <td> 381 ± 58* </td> </tr> <tr> <td> Total interaction time one hour prior to feedings (min) </td> <td> 157 ± 29 </td> <td> 68 ± 34* </td> </tr> <tr> <td> Number of infants who had night time feedings </td> <td> 3 </td> <td> 3 </td> </tr> <tr> <td> Total sleeping time (min) </td> <td> 682 ± 32 </td> <td> 783 ± 38* </td> </tr> </tbody> </table> </body> </html>

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train

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train

40,105

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train

176,447

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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> <b> Half-life (days) </b> </td> </tr> </thead> <tbody> <tr> <td> Control </td> <td> 1.9 ± 0.2 </td> </tr> <tr> <td> TGFβ1 </td> <td> 1.9 ± 0.2 </td> </tr> </tbody> </table> </body> </html>

train

130,105

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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> Number of metaphases I/mm </b> </td> <td colspan="3"> <b> Number of metaphases II/mm </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Days of coculture </b> </td> <td> <b> Control </b> </td> <td> </td> <td> <b> TGFβ1 </b> </td> <td> <b> Control </b> </td> <td> </td> <td> <b> TGFβ1 </b> </td> </tr> <tr> <td> 1 </td> <td> 0.09 ± 0.02 </td> <td> NT </td> <td> 0.03 ± 0.01 </td> <td> 1.8 ± 0.3 </td> <td> NS </td> <td> 1.8 ± 0.3 </td> </tr> <tr> <td> 3 </td> <td> 0.15 ± 0.04 </td> <td> NT </td> <td> 0.05 ± 0.03 </td> <td> 2.3 ± 0.3 </td> <td> p < 0.01 </td> <td> 3.1 ± 0.4 </td> </tr> <tr> <td> 5 </td> <td> 0.04 ± 0.02 </td> <td> NT </td> <td> 0.03 ± 0.01 </td> <td> 0.7 ± 0.1 </td> <td> p < 0.05 </td> <td> 0.9 ± 0.2 </td> </tr> </tbody> </table> </body> </html>

train

480,272

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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="3"> <b> Total cell number × 10 <sup> 6 </sup> ± SEM </b> </td> <td colspan="3"> <b> % Neutrophils ± SEM </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> <i> Aqueous </i> </td> <td> <i> Soluble </i> </td> <td> <i> Insoluble </i> </td> <td> <i> Aqueous </i> </td> <td> <i> Soluble </i> </td> <td> <i> Insoluble </i> </td> </tr> <tr> <td> <b> Control </b> </td> <td> 2.83 ± 0.34 </td> <td> 3.85 ± 0.59 </td> <td> 3.85 ± 0.59 </td> <td> 3 ± 0.9 </td> <td> 4 ± 0.9 </td> <td> 4 ± 1.0 </td> </tr> <tr> <td> <b> Open </b> </td> <td> 3.40 ± 0.27 </td> <td> 3.02 ± 0.16 </td> <td> 4.16 ± 0.13 </td> <td> 8 ± 1.8 </td> <td> 9 ± 0.9 </td> <td> 10 ± 0.9 </td> </tr> <tr> <td> <b> Closed </b> </td> <td> 3.06 ± 0.29 </td> <td> 3.16 ± 0.18 </td> <td> 2.63 ± 0.46 </td> <td> 8 ± 1.0 </td> <td> 10 ± 0.9 </td> <td> 7 ± 1.0 </td> </tr> <tr> <td> <b> Reopened </b> </td> <td> 3.71 ± 0.38 </td> <td> 2.85 ± 0.74 </td> <td> 3.12 ± 0.17 </td> <td> 25 ± 4 </td> <td> 13 ± 1.5 </td> <td> 10 ± 1.5 </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> M <sub> 3 </sub> R-wt Lungs /slices </b> </td> <td> <b> Diameter [μm] </b> </td> <td> <b> Area [%] 1 </b> </td> <td> <b> Area [%] 2 </b> </td> <td> <b> Area [%] 3 </b> </td> <td> <b> Area [%] 4 </b> </td> <td> <b> p (1 vs. 3) </b> </td> <td> <b> p (2 vs. 4) </b> </td> </tr> </thead> <tbody> <tr> <td> 6/6 </td> <td> 221 ± 10 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -6 </sup> M </td> <td> n.s. </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 53 ± 7 </td> <td> 47 ± 8 </td> <td> 75 ± 7 </td> <td> 69 ± 11 </td> <td> </td> <td> </td> </tr> <tr> <td> 8/9 </td> <td> 204 ± 10 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.01 </td> </tr> <tr> <td> </td> <td> </td> <td> 40 ± 6 </td> <td> 30 ± 6 </td> <td> 64 ± 9 </td> <td> 55 ± 6 </td> <td> </td> <td> </td> </tr> <tr> <td> 6/7 </td> <td> 203 ± 6 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -6 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 41 ± 10 </td> <td> 37 ± 8 </td> <td> 64 ± 10 </td> <td> 56 ± 8 </td> <td> </td> <td> </td> </tr> <tr> <td> 5/6 </td> <td> 197 ± 8 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 42 ± 5 </td> <td> 41 ± 10 </td> <td> 71 ± 7 </td> <td> 69 ± 9 </td> <td> </td> <td> </td> </tr> <tr> <td> M <sub> 3 </sub> R-KO </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 4/4 </td> <td> 205 ± 18 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -6 </sup> M </td> <td> n.s. </td> <td> n.s. </td> </tr> <tr> <td> </td> <td> </td> <td> 69 ± 2 </td> <td> 51 ± 4 </td> <td> 77 ± 8 </td> <td> 62 ± 12 </td> <td> </td> <td> </td> </tr> <tr> <td> 8/9 </td> <td> 188 ± 9 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DHS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 75 ± 6 </td> <td> 67 ± 6 </td> <td> 96 ± 2 </td> <td> 88 ± 4 </td> <td> </td> <td> </td> </tr> <tr> <td> 7/7 </td> <td> 202 ± 12 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -6 </sup> M </td> <td> p ≤ 0.05 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 75 ± 4 </td> <td> 67 ± 6 </td> <td> 97 ± 1 </td> <td> 82 ± 4 </td> <td> </td> <td> </td> </tr> <tr> <td> 9/9 </td> <td> 196 ± 7 </td> <td colspan="2"> Mus </td> <td colspan="2"> Mus/DMS 10 <sup> -8 </sup> M </td> <td> p ≤ 0.01 </td> <td> p ≤ 0.05 </td> </tr> <tr> <td> </td> <td> </td> <td> 65 ± 5 </td> <td> 56 ± 6 </td> <td> 93 ± 2 </td> <td> 81 ± 3 </td> <td> </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

488,843

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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> Component </b> </td> <td> <b> Demand </b> </td> </tr> </thead> <tbody> <tr> <td> Decision latitude </td> <td> </td> </tr> <tr> <td> Skills discretion </td> <td> Job requires learning new things </td> </tr> <tr> <td> </td> <td> Job requires high level of skills </td> </tr> <tr> <td> </td> <td> Job requires creativity </td> </tr> <tr> <td> </td> <td> Job entails a variety of things to do </td> </tr> <tr> <td> Decision authority </td> <td> Job allows making one's own decision </td> </tr> <tr> <td> </td> <td> Job provides a lot of freedom as to how the work gets done </td> </tr> <tr> <td> Job demands </td> <td> Job requires very hard work </td> </tr> <tr> <td> </td> <td> Job requires very fast work </td> </tr> <tr> <td> </td> <td> Job requires excessive work </td> </tr> <tr> <td> </td> <td> Job involves conflicting demands </td> </tr> <tr> <td> </td> <td> Jon involve not having enough time to get the job done </td> </tr> </tbody> </table> </body> </html>

train

274,803

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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> Variables </b> </td> <td> <b> B </b> </td> <td> <b> P-value </b> </td> <td> <b> OR </b> </td> <td> <b> 95,0% CI for OR </b> </td> </tr> </thead> <tbody> <tr> <td> Constant </td> <td> -4.782 </td> <td> <0,001 </td> <td> </td> <td> </td> </tr> <tr> <td> Female gender (male – reference) </td> <td> 0,465 </td> <td> 0,337 </td> <td> 1,593 </td> <td> 0,616–4,117 </td> </tr> <tr> <td> Rural workplace (city – reference) </td> <td> 0,261 </td> <td> 0,478 </td> <td> 1,298 </td> <td> 0,632–2,665 </td> </tr> <tr> <td> Solo practice (Group practice – reference) </td> <td> 0,342 </td> <td> 0,373 </td> <td> 1,408 </td> <td> 0,664–2,987 </td> </tr> <tr> <td> Age less 45(reference to age group 45–54) </td> <td> 1,928 </td> <td> 0,024 </td> <td> 6,874 </td> <td> 1,292–36,582 </td> </tr> <tr> <td> Age more 54(reference to age group 45–54) </td> <td> 0,010 </td> <td> 0,980 </td> <td> 1,010 </td> <td> 0,459–2,226 </td> </tr> <tr> <td> Practice duration 8–28 (more 28 – reference) </td> <td> 1,770 </td> <td> 0,015 </td> <td> 5,873 </td> <td> 1,407–24,523 </td> </tr> <tr> <td> Practice duration less 8 (more 28 – reference) </td> <td> 1,627 </td> <td> 0,054 </td> <td> 5,089 </td> <td> 0,975–26,552 </td> </tr> <tr> <td> Patient load 18–28 p/d (less 18 p/d -reference) </td> <td> 1,769 </td> <td> 0,009 </td> <td> 5,863 </td> <td> 1,549–22,188 </td> </tr> <tr> <td> Patient load > 28 p/d (less 18 p/d -reference) </td> <td> 1,845 </td> <td> 0,014 </td> <td> 6,330 </td> <td> 1,450–27,630 </td> </tr> <tr> <td> Low ability to use skills </td> <td> 0,198 </td> <td> 0,609 </td> <td> 1,219 </td> <td> 0,571–2,600 </td> </tr> <tr> <td> Low decision latitude </td> <td> 0,317 </td> <td> 0,343 </td> <td> 1,373 </td> <td> 0,713–2,644 </td> </tr> <tr> <td> High job demands </td> <td> 1,418 </td> <td> <0,001 </td> <td> 4,128 </td> <td> 2,102–8,104 </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> Subject 1 </b> </td> <td> <b> Subject 2 </b> </td> <td> <b> Control subjects Mean (SD) </b> </td> </tr> </thead> <tbody> <tr> <td> Age (years) </td> <td> 10.2 </td> <td> 8.7 </td> <td> 12.6 (2.6) </td> </tr> <tr> <td> Weight (kg) </td> <td> 33 (SD-score 0) </td> <td> 25 (SD-score -1) </td> <td> 42.6 (6.5) (SD-score 0.01) </td> </tr> <tr> <td> Height (cm) </td> <td> 143 (SD-score 0) </td> <td> 133 (SD-score 0) </td> <td> 154.6 (10.6) (SD-score -0.4) </td> </tr> <tr> <td> W <sub> peak </sub> (Watt) </td> <td> 115 </td> <td> 70 </td> <td> 145 (70) </td> </tr> <tr> <td> HR <sub> peak </sub> (b·min <sup> -1 </sup> ) </td> <td> 195 </td> <td> 195 </td> <td> 185 (5) </td> </tr> <tr> <td> RER <sub> peak </sub> </td> <td> 1.27 </td> <td> 1.25 </td> <td> 1.22 (0.11) </td> </tr> <tr> <td> VO <sub> 2peak </sub> (L·min <sup> -1 </sup> ) </td> <td> 1.4 (SD-score -1.5) </td> <td> 1.2 (SD-score -1) </td> <td> 1.5 (0.46) (SD-score -1.6) </td> </tr> <tr> <td> VO <sub> 2peak </sub> (ml·kg <sup> -1 </sup> ·min <sup> -1 </sup> ) </td> <td> 42.8 (SD-score -1.65) </td> <td> 50.2 (SD-score 0.06) </td> <td> 35.3 (5.3) (SD-score -2.17) </td> </tr> <tr> <td> Peak blood lactate 3 min after the exercise test (mmol·l <sup> -1 </sup> ) </td> <td> 7.3 </td> <td> 6.0 </td> <td> 6.5 (3.6) </td> </tr> <tr> <td> Quadriceps muscle strength (N) </td> <td> 207 (SD-score 0.2) </td> <td> 156 (SD-score 0.8) </td> <td> NM </td> </tr> </tbody> </table> </body> </html>

train

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train

522,161

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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> T = 0 </b> </td> <td> <b> T = 30 </b> </td> <td> <b> T = 60 </b> </td> <td> <b> T = 75 </b> </td> <td> <b> T = 90 </b> </td> <td> <b> T = 120 </b> </td> </tr> </thead> <tbody> <tr> <td> HR (b·min <sup> -1 </sup> ) </td> <td> 80 </td> <td> 120 </td> <td> 120 </td> <td> 120 </td> <td> 120 </td> <td> </td> </tr> <tr> <td> VO <sub> 2 </sub> (ml·min <sup> -1 </sup> ) </td> <td> 260 </td> <td> 450 </td> <td> 620 </td> <td> 620 </td> <td> 600 </td> <td> </td> </tr> <tr> <td> RER (VCO <sub> 2 </sub> ·VO <sub> 2 </sub> <sup> -1 </sup> ) </td> <td> 0.9 </td> <td> 0.9 </td> <td> 0.95 </td> <td> 0.95 </td> <td> 0.9 </td> <td> </td> </tr> <tr> <td> Glucose (mmol·l <sup> -1 </sup> ) </td> <td> 5.2 </td> <td> 4.6 </td> <td> 4.3 </td> <td> 4.4 </td> <td> </td> <td> 4.5 </td> </tr> <tr> <td> Lactate (mmol·l <sup> -1 </sup> ) </td> <td> 2.0 </td> <td> 0.9 </td> <td> 0.9 </td> <td> 1.0 </td> <td> </td> <td> 1.2 </td> </tr> <tr> <td> CK (u·l <sup> -1 </sup> ) </td> <td> 58 </td> <td> </td> <td> 80 </td> <td> 78 </td> <td> </td> <td> 78 </td> </tr> <tr> <td> 3-keto-B (mmol·l <sup> -1 </sup> ) </td> <td> <0.05 </td> <td> <0.05 </td> <td> 0.07 </td> <td> </td> <td> </td> <td> 0.14 </td> </tr> <tr> <td> 3-OH-B (mmol·l <sup> -1 </sup> ) </td> <td> <0.02 </td> <td> <0.02 </td> <td> 0.04 </td> <td> </td> <td> </td> <td> 0.24 </td> </tr> <tr> <td> FFA (umol·l <sup> -1 </sup> ) </td> <td> 0.15 </td> <td> 0.31 </td> <td> 0.62 </td> <td> 0.91 </td> <td> </td> <td> 1.34 </td> </tr> <tr> <td> <b> Urine </b> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Ethylmalonic acid in mmol·mol <sup> -1 </sup> creatinine </td> <td> T = -60–0: 29 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> T = 120–300: 59 </td> </tr> </tbody> </table> </body> </html>

train

197,201

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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> Anesthetic vapor </b> </td> <td> <b> Peak [CO] ex.1 </b> </td> <td> <b> Peak [CO] ex.2 </b> </td> <td> <b> Median [CO] ex.1 </b> </td> <td> <b> Median [CO] ex.2 </b> </td> </tr> </thead> <tbody> <tr> <td> Desflurane </td> <td> 13889 </td> <td> 14262 </td> <td> 1809 (1092–5947) </td> <td> 1816 (1050–6378) </td> </tr> <tr> <td> Enflurane </td> <td> 10187 </td> <td> 10654 </td> <td> 1485 (793–4490) </td> <td> 2044 (892–4394) </td> </tr> <tr> <td> Isoflurane </td> <td> 2512 </td> <td> 2382 </td> <td> 588 (329–1430) </td> <td> 664 (329–1311) </td> </tr> <tr> <td> Halothane </td> <td> 185 </td> <td> 210 </td> <td> 28 (0–92) </td> <td> 31 (0–94) </td> </tr> <tr> <td> Sevoflurane </td> <td> 113 </td> <td> 121 </td> <td> 0 (0–36) </td> <td> 5 (0–43) </td> </tr> </tbody> </table> </body> </html>

train

500,414

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train

440,862

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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> Patients diagnosed with AML, no </b> </td> <td> <b> 42 </b> </td> </tr> <tr> <td> <b> Age [years]: median (range) </b> </td> <td> <b> 45 (19 – 73) </b> </td> </tr> <tr> <td> <b> Female/male ratio, no </b> </td> <td> <b> 16/26 </b> </td> </tr> <tr> <td> <b> Successful DiSC-assays, no (%) </b> </td> <td> <b> 37/42 (88%) </b> </td> </tr> <tr> <td> <b> Successful Casp3-tests, no (%) </b> </td> <td> <b> 42/42 (100%) </b> </td> </tr> <tr> <td> <b> Successful single drug tests, no (%) </b> </td> <td> <b> 116/126 (92%) </b> </td> </tr> <tr> <td> <b> DiSC-assay / Casp3-test correlation, no (%) </b> </td> <td> <b> 37/42 (88%) </b> </td> </tr> <tr> <td> <b> Correlation between single drugs, no (%) </b> </td> <td> <b> 94/126 (75%) </b> </td> </tr> </thead> <tbody> <tr> <td> FAB-groups </td> <td> No </td> </tr> <tr> <td> M1 </td> <td> 3 </td> </tr> <tr> <td> M2 </td> <td> 12 </td> </tr> <tr> <td> M3 </td> <td> 4 </td> </tr> <tr> <td> M4 </td> <td> 10 </td> </tr> <tr> <td> M5 </td> <td> 5 </td> </tr> <tr> <td> M6 </td> <td> 1 </td> </tr> <tr> <td> Secondary AML </td> <td> 7 </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> Study ID </b> </td> <td> <b> Randomisation and concealment of treatment allocation </b> </td> <td> <b> Participants </b> </td> <td> <b> Intervention </b> </td> <td> <b> Effect size </b> </td> <td> <b> % Randomised included in analysis </b> </td> </tr> </thead> <tbody> <tr> <td> Bennike, 1951 </td> <td> Quasi-randomised; Inadequate concealment of treatment </td> <td> 349 admitted to hospital with ordinary acute tonsillitis, plegmonous tonsillitis or ulcerative tonsillitis </td> <td> 1. Penicillin: IM, 300,000 units/day for 6 days (adults)2. Control – symptomatic treatment </td> <td> Not Estimable </td> <td> 88% </td> </tr> <tr> <td> Brink, 1951 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 475 males, aged 17–21, admitted to U.S. military hospital with respiratory symptoms or fever with exudate on tonsils or pharyngeal mucosa </td> <td> 1. Procaine penicillin G: IM 300,000 units/day for 4 days2. Aureomycin: avg. 2 g/day orally for 4 days3. Control – no treatment </td> <td> RR = 0.29 [0.06,1.46] </td> <td> Unknown </td> </tr> <tr> <td> Brock, 1953 </td> <td> Randomised; No concealment of treatment </td> <td> 349 males admitted to U.S. military hospital with exudative pharyngitis and laboratory-confirmed GAS infection </td> <td> 1. Procaine penicillin G: IM 600,000 units/day for 3 days2. Control: IM saline placebo, day 1 and day 5 </td> <td> RR = 0.11 [0.00,2.71] </td> <td> Unknown </td> </tr> <tr> <td> Brumfitt, 1957 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 121 males, aged 18–21, admitted to U.S. military hospital with sore throat, pyrexia and no clinical evidence of more generalized disease of which sore throat may have been coincident feature </td> <td> 1. Combination of procaine penicillin G: IM 600,000 units/day for 4 days and crystalline penicillin: IM 200,000 units/day for 4 days2. Control – symptomatic treatment </td> <td> Not estimable </td> <td> Unknown </td> </tr> <tr> <td> Chamovitz, 1954 </td> <td> Quasi-randomised; Unknown whether treatment allocation concealed </td> <td> 241 males admitted to U.S. military hospital with exudative tonsillitis or pharyngitis </td> <td> 1. DBED penicillin: IM 1,200,000 units2. Control – IM placebo </td> <td> RR = 0.17 [0.01,3.41] </td> <td> Unknown </td> </tr> <tr> <td> Denny, 1950 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 1602 males admitted to U.S. military hospital with respiratory symptoms and observed exudate on the tonsils or pharyngeal wall </td> <td> 1. Penicillin G: IM 200,000 units/day for 3 days of 300,000 units/day for 4 days2. Control: symptomatic treatment </td> <td> RR = 0.12 [0.03,0.50] </td> <td> 81.8% </td> </tr> <tr> <td> Denny, 1953 </td> <td> Randomised; Unknown whether treatment allocation concealed </td> <td> 207 males admitted to U.S. military hospital with suspected streptococcal infection based on presence of exudate on tonsils or pharynx and total leukocyte count exceeding 10,000 </td> <td> 1. Crystalline procaine penicillin: IM 600,000 units/day for 5 days2. Crystalline aureomycin: avg. 2 g/day for 5 days3. Crystalline terramycin: avg. 2 g/day for 5 days4. Control: oral lactose placebo for 5 days </td> <td> RR = 0.64 [0.06,6.92] </td> <td> Unknown </td> </tr> <tr> <td> Houser, 1953 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 2044 males, ages 17–21, admitted to U.S. military hospital with exudative lesions on their tonsils or pharynx </td> <td> 1. Aureomycin: avg. 2 g/day for avg. 5 days2. Control: no specific treatment </td> <td> RR = 0.63 [0.34,1.17] </td> <td> 88% </td> </tr> <tr> <td> Siegel, 1961 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 1213 children, aged 3–16, with uncomplicated acute upper-respiratory tract disease and laboratory-confirmed GAS infection </td> <td> 1. Benzathine penicillin G: IM 600,000 units2. Control: symptomatic treatment </td> <td> RR = 0.20 [0.01,4.14] </td> <td> 95% </td> </tr> <tr> <td> Wannamaker, 1951 </td> <td> Quasi-randomised; No concealment of treatment </td> <td> 2340 males, aged 17–20, admitted to U.S. military hospital with respiratory symptoms and exudative lesions on the tonsils or oropharynx, or oral temp. > 100°F </td> <td> 1. Procaine penicillin G: IM various dosages (1,200,000 over 4 days; 600,000 units over 3 days; 600,000 single dose)2. Control: no specific treatment </td> <td> RR = 0.21 [0.09,0.47] </td> <td> 83.3% </td> </tr> </tbody> </table> </body> </html>

train

476,432

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train

408,754

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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> <b> Telephone advice </b> </td> <td> <b> Consultation at the GP cooperative </b> </td> <td> <b> Home visits </b> </td> <td> <b> Total </b> </td> </tr> </thead> <tbody> <tr> <td> </td> <td> n (%) </td> <td> n (%) </td> <td> n (%) </td> <td> n (%) </td> </tr> <tr> <td> Referred or advised by GP </td> <td> 62 (40.0) </td> <td> 60 (46.5) </td> <td> 44 (38.6) </td> <td> 166 (41.7) </td> </tr> <tr> <td> Worsening of complaint </td> <td> 38 (24.5) </td> <td> 30 (23.3) </td> <td> 23 (20.2) </td> <td> 91 (22.9) </td> </tr> <tr> <td> Wrong advice or treatment </td> <td> 11 (7.1) </td> <td> 6 (4.7) </td> <td> 3 (2.6) </td> <td> 20 (5.0) </td> </tr> <tr> <td> Worried </td> <td> 26 (16.8) </td> <td> 15 (11.6) </td> <td> 26 (22.8) </td> <td> 67 (16.8) </td> </tr> <tr> <td> Other reasons </td> <td> 18 (11.6) </td> <td> 18 (14.0) </td> <td> 18 (15.8) </td> <td> 54 (13.6) </td> </tr> <tr> <td> Total </td> <td> 155 (100.0) </td> <td> 129 (100.0) </td> <td> 114 (100.0) </td> <td> 398 (100.0) </td> </tr> </tbody> </table> </body> </html>

train

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train

181,798

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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> GenBank ID </b> </td> <td> <b> Gene Name </b> </td> <td> <b> Fold Change </b> </td> </tr> </thead> <tbody> <tr> <td> NM_021988 </td> <td> ubiquitin-conjugating enzyme E2 variant 1 </td> <td> 2.0 </td> </tr> <tr> <td> NM_018307 </td> <td> ras homolog gene family, member T1 </td> <td> 2.1 </td> </tr> <tr> <td> NM_024719 </td> <td> growth hormone regulated TBC protein 1 </td> <td> 2.3 </td> </tr> <tr> <td> NM_007083 </td> <td> nudix type motif 6 </td> <td> 2.1 </td> </tr> <tr> <td> NM_022841 </td> <td> hypothetical protein FLJ12994 </td> <td> 3.3 </td> </tr> <tr> <td> NM_016175 </td> <td> truncated calcium binding protein </td> <td> 2.0 </td> </tr> </tbody> </table> </body> </html>

train

86,330

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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> All patients (n = 60) </b> </td> <td> <b> NARST (n = 47) </b> </td> <td> <b> NASST (n = 13) </b> </td> <td> <b> MDR-ST (n = 22) </b> </td> <td> <b> NonMDR-ST (n = 38) </b> </td> </tr> </thead> <tbody> <tr> <td> MIC ciprofloxacin, μg/mL </td> <td> 0.33 ± 0.21 </td> <td> 0.37 ± 0.21* </td> <td> 0.17 ± 0.14* </td> <td> 0.37 ± 0.26 </td> <td> 0.30 ± 0.18 </td> </tr> <tr> <td> MIC ceftriaxone, μg/mL </td> <td> 0.036 ± 0.016 </td> <td> 0.038 ± 0.018 </td> <td> 0.031 ± 0.01 </td> <td> 0.033 ± 0.017 </td> <td> 0.039 ± 0.016 </td> </tr> <tr> <td> Fever clearance time, days </td> <td> 5.1 ± 3.5 </td> <td> 5.5 ± 3.8 </td> <td> 3.7 ± 1.3 </td> <td> 4.9 ± 2.7 </td> <td> 5.3 ± 3.9 </td> </tr> <tr> <td> Total duration of illness, days </td> <td> 14.3(9.8–21) </td> <td> 16.3(11.4–24)* </td> <td> 9.6(6.8–10)* </td> <td> 14.5(9.3–21.4) </td> <td> 14.3(9.9–22) </td> </tr> <tr> <td> <i> Complications <sup> † </sup> </i> </td> <td> <i> 11 (18) </i> </td> <td> <i> 11 (23) </i> </td> <td> -- </td> <td> <i> 2 (9) </i> </td> <td> <i> 9 (24) </i> </td> </tr> </tbody> </table> </body> </html>

train

404,356

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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> Point of time </b> </td> <td> <b> Response rate </b> </td> <td> <b> Total response rate in percent </b> </td> <td> <b> Response rate of original sample </b> </td> </tr> </thead> <tbody> <tr> <td> 1993 – T1 </td> <td> 374 </td> <td> 88% </td> <td> - </td> </tr> <tr> <td> 1996 – T2 </td> <td> 287 </td> <td> 68% </td> <td> 77% </td> </tr> <tr> <td> 1999 – T3 </td> <td> 238 </td> <td> 56% </td> <td> 64% </td> </tr> <tr> <td> 2003 – T4 </td> <td> 210 </td> <td> 50% </td> <td> 56% </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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<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> Analysis </b> </td> <td> <b> Formulation A N= 17 </b> </td> <td> <b> Formulation B N= 16 </b> </td> <td> <b> p (Mann-Whitney's U test) </b> </td> </tr> </thead> <tbody> <tr> <td colspan="3"> <b> Reticulocyte counts (×10 <sup> 9 </sup> /L) </b> </td> <td> </td> </tr> <tr> <td> Mean </td> <td> 2.7 ± 2.9 </td> <td> 2.6 ± 2.7 </td> <td> 0.678 </td> </tr> <tr> <td> Maximum </td> <td> 4.3 ± 3.9 </td> <td> 3.9 ± 3.9 </td> <td> 0.397 </td> </tr> <tr> <td> T(Rmax) (hours) </td> <td> 146.8 ± 59.9 </td> <td> 130.5 ± 51.8 </td> <td> 0.201 </td> </tr> <tr> <td colspan="3"> <b> Serum iron percentage reduction </b> </td> <td> </td> </tr> <tr> <td> Mean </td> <td> 39.8 ± 18.4 </td> <td> 26.5 ± 13.1 </td> <td> 0.265 </td> </tr> <tr> <td> Maximum </td> <td> 47.3 ± 19.2 </td> <td> 39.2 ± 15.2 </td> <td> 0.355 </td> </tr> <tr> <td> T(Rmax) (hours) </td> <td> 160.9 ± 61.6 </td> <td> 148.5 ± 53.5 </td> <td> 0.365 </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> Algorithm </b> </td> <td> <b> Diagnosis </b> </td> </tr> </thead> <tbody> <tr> <td> Duration of illness < 30 days + Accidents (intentional or unintentional) </td> <td> Injuries </td> </tr> <tr> <td> Female sex + (Pregnant or In labor or in the puerperal period) </td> <td> Maternal causes </td> </tr> <tr> <td> Duration of illness > 30 days + Cough + Weight loss + (Bloody sputum or Fever or Ascites) + no diarrhea </td> <td> Tuberculosis </td> </tr> <tr> <td> Duration of illness > 30 days + Cough + Diarrhea + Fever + Weight loss </td> <td> AIDS </td> </tr> <tr> <td> Duration of illness > 15 days + (Edema of legs or Ascites) + Jaundice </td> <td> Liver diseases </td> </tr> <tr> <td> Duration of illness < 15 days + Abdominal swelling + Repeated vomiting + No diarrhea </td> <td> Acute abdomen </td> </tr> <tr> <td> Duration of illness > 30 days + cough + Dyspnea + Wheezing + No bloody sputum </td> <td> Chronic obstructive lung diseases </td> </tr> <tr> <td> Duration of illness < 30 days + Diarrhea + No cough </td> <td> Diarrheal diseases </td> </tr> <tr> <td> Duration of illness < 15 days + Fever + Headache </td> <td> Acute febrile illness </td> </tr> <tr> <td> Duration of illness < 15 days + Fever + Headache + Neck stiffness </td> <td> Meningitis </td> </tr> <tr> <td> Duration of illness < 30 days + Cough + Fever + (Dyspnea or Chest pain) </td> <td> Pneumonia </td> </tr> <tr> <td> Duration of illness < 30 days + Dyspnea + Palpitation + (Edema of legs or Ascites) </td> <td> Cardio Vascular diseases </td> </tr> </tbody> </table> </body> </html>

train

267,647

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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> Possible cause </b> </td> <td> <b> Females </b> </td> <td> <b> Males </b> </td> <td> <b> Total </b> </td> </tr> <tr> <td> </td> <td> <b> Number (%) </b> </td> <td> <b> Number (%) </b> </td> <td> <b> Number (%) </b> </td> </tr> </thead> <tbody> <tr> <td> I. Communicable Diseases </td> <td> 149 (58.7) </td> <td> 164 (62.8) </td> <td> 313 (60.8) </td> </tr> <tr> <td> Acute Febrile illnesses </td> <td> 63 (24.8) </td> <td> 67 (25.7) </td> <td> 130 (25.2) </td> </tr> <tr> <td> Diarrheal diseases </td> <td> 28 (11.0) </td> <td> 29 (11.1) </td> <td> 57 (11.1) </td> </tr> <tr> <td> All forms of tuberculosis </td> <td> 21 (8.3) </td> <td> 29 (11.1) </td> <td> 50 (9.7) </td> </tr> <tr> <td> HIV/ AIDS </td> <td> 19 (7.5) </td> <td> 19 (7.3) </td> <td> 38 (7.4) </td> </tr> <tr> <td> Pneumonia </td> <td> 17 (6.7) </td> <td> 11 (4.2) </td> <td> 28 (5.4) </td> </tr> <tr> <td> Meningitis </td> <td> 1 (0.4) </td> <td> 9 (3.4) </td> <td> 10 (1.9) </td> </tr> <tr> <td> II. Non-communicable Diseases </td> <td> 54 (21.2) </td> <td> 78 (26.8) </td> <td> 124 (25.4) </td> </tr> <tr> <td> Liver diseases </td> <td> 26 (10.2) </td> <td> 32 (12.3) </td> <td> 58 (11.3) </td> </tr> <tr> <td> Cardio-vascular diseases </td> <td> 14 (5.5) </td> <td> 18 (6.9) </td> <td> 32 (6.2) </td> </tr> <tr> <td> Chronic obstructive lung diseases </td> <td> 10 (3.9) </td> <td> 17 (6.5) </td> <td> 27 (5.2) </td> </tr> <tr> <td> Acute abdomen conditions </td> <td> 4 (1.6) </td> <td> 3 (1.1) </td> <td> 7 (1.4) </td> </tr> <tr> <td> III. Maternal causes </td> <td> 36 (14.2) </td> <td> --- </td> <td> 36 (7.0) </td> </tr> <tr> <td> IV. Injuries </td> <td> 3 (1.2) </td> <td> 6 (2.3) </td> <td> 9 (1.7) </td> </tr> <tr> <td> Undetermined </td> <td> 12 (4.7) </td> <td> 21 (8.1) </td> <td> 33 (6.4) </td> </tr> <tr> <td> Total </td> <td> 254 (100.0) </td> <td> 261(100.0) </td> <td> 515(100.0) </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> Possible cause </b> </td> <td colspan="2"> <b> Year of death </b> </td> </tr> <tr> <td> </td> <td> <b> 09/01/96-12/31/99 </b> </td> <td> <b> 01/01/95-12/31/99 </b> </td> </tr> <tr> <td> </td> <td> <b> Number (%) </b> </td> <td> <b> Number (%) </b> </td> </tr> </thead> <tbody> <tr> <td> I. Communicable Diseases </td> <td> 250 (59.2) </td> <td> 313 (60.8) </td> </tr> <tr> <td> Acute Febrile illnesses </td> <td> 102 (24.2) </td> <td> 130 (25.2) </td> </tr> <tr> <td> Diarrheal diseases </td> <td> 47 (11.1) </td> <td> 57 (11.1) </td> </tr> <tr> <td> All forms of tuberculosis </td> <td> 42 (10.0) </td> <td> 50 (9.7) </td> </tr> <tr> <td> HIV/ AIDS </td> <td> 30 (7.1) </td> <td> 38 (7.4) </td> </tr> <tr> <td> Pneumonia </td> <td> 22 (5.2) </td> <td> 28 (5.4) </td> </tr> <tr> <td> Meningitis </td> <td> 7 (1.7) </td> <td> 10 (1.9) </td> </tr> <tr> <td> II. Non-communicable Diseases </td> <td> 95 (25.4) </td> <td> 124 (25.4) </td> </tr> <tr> <td> Liver diseases </td> <td> 49 (11.6) </td> <td> 58 (11.3) </td> </tr> <tr> <td> Cardio-vascular diseases </td> <td> 29 (6.9) </td> <td> 32 (6.2) </td> </tr> <tr> <td> Chronic obstructive lung diseases </td> <td> 23 (5.5) </td> <td> 27 (5.2) </td> </tr> <tr> <td> Acute abdomen conditions </td> <td> 6 (1.4) </td> <td> 7 (1.4) </td> </tr> <tr> <td> III. Maternal causes </td> <td> 29 (6.9) </td> <td> 36 (7.0) </td> </tr> <tr> <td> IV. Injuries </td> <td> 4 (0.9) </td> <td> 9 (1.7) </td> </tr> <tr> <td> Undetermined </td> <td> 32 (7.6) </td> <td> 33 (6.4) </td> </tr> <tr> <td> Total </td> <td> 422 (100.0) </td> <td> 515 (100.0) </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> <underline> Protein </underline> </b> </td> <td> <b> <underline> Function </underline> </b> </td> <td> <b> <underline> Effect of bortezomib </underline> </b> </td> <td> <b> <underline> References </underline> </b> </td> </tr> </thead> <tbody> <tr> <td> IκBα </td> <td> Regulates the activity of the transcription factor, NF-κB </td> <td> Stabilization </td> <td> Hideshima et al [15], 2001Russo et al [16], 2001Sunwoo et al [17], 2001Hideshima et al [18], 2002Tan and Waldmann [19], 2002Ma et al [20], 2003 </td> </tr> <tr> <td> JNK </td> <td> Phosphorylates and activates the transcription factor c-Jun </td> <td> Activation </td> <td> Hideshima et al [21], 2003Chauhan et al [22], 2004Yang et al [23], 2004 </td> </tr> <tr> <td> p21, p27 </td> <td> CDK inhibitors </td> <td> Stabilization </td> <td> Shah et al [24], 2001Hideshima et al [15], 2001Yang et al [23], 2004 </td> </tr> <tr> <td> p53 </td> <td> Transcription factor and Tumor suppressor </td> <td> Stabilization </td> <td> Williams and McConkey [25], 2003Hideshima et al [21], 2003Yang et al [23], 2004 </td> </tr> <tr> <td> Bid </td> <td> Proapoptotic protein </td> <td> Stabilization </td> <td> Breitschopf et al [26], 2000 </td> </tr> <tr> <td> Bax </td> <td> Proapoptotic protein </td> <td> Stabilization </td> <td> Li and Dou [27], 2000 </td> </tr> <tr> <td> Caveolin-1 </td> <td> Promotes cell migration </td> <td> Inhibition of activation </td> <td> Podar et al [28], 2004 </td> </tr> <tr> <td> gp130 </td> <td> Cytokine signaling receptor </td> <td> Downregulation </td> <td> Hideshima et al [29], 2003 </td> </tr> <tr> <td> DNA-PKcs </td> <td> DNA repair </td> <td> Cleavage </td> <td> Hideshima et al [21], 2003 </td> </tr> <tr> <td> ATM </td> <td> DNA repair </td> <td> Cleavage </td> <td> Hideshima et al [21], 2003 </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> <underline> Cancer </underline> </b> </td> <td> <b> <underline> Activity </underline> </b> </td> <td> <b> <underline> MTD </underline> </b> </td> <td> <b> <underline> References </underline> </b> </td> </tr> </thead> <tbody> <tr> <td> Multiple myeloma </td> <td> Decreased tumor growth and angiogenesis; increased survival </td> <td> 0.5 mg/kg IV twice weekly for 4 weeks </td> <td> LeBlanc et al [43], 2002 </td> </tr> <tr> <td> Adult T-cell leukemia </td> <td> Decreased or no effect on tumor growth </td> <td> 1.0 mg/kg IP twice weekly for 2 weeks </td> <td> Tan and Waldmann [19], 2002Satou et al [44], 2004 </td> </tr> <tr> <td> Lung </td> <td> Tumor growth delay and decreased lung metastases </td> <td> 1.0 mg/kg PO once daily for 18 days </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> Breast </td> <td> Decreased surviving fraction of tumor cells </td> <td> 5.0 mg/kg IP once </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> Prostate </td> <td> Decreased tumor growth; decrease or no effect on angiogenesis </td> <td> 1.0 mg/kg IV weekly for 4 weeks, or q 72 hrs for 15 days </td> <td> Adams et al [13], 1999Williams et al [46], 2003 </td> </tr> <tr> <td> Pancreatic </td> <td> Decreased or no effect on tumor growth and angiogenesis; increased or no effect on tumor apoptosis </td> <td> 1.0 mg/kg IV biweekly for 2 to 3 weeks, or weekly for 4 weeks or 0.25 mg/kg IP biweekly for 4 weeks </td> <td> Shah et al [24], 2001Nawrocki et al [47], 2002Bold et al [48], 2001 </td> </tr> <tr> <td> Head and neck </td> <td> Decreased tumor growth and angiogenesis </td> <td> 1.5 mg/kg IP 3 times per week for 3 weeks </td> <td> Sunwoo et al [17], 2001 </td> </tr> <tr> <td> Colon </td> <td> Decreased tumor growth and increased tumor apoptosis </td> <td> 1.0 mg/kg IV twice weekly </td> <td> Cusack et al [30], 2001 </td> </tr> <tr> <td> Melanoma </td> <td> Decreased tumor growth and angiogenesis; increased tumor apoptosis </td> <td> 1.25 mg/kg SC twice weekly for 5 weeks </td> <td> Amiri et al [49], 2004 </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> <underline> Type of therapy </underline> </b> </td> <td> <b> <underline> Drug or agent </underline> </b> </td> <td> <b> <underline> Cancer </underline> </b> </td> <td> <b> <underline> References </underline> </b> </td> </tr> </thead> <tbody> <tr> <td> Chemotherapy </td> <td> 5-Fluorouracil, cisplatin, paclitaxel, doxorubicin, cyclophosphamide </td> <td> Breast, lung </td> <td> Teicher et al [45], 1999 </td> </tr> <tr> <td> </td> <td> Melphalan, doxorubicin, dexamethasone </td> <td> Multiple myeloma </td> <td> Hideshima et al [15], 2001Mitsiades et al [50], 2003Ma et al [20], 2003 </td> </tr> <tr> <td> </td> <td> Topoisomerase inhibitor: irinotecan </td> <td> Colon Pancreatic </td> <td> Cusack et al [30], 2001Shah et al [24], 2001 </td> </tr> <tr> <td> </td> <td> Gemcitabine </td> <td> Pancreatic Bladder </td> <td> Bold et al [48], 2001Kamat et al [51], 2004 </td> </tr> <tr> <td> </td> <td> Pegylated liposomal doxorubicin </td> <td> Breast </td> <td> Small et al [52], 2004 </td> </tr> <tr> <td> </td> <td> Docetaxel </td> <td> Pancreatic </td> <td> Nawrocki et al [53], 2004 </td> </tr> <tr> <td> </td> <td> Temozolomide </td> <td> Melanoma </td> <td> Amiri et al [49], 2004 </td> </tr> <tr> <td> Radiation therapy </td> <td> </td> <td> Breast Colon Prostate </td> <td> Teicher et al [45], 1999Russo et al [16], 2001Pervan et al [54], 2001 </td> </tr> <tr> <td> Immunotherapy </td> <td> Daclizumab </td> <td> Adult T-cell leukemia </td> <td> Tan and Waldmann [19], 2002 </td> </tr> <tr> <td> Novel agents </td> <td> TRAIL/Apo2L </td> <td> Multiple myeloma, myeloid leukemia, renal </td> <td> Mitsiades et al [55], 2001Sayers et al [56], 2003 </td> </tr> <tr> <td> </td> <td> HSP90 inhibitor: 17-AAG </td> <td> Breast </td> <td> Mimnaugh et al [39], 2004 </td> </tr> <tr> <td> </td> <td> HDAC inhibitors: SAHA, sodium butyrate </td> <td> CML, multiple myeloma, lung </td> <td> Denlinger et al [40], 2004Yu et al [57], 2003Mitsiades et al [58], 2004Denlinger et al [59], 2004Pei et al [60], 2004 </td> </tr> <tr> <td> Transplantation </td> <td> Allogeneic BMT </td> <td> Leukemia </td> <td> Sun et al [61], 2004 </td> </tr> </tbody> </table> </body> </html>

train

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train

293,351

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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> Sex workers % (n = 22) </b> </td> <td> <b> Non-sex workers % (n = 132) </b> </td> </tr> </thead> <tbody> <tr> <td> Age first injected (M) </td> <td> 17.6* </td> <td> 20.3 </td> </tr> <tr> <td> % heroin first injected </td> <td> 59 </td> <td> 63 </td> </tr> <tr> <td> % amphetamines first injected </td> <td> 41 </td> <td> 33 </td> </tr> <tr> <td> No. drug classes ever used (M) </td> <td> 10.6 </td> <td> 10.1 </td> </tr> <tr> <td> % heroin drug of choice </td> <td> 96 </td> <td> 83 </td> </tr> <tr> <td> % heroin injected most in past month </td> <td> 87 </td> <td> 83 </td> </tr> <tr> <td> Daily or more injecting past month </td> <td> 82 </td> <td> 65 </td> </tr> <tr> <td> Heroin </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 100 </td> <td> 96 </td> </tr> <tr> <td> Median days injected </td> <td> 175 </td> <td> 170 </td> </tr> <tr> <td> Cocaine </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 50 </td> <td> 48 </td> </tr> <tr> <td> Median days injected </td> <td> 6 </td> <td> 5 </td> </tr> <tr> <td> Methamphetamine (ice) </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 36 </td> <td> 35 </td> </tr> <tr> <td> Median days injected </td> <td> 36 </td> <td> 5 </td> </tr> <tr> <td> Methamphetamine (speed) </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 36 </td> <td> 29 </td> </tr> <tr> <td> Median days injected </td> <td> 2 </td> <td> 3.5 </td> </tr> <tr> <td> Benzodiazepines </td> <td> </td> <td> </td> </tr> <tr> <td> injected last 6 months </td> <td> 18 </td> <td> 19 </td> </tr> <tr> <td> Median days injected </td> <td> 90 </td> <td> 12 </td> </tr> <tr> <td> Alcohol </td> <td> </td> <td> </td> </tr> <tr> <td> used last 6 months </td> <td> 68 </td> <td> 68 </td> </tr> <tr> <td> Median days used </td> <td> 24 </td> <td> 18 </td> </tr> <tr> <td> No. drug classes used last 6 months (M) </td> <td> 7 </td> <td> 6.5 </td> </tr> <tr> <td> Spent money on drugs yesterday </td> <td> 100* </td> <td> 77 </td> </tr> <tr> <td> Median amount spent on drugs yesterday </td> <td> $145** </td> <td> $100 </td> </tr> </tbody> </table> </body> </html>

train

516,404

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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> Study </b> </td> <td> <b> Prognostically homogenous study population </b> </td> <td> <b> Concealment of random allocation </b> </td> <td> <b> Prestratification on prognostically relevant variables </b> </td> <td> <b> Description of randomisation procedure </b> </td> <td> <b> Registration of loss to follow-up </b> </td> <td> <b> Registration of co-interventions for each group </b> </td> <td> <b> Blinding of outcome assessors </b> </td> <td> <b> Check success of blinding </b> </td> </tr> </thead> <tbody> <tr> <td> Behnke [19, 20] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> - </td> <td> + </td> <td> +/- </td> <td> - </td> <td> - </td> </tr> <tr> <td> Kirsten 1998 [22] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> - </td> <td> + </td> <td> +/- </td> <td> - </td> <td> - </td> </tr> <tr> <td> Man 2004 [24] </td> <td> +/- </td> <td> + </td> <td> + </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Murphy 2005 [21] </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Nava 1998 [23] </td> <td> +/- </td> <td> - </td> <td> - </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> - </td> </tr> <tr> <td> Troosters [25, 26] </td> <td> +/- </td> <td> + </td> <td> - </td> <td> - </td> <td> + </td> <td> - </td> <td> - </td> <td> - </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> Period of fourteen days </b> </td> <td> <b> all </b> </td> <td> <b> first </b> </td> <td> <b> second </b> </td> </tr> </thead> <tbody> <tr> <td> Days </td> <td> all </td> <td> working </td> <td> working </td> </tr> <tr> <td> Shifts </td> <td> all </td> <td> morning </td> <td> morning </td> </tr> <tr> <td> Reporter </td> <td> staff </td> <td> staff </td> <td> observer </td> </tr> <tr> <td> N. of events concerning </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Airway/mechanical ventilation </td> <td> 13 (19%) </td> <td> 2 (15%) </td> <td> 13 (38%) </td> </tr> <tr> <td> Catheter/Drain/Probe </td> <td> 18 (27%) </td> <td> 1 (8%) </td> <td> 3 (9%) </td> </tr> <tr> <td> Medication errors </td> <td> 19 (28%) </td> <td> 3 (23%) </td> <td> 5 (15%) </td> </tr> <tr> <td> Patient management </td> <td> 13 (19%) </td> <td> 6 (46%) </td> <td> 12 (35%) </td> </tr> <tr> <td> Unit management </td> <td> 4 (6%) </td> <td> 1 (8%) </td> <td> 1 (3%) </td> </tr> <tr> <td> Total number of events </td> <td> 67 </td> <td> 13 </td> <td> 34 </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> organism </b> </td> <td> <b> accession number </b> </td> <td> <b> reference </b> </td> <td> <b> genome size </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Mycoplasma genitalium </i> </td> <td> L43967 </td> <td> [11] </td> <td> 580,074 </td> </tr> <tr> <td> <i> Staphylococcus aureus </i> MRSA252 </td> <td> NC 002952 </td> <td> [7] </td> <td> 2,902,619 </td> </tr> <tr> <td> <i> Staphylococcus aureus </i> MSSA476 </td> <td> NC 002953 </td> <td> [7] </td> <td> 2,799,802 </td> </tr> <tr> <td> <i> Staphylococcus aureus </i> MW2 </td> <td> NC 003923 </td> <td> [12] </td> <td> 2,820,462 </td> </tr> <tr> <td> <i> Staphylococcus aureus </i> Mu50 </td> <td> NC 002758 </td> <td> [13] </td> <td> 2,878,040 </td> </tr> <tr> <td> <i> Staphylococcus aureus </i> N315 </td> <td> NC 002745 </td> <td> [13] </td> <td> 2,814,816 </td> </tr> </tbody> </table> </body> </html>

train

236,745

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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> Naïve patients </i> </b> </td> <td> <b> <i> Pre-treated </i> </b> </td> <td> <b> <i> Total </i> </b> </td> </tr> </thead> <tbody> <tr> <td> Total </td> <td> 1785 (38.5%) </td> <td> 2854 (61.5%) </td> <td> 4639 </td> </tr> <tr> <td> Gender (f/m) </td> <td> 882/903 </td> <td> 1605/1249 </td> <td> 2487/2152 </td> </tr> <tr> <td> Mean age ± SD </td> <td> 57.9 ± 12.7 </td> <td> 63.6 ± 12.3 </td> <td> 61.4 ± 12.8 </td> </tr> <tr> <td> Baseline SBP (Mean ± SD) </td> <td> 168.8 ± 17.8 </td> <td> 163.5 ± 19.1 </td> <td> 165.5 ± 18.8 </td> </tr> <tr> <td> Baseline DBP (Mean ± SD) </td> <td> 101.2 ± 8.6 </td> <td> 96.3 ± 10.4 </td> <td> 98.2 ± 10.0 </td> </tr> <tr> <td> Diabetes </td> <td> 165 (9.2%) </td> <td> 492 (17.2%) </td> <td> 657 (14.2%) </td> </tr> <tr> <td> ISH </td> <td> 79 (4.4%) </td> <td> 408 (14.3%) </td> <td> 487 (10.5%) </td> </tr> <tr> <td> WHO-risk </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <i> Low (<15%) </i> </td> <td> 37 (2.1%) </td> <td> 101 (3.5%) </td> <td> 138 (3.0%) </td> </tr> <tr> <td> <i> Medium (15–20%) </i> </td> <td> 837 (46.9%) </td> <td> 1190 (41.7%) </td> <td> 2027 (43.7%) </td> </tr> <tr> <td> <i> High (20–30%) </i> </td> <td> 274 (15.4%) </td> <td> 526 (18.4%) </td> <td> 800 (17.2%) </td> </tr> <tr> <td> <i> Very high (>30%) </i> </td> <td> 637 (35.7%) </td> <td> 1037 (36.3%) </td> <td> 1674 (36.1%) </td> </tr> </tbody> </table> </body> </html>

train

139,360

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train

2,906

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train

341,249

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train

266,279

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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> chromosome </b> </td> <td> <b> name of the cluster </b> </td> <td> <b> number of genes localized in the cluster </b> </td> </tr> </thead> <tbody> <tr> <td> 9 E1 </td> <td> Oogenesin </td> <td> 12 </td> </tr> <tr> <td> 5 F </td> <td> Oas </td> <td> 3 </td> </tr> <tr> <td> 7 A1 </td> <td> Obox </td> <td> 8 </td> </tr> <tr> <td> 7 A3 </td> <td> Nalp9 </td> <td> 3 </td> </tr> <tr> <td> 9 F2 </td> <td> FBXO12 </td> <td> 13 </td> </tr> <tr> <td> 12 E </td> <td> Tcl1 </td> <td> 6 </td> </tr> <tr> <td> 19A </td> <td> Oosp </td> <td> 3 </td> </tr> <tr> <td> </td> <td> <b> Total </b> </td> <td> 48 </td> </tr> </tbody> </table> </body> </html>

train

434,256

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train

255,910

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train

183,939

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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> Criteria </b> </td> <td> <b> Gp 1 </b> </td> <td> <b> Gp 1 </b> </td> <td> <b> Gp 1 </b> </td> <td> <b> Gp 2 </b> </td> <td> <b> Gp 2 </b> </td> <td> <b> Gp 2 </b> </td> </tr> </thead> <tbody> <tr> <td> Time of SOM treatment </td> <td> Acute (wk. 10) 1 day treatment </td> <td> Acute (wk. 10) 2 days treatment </td> <td> Acute (wk. 10) Untreated </td> <td> Chronic (wk. 14) 1 day treatment </td> <td> Chronic (wk. 14) 2 days treatment </td> <td> Chronic (wk. 14) Untreated </td> </tr> <tr> <td> No. doses </td> <td> 3 × 30 μg (2 × IP; 1 × IV) </td> <td> 6 × 30 μg (4 × IP; 2 × IV) </td> <td> NA </td> <td> 3 × 30 μg (2 × IP; 1 × IV) </td> <td> 6 × 30 μg (4 × IP; 2 × IV) </td> <td> NA </td> </tr> <tr> <td> Total SOM </td> <td> 90 μg </td> <td> 180 μg </td> <td> NA </td> <td> 90 μg </td> <td> 180 μg </td> <td> NA </td> </tr> </tbody> </table> </body> </html>

train

338,520

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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> Group 1 </b> </td> <td> <b> Group 2 </b> </td> <td> <b> Group 1 vs. Group 2 </b> </td> </tr> </thead> <tbody> <tr> <td> No SOM treatment </td> <td> Uninf.: 119.4 ± 11.99Acute: 297.3 ± 37.24 <b> p-value: 0.01** </b> </td> <td> Chronic: 206.1 ± 13.30 </td> <td> Uninf.: 119.4 ± 11.99Chronic: 206.1 ± 13.30 <b> p-value: 0.008** </b> Acute: 297.3 ± 37.24Chronic: 206.1 ± 13.30 <b> p-value: 0.06 (BL) </b> </td> </tr> <tr> <td> 1 day SOM treatment </td> <td> Acute: 240.3 ± 21.30 </td> <td> Uninf.: 131.6 ± 19.34Chronic: 226.3 ± 5.41 <b> p-value: 0.01** </b> </td> <td> Acute: 240.3 ± 21.30Chronic: 226.3 ± 5.41p-value: 0.71 (NS) </td> </tr> <tr> <td> 2 day SOM treatment </td> <td> Uninf.: 136.9 ± 11.69Acute: 234.2 ± 23.65 <b> p-value: 0.008** </b> Acute (untreated): 297.3 ± 37.24Acute (2d SOM): 234.2 ± 23.65p-value: 0.28 </td> <td> Uninf.: 151.6 ± 41.45Chronic: 247.9 ± 13.11p-value: 0.11 (NS)Chronic (untreated): 206.1 ± 13.30Chronic (2d SOM): 247.9 ± 13.11 <b> p-value: 0.06 (BL) </b> </td> <td> Uninf. (17 wks.): 136.9 ± 11.69Uninf. (21 wks.): 151.6 ± 41.45p-value: 0.9 (NS)Acute: 234.2 ± 23.65Chronic: 247.9 ± 13.11p-value: 0.73 (NS) </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 colspan="7"> <b> Oneway Analysis of CI By Program t-Test </b> </td> </tr> <tr> <td> </td> <td> <b> Difference </b> </td> <td> <b> t-Test </b> </td> <td> <b> DF </b> </td> <td> <b> Prob>/t/ </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> Estimate </td> <td> -0.0648 </td> <td> -0.063 </td> <td> 101 </td> <td> 0.9501 </td> <td> </td> <td> </td> </tr> <tr> <td> Std Error </td> <td> 1.0331 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lower 95% </td> <td> -2.1141 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Upper 95% </td> <td> 1.9847 </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Means and Standard Deviations Level </td> <td> Number </td> <td> Mean </td> <td> Std Dev </td> <td> Std Err Mean </td> <td> Lower 95% </td> <td> Upper 95% </td> </tr> <tr> <td> Decompress </td> <td> 59 </td> <td> 59.0586 </td> <td> 5.34525 </td> <td> 0.69589 </td> <td> 57.666 </td> <td> 60.452 </td> </tr> <tr> <td> Repeat </td> <td> 44 </td> <td> 59.1234 </td> <td> 4.9646 </td> <td> 0.74849 </td> <td> 57.614 </td> <td> 60.633 </td> </tr> </tbody> </table> </body> </html>

train

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train

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train

492,595

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train

520,899

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train

537,617

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train

218,330

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train

169,843

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train

384,511

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train

507,445

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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> Indiann (%)n = 136 </b> </td> <td> <b> Pakistanin (%)n = 238 </b> </td> <td> <b> Bangladeshin (%)n = 20 </b> </td> </tr> </thead> <tbody> <tr> <td> Mean (SD) age, years </td> <td> 61.0 (12.6) </td> <td> 61.0 (12.4) </td> <td> 63.1 (7.3) </td> </tr> <tr> <td> Males n, (%) </td> <td> 96 (70.6) </td> <td> 184 (77.3) </td> <td> 15 (75) </td> </tr> <tr> <td> Mean (SD) IMD score </td> <td> 35.95 (15.8) </td> <td> 47.8 (15.7) </td> <td> 48.9 (14.4) </td> </tr> <tr> <td> Any exclusion </td> <td> 40 (29.4) </td> <td> 151 (63.4) </td> <td> 14 (70) </td> </tr> <tr> <td> Reason for exclusion (more than one may apply) n (%) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <sup> a </sup> Language </td> <td> 10 (7.5) </td> <td> 94 (39.8) </td> <td> 11 (55) </td> </tr> <tr> <td> <sup> b </sup> High cardiac risk </td> <td> 15 (11) </td> <td> 33 (13.9) </td> <td> 1 (5) </td> </tr> <tr> <td> <sup> c </sup> Comorbidity </td> <td> 8 (5.9) </td> <td> 19 (8.0) </td> <td> 0 (0) </td> </tr> <tr> <td> Excluded for language only: </td> <td> </td> <td> </td> <td> 1 </td> </tr> <tr> <td> All n (%) </td> <td> 7 (5.1) </td> <td> 78 (32.8) </td> <td> 1 (55) </td> </tr> <tr> <td> Aged <65 years </td> <td> 3 (3.4) </td> <td> 34 (24.8) </td> <td> 4 (40) </td> </tr> <tr> <td> 65+ </td> <td> 4 (8.2) p = 0.2 </td> <td> 44 (43.6) p = 0.002 </td> <td> 7 (87.5) p = 0.2 </td> </tr> <tr> <td> Gender males </td> <td> 4 (4.2) </td> <td> 51 (27.7) </td> <td> 6 (40) </td> </tr> <tr> <td> females </td> <td> 3 (7.5) p = 0.4 </td> <td> 27 (50) p = 0.003 </td> <td> 5 (100) p = 0.04 </td> </tr> <tr> <td> Total recruited n </td> <td> 50 </td> <td> 31 </td> <td> 4 </td> </tr> <tr> <td> (% of eligible) </td> <td> (52.1) </td> <td> (35.6) </td> <td> </td> </tr> <tr> <td> (% of all presenting) </td> <td> (36.8) </td> <td> (13) </td> <td> (20) </td> </tr> <tr> <td> RR of ineligibility (95%CI)* </td> <td> 0.89 (0.6, 1.3) </td> <td> 4.0 (2.9, 5.5) </td> <td> 4.4 (1.6, 11.8) </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> Crude </b> </td> <td colspan="2"> <b> 95% CI </b> </td> <td> <b> Fully adjusted* </b> </td> <td colspan="2"> <b> 95% CI </b> </td> </tr> <tr> <td> </td> <td> </td> <td> <b> Lower </b> </td> <td> <b> Upper </b> </td> <td> </td> <td> <b> Lower </b> </td> <td> <b> Upper </b> </td> </tr> </thead> <tbody> <tr> <td> <i> Sex of infants </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Boy </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> Girl </td> <td> 0.85 </td> <td> 0.72 </td> <td> 1.00 </td> <td> 0.84 </td> <td> 0.71 </td> <td> 0.99 </td> </tr> <tr> <td> <i> Education of mother </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Primary </td> <td> 1.99 </td> <td> 1.52 </td> <td> 2.62 </td> <td> 2.80 </td> <td> 2.12 </td> <td> 3.72 </td> </tr> <tr> <td> Vocational </td> <td> 0.97 </td> <td> 0.72 </td> <td> 1.31 </td> <td> 2.24 </td> <td> 1.62 </td> <td> 3.10 </td> </tr> <tr> <td> Secondary </td> <td> 1.16 </td> <td> 0.90 </td> <td> 1.50 </td> <td> 1.87 </td> <td> 1.44 </td> <td> 2.44 </td> </tr> <tr> <td> University </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> P for trend </td> <td> <i> <0.001 </i> </td> <td> </td> <td> </td> <td> <i> <0.001 </i> </td> <td> </td> <td> </td> </tr> <tr> <td> <i> Maternal age </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> -19 </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> 20–22 </td> <td> 1.32 </td> <td> 0.84 </td> <td> 2.08 </td> <td> 1.66 </td> <td> 0.95 </td> <td> 2.92 </td> </tr> <tr> <td> 23–25 </td> <td> 1.45 </td> <td> 0.94 </td> <td> 2.26 </td> <td> 2.05 </td> <td> 1.14 </td> <td> 3.68 </td> </tr> <tr> <td> 26–28 </td> <td> 1.40 </td> <td> 0.90 </td> <td> 2.17 </td> <td> 2.18 </td> <td> 1.20 </td> <td> 3.99 </td> </tr> <tr> <td> 29–31 </td> <td> 1.71 </td> <td> 1.12 </td> <td> 2.63 </td> <td> 2.74 </td> <td> 1.49 </td> <td> 5.04 </td> </tr> <tr> <td> 32–34 </td> <td> 3.29 </td> <td> 2.20 </td> <td> 4.92 </td> <td> 5.47 </td> <td> 3.00 </td> <td> 9.98 </td> </tr> <tr> <td> 35–37 </td> <td> 3.72 </td> <td> 2.45 </td> <td> 5.66 </td> <td> 6.27 </td> <td> 3.37 </td> <td> 11.64 </td> </tr> <tr> <td> 38–40 </td> <td> 8.21 </td> <td> 5.43 </td> <td> 12.40 </td> <td> 12.34 </td> <td> 6.61 </td> <td> 23.05 </td> </tr> <tr> <td> 41–43 </td> <td> 20.07 </td> <td> 13.12 </td> <td> 30.71 </td> <td> 28.42 </td> <td> 14.98 </td> <td> 53.91 </td> </tr> <tr> <td> 44+ </td> <td> 19.40 </td> <td> 10.30 </td> <td> 36.55 </td> <td> 27.57 </td> <td> 12.22 </td> <td> 62.21 </td> </tr> <tr> <td> <i> Paternal age </i> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> -19 </td> <td> 1 </td> <td> </td> <td> </td> <td> 1 </td> <td> </td> <td> </td> </tr> <tr> <td> 20–22 </td> <td> 1.11 </td> <td> 0.59 </td> <td> 2.10 </td> <td> 0.85 </td> <td> 0.44 </td> <td> 1.67 </td> </tr> <tr> <td> 23–25 </td> <td> 1.13 </td> <td> 0.61 </td> <td> 2.06 </td> <td> 0.69 </td> <td> 0.35 </td> <td> 1.37 </td> </tr> <tr> <td> 26–28 </td> <td> 1.27 </td> <td> 0.71 </td> <td> 2.29 </td> <td> 0.65 </td> <td> 0.32 </td> <td> 1.31 </td> </tr> <tr> <td> 29–31 </td> <td> 1.92 </td> <td> 1.09 </td> <td> 3.38 </td> <td> 0.83 </td> <td> 0.41 </td> <td> 1.66 </td> </tr> <tr> <td> 32–34 </td> <td> 1.94 </td> <td> 1.10 </td> <td> 3.43 </td> <td> 0.67 </td> <td> 0.33 </td> <td> 1.37 </td> </tr> <tr> <td> 35–37 </td> <td> 2.55 </td> <td> 1.44 </td> <td> 4.51 </td> <td> 0.68 </td> <td> 0.33 </td> <td> 1.40 </td> </tr> <tr> <td> 38–40 </td> <td> 2.47 </td> <td> 1.36 </td> <td> 4.49 </td> <td> 0.54 </td> <td> 0.26 </td> <td> 1.13 </td> </tr> <tr> <td> 41–43 </td> <td> 6.33 </td> <td> 3.55 </td> <td> 11.27 </td> <td> 1.02 </td> <td> 0.49 </td> <td> 2.11 </td> </tr> <tr> <td> 44+ </td> <td> 6.37 </td> <td> 3.58 </td> <td> 11.34 </td> <td> 0.86 </td> <td> 0.41 </td> <td> 1.79 </td> </tr> </tbody> </table> </body> </html>

train

225,899

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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> Age of mother </b> </td> <td> <b> 1994 </b> </td> <td> <b> 1995 </b> </td> <td> <b> 1996 </b> </td> <td> <b> 1997 </b> </td> <td> <b> 1998 </b> </td> <td> <b> Total </b> </td> </tr> </thead> <tbody> <tr> <td> -19 </td> <td> 6.26 </td> <td> 8.45 </td> <td> 4.90 </td> <td> 5.74 </td> <td> 8.25 </td> <td> <b> 6.70 </b> </td> </tr> <tr> <td> 20–22 </td> <td> 5.36 </td> <td> 6.16 </td> <td> 8.14 </td> <td> 7.66 </td> <td> 11.01 </td> <td> <b> 7.36 </b> </td> </tr> <tr> <td> 23–25 </td> <td> 5.62 </td> <td> 8.13 </td> <td> 9.15 </td> <td> 8.90 </td> <td> 7.35 </td> <td> <b> 7.80 </b> </td> </tr> <tr> <td> 26–28 </td> <td> 7.60 </td> <td> 9.27 </td> <td> 6.23 </td> <td> 8.14 </td> <td> 11.82 </td> <td> <b> 8.69 </b> </td> </tr> <tr> <td> 29–31 </td> <td> 12.96 </td> <td> 6.68 </td> <td> 6.80 </td> <td> 9.60 </td> <td> 16.35 </td> <td> <b> 10.57 </b> </td> </tr> <tr> <td> 32–34 </td> <td> 26.79 </td> <td> 13.14 </td> <td> 26.73 </td> <td> 14.56 </td> <td> 31.52 </td> <td> <b> 22.66 </b> </td> </tr> <tr> <td> 35–37 </td> <td> 21.02 </td> <td> 36.90 </td> <td> 48.87 </td> <td> 45.26 </td> <td> 52.05 </td> <td> <b> 40.93 </b> </td> </tr> <tr> <td> 38–40 </td> <td> 125.28 </td> <td> 96.85 </td> <td> 86.68 </td> <td> 102 </td> <td> 92.88 </td> <td> <b> 101.07 </b> </td> </tr> <tr> <td> 41–43 </td> <td> 306.12 </td> <td> 187.2 </td> <td> 305.6 </td> <td> 292.4 </td> <td> 400 </td> <td> <b> 297.03 </b> </td> </tr> <tr> <td> 44+ </td> <td> 333.33 </td> <td> 615.4 </td> <td> 169.5 </td> <td> 204.1 </td> <td> 317.5 </td> <td> <b> 337.84 </b> </td> </tr> <tr> <td> <b> Total </b> </td> <td> <b> 10.94 </b> </td> <td> <b> 11 </b> </td> <td> <b> 12.34 </b> </td> <td> <b> 12.32 </b> </td> <td> <b> 16.29 </b> </td> <td> <b> 12.50 </b> </td> </tr> </tbody> </table> </body> </html>

train

530,587

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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> Gene </b> </td> <td> <b> Product size </b> </td> <td> <b> Primer </b> </td> <td> <b> Sequence </b> </td> </tr> </thead> <tbody> <tr> <td> <i> RARα </i> </td> <td> 333 bp </td> <td> F </td> <td> 5'-GTCTTTGCCTTCGCCAACCAG-3' </td> </tr> <tr> <td> </td> <td> </td> <td> R </td> <td> 5'-GCCCTCTGAGTTCTCCAACA-3' </td> </tr> <tr> <td> <i> MDR1 </i> </td> <td> 127 bp </td> <td> F </td> <td> 5'-CCCATCATTGCAATAGCAGG-3' </td> </tr> <tr> <td> </td> <td> </td> <td> R </td> <td> 5'-GTTCAAACTTCTGCTCCTGA-3' </td> </tr> <tr> <td> <i> β2m </i> </td> <td> 114 bp </td> <td> F </td> <td> 5'-ACCCCCACTGAAAAAGATGA-3' </td> </tr> <tr> <td> </td> <td> </td> <td> R </td> <td> 5'-ATCTTCAAACCTCCATGATG-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> </td> <td> <b> Rosuvastatin (n = 232) </b> </td> <td> <b> Atorvastatin (n = 233) </b> </td> </tr> </thead> <tbody> <tr> <td> Gender, male/female (%) </td> <td> 128/104 (55.2/44.8) </td> <td> 136/97 (58.4/41.6) </td> </tr> <tr> <td> Race, white (%) </td> <td> 229 (98.7) </td> <td> 229 (98.3) </td> </tr> <tr> <td> Mean age, years (SD) </td> <td> 63.5 (8.8) </td> <td> 65.0 (8.6) </td> </tr> <tr> <td> Mean weight, kg (SD) </td> <td> 84.8 (14.3) </td> <td> 82.5 (13.5) </td> </tr> <tr> <td> Mean BMI, kg/m <sup> 2 </sup> (SD) </td> <td> 29.0 (3.6) </td> <td> 28.4 (3.6) </td> </tr> <tr> <td> Mean baseline LDL-C, mmol/L (SD) </td> <td> 4.6 (0.85) </td> <td> 4.6 (0.82) <sup> a </sup> </td> </tr> <tr> <td> Mean baseline HDL-C, mmol/L (SD) </td> <td> 1.2 (0.27) </td> <td> 1.2 (0.27) <sup> a </sup> </td> </tr> <tr> <td> Mean baseline TG, mmol/L (SD) </td> <td> 2.0 (1.0) </td> <td> 2.0 (0.93) <sup> a </sup> </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> Variable </b> </td> <td colspan="2"> <b> Least-squares mean percentage change from baseline to 16 weeks </b> </td> <td> <b> Difference (95% CI) </b> </td> <td> <b> p-value </b> </td> </tr> <tr> <td> </td> <td> <b> Rosuvastatin 10–40 mg (n = 221) </b> </td> <td> <b> Atorvastatin 10–80 mg (n = 220) </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> LDL-C </td> <td> -52.3 </td> <td> -45.5 </td> <td> -6.7 (-8.8, -4.7) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC </td> <td> -35.4 </td> <td> -31.3 </td> <td> -4.1 (-5.8, -2.4) </td> <td> < 0.0001 </td> </tr> <tr> <td> HDL-C </td> <td> 5.3 </td> <td> 4.0 </td> <td> 1.3 (-1.3, 3.8) </td> <td> NS </td> </tr> <tr> <td> TG </td> <td> -21.2 </td> <td> -21.1 </td> <td> -0.1 (-5.6, 5.3) </td> <td> NS </td> </tr> <tr> <td> Non-HDL-C </td> <td> -45.0 </td> <td> -39.6 </td> <td> -5.5 (-7.4, -3.5) </td> <td> < 0.0001 </td> </tr> <tr> <td> LDL-C/HDL-C ratio </td> <td> -54.1 </td> <td> -47.0 </td> <td> -7.1 (-9.3, -4.9) </td> <td> < 0.0001 </td> </tr> <tr> <td> Non-HDL-C/HDL-C ratio </td> <td> -47.1 </td> <td> -40.9 </td> <td> -6.2 (-8.6, -3.9) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC/HDL-C ratio </td> <td> -38.0 </td> <td> -33.1 </td> <td> -5.0 (-6.9, -3.0) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo B </td> <td> -45.2 </td> <td> -40.1 </td> <td> -5.1 (-7.2, -3.1) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo A-I </td> <td> 2.6 </td> <td> -0.2 </td> <td> 2.8 (1.0, 4.6) </td> <td> 0.0024 </td> </tr> <tr> <td> Apo B/apo A-I ratio </td> <td> -46.3 </td> <td> -39.6 </td> <td> -6.7 (-8.9, -4.6) </td> <td> < 0.0001 </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> Variable </b> </td> <td colspan="2"> <b> Least-squares mean percentage change from baseline to 4 weeks </b> </td> <td> <b> Difference (95% CI) </b> </td> <td> <b> p-value </b> </td> </tr> <tr> <td> </td> <td> <b> Rosuvastatin 10 mg (n = 232) </b> </td> <td> <b> Atorvastatin 10 mg (n = 231) </b> </td> <td> </td> <td> </td> </tr> </thead> <tbody> <tr> <td> LDL-C </td> <td> -47.6 </td> <td> -38.5 <sup> a </sup> </td> <td> -9.1 (-11.4, -6.7) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC </td> <td> -33.6 </td> <td> -27.9 </td> <td> -5.7 (-7.4, -4.0) </td> <td> < 0.0001 </td> </tr> <tr> <td> HDL-C </td> <td> 4.4 </td> <td> 2.6 </td> <td> 1.8 (-0.5, 4.0) </td> <td> NS </td> </tr> <tr> <td> TG </td> <td> -19.2 </td> <td> -15.5 </td> <td> -3.7 (-9.5, 2.2) </td> <td> NS </td> </tr> <tr> <td> Non-HDL-C </td> <td> -42.6 </td> <td> -35.0 </td> <td> -7.6 (-9.6, -5.7) </td> <td> < 0.0001 </td> </tr> <tr> <td> LDL-C/HDL-C ratio </td> <td> -49.3 </td> <td> -39.5 </td> <td> -9.8 (-12.2, -7.4) </td> <td> < 0.0001 </td> </tr> <tr> <td> Non-HDL-C/HDL-C ratio </td> <td> -44.4 </td> <td> -35.9 </td> <td> -8.5 (-10.8, -6.2) </td> <td> < 0.0001 </td> </tr> <tr> <td> TC/HDL-C ratio </td> <td> -35.8 </td> <td> -29.0 </td> <td> -6.7 (-8.7, -4.8) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo B </td> <td> -42.9 </td> <td> -35.3 </td> <td> -7.6 (-9.7, -5.6) </td> <td> < 0.0001 </td> </tr> <tr> <td> Apo A-I </td> <td> 2.6 </td> <td> 0.8 </td> <td> 1.8 (0, 3.5) </td> <td> 0.05 </td> </tr> <tr> <td> Apo B/apo A-I ratio </td> <td> -43.9 </td> <td> -35.4 </td> <td> -8.5 (-10.6, -6.4) </td> <td> < 0.0001 </td> </tr> </tbody> </table> </body> </html>

train

300,555

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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> Number (%) of patients with adverse event </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Adverse event </b> </td> <td> <b> Rosuvastatin (n = 233) </b> </td> <td> <b> Atorvastatin (n = 236) </b> </td> </tr> <tr> <td> Nasopharyngitis </td> <td> 23 (9.9) </td> <td> 19 (8.1) </td> </tr> <tr> <td> Myalgia </td> <td> 13 (5.6) </td> <td> 7 (3.0) </td> </tr> <tr> <td> Inadequately controlled diabetes mellitus </td> <td> 14 (6.0) </td> <td> 11 (4.6) </td> </tr> <tr> <td> Constipation </td> <td> 9 (3.9) </td> <td> 6 (2.5) </td> </tr> <tr> <td> Headache </td> <td> 6 (2.6) </td> <td> 7 (3.0) </td> </tr> <tr> <td> Urinary tract infection </td> <td> 9 (3.9) </td> <td> 2 (0.9) </td> </tr> <tr> <td> Arthralgia </td> <td> 1 (0.4) </td> <td> 9 (3.8) </td> </tr> </tbody> </table> </body> </html>

train

255,713

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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> Sex </b> </td> <td> <b> Foods </b> </td> <td> <b> Min </b> </td> <td> <b> Max </b> </td> <td> <b> Mean </b> </td> <td> <b> Std. Deviation </b> </td> </tr> </thead> <tbody> <tr> <td> Women </td> <td> Fruits </td> <td> 0.2 </td> <td> 8.5 </td> <td> 3.0 </td> <td> 1.7 </td> </tr> <tr> <td> </td> <td> Vegetables </td> <td> 0.4 </td> <td> 7.9 </td> <td> 3.0 </td> <td> 1.5 </td> </tr> <tr> <td> </td> <td> Dairy products </td> <td> 0.0 </td> <td> 5.2 </td> <td> 2.1 </td> <td> 1.0 </td> </tr> <tr> <td> </td> <td> Meat </td> <td> 0.6 </td> <td> 4.2 </td> <td> 1.7 </td> <td> 0.7 </td> </tr> <tr> <td> </td> <td> Cereals and cereal products </td> <td> 0.7 </td> <td> 10.7 </td> <td> 4.7 </td> <td> 2.2 </td> </tr> <tr> <td> </td> <td> Beverages </td> <td> 0.0 </td> <td> 9.5 </td> <td> 3.4 </td> <td> 2.1 </td> </tr> <tr> <td> </td> <td> Baked goods </td> <td> 0.0 </td> <td> 3.4 </td> <td> 0.5 </td> <td> 0.5 </td> </tr> <tr> <td> Men </td> <td> Fruits </td> <td> 1.8 </td> <td> 8.8 </td> <td> 4.8 </td> <td> 2.0 </td> </tr> <tr> <td> </td> <td> Vegetables </td> <td> 0.3 </td> <td> 6.6 </td> <td> 3.7 </td> <td> 1.6 </td> </tr> <tr> <td> </td> <td> Dairy products </td> <td> 0.4 </td> <td> 7.0 </td> <td> 2.5 </td> <td> 1.3 </td> </tr> <tr> <td> </td> <td> Meat </td> <td> 0.6 </td> <td> 4.4 </td> <td> 2.3 </td> <td> 0.9 </td> </tr> <tr> <td> </td> <td> Cereals and cereal products </td> <td> 1.5 </td> <td> 6.6 </td> <td> 5.0 </td> <td> 1.2 </td> </tr> <tr> <td> </td> <td> Beverages </td> <td> 1.3 </td> <td> 8.5 </td> <td> 5.0 </td> <td> 1.9 </td> </tr> <tr> <td> </td> <td> Baked goods </td> <td> 0.0 </td> <td> 2.1 </td> <td> 0.8 </td> <td> 0.6 </td> </tr> <tr> <td> Overall </td> <td> Fruits </td> <td> 0.2 </td> <td> 8.8 </td> <td> 3.4 </td> <td> 1.9 </td> </tr> <tr> <td> </td> <td> Vegetables </td> <td> 0.2 </td> <td> 7.9 </td> <td> 3.1 </td> <td> 1.6 </td> </tr> <tr> <td> </td> <td> Dairy products </td> <td> 0.2 </td> <td> 7.1 </td> <td> 2.2 </td> <td> 1.1 </td> </tr> <tr> <td> </td> <td> Meat </td> <td> 0.6 </td> <td> 4.4 </td> <td> 1.9 </td> <td> 0.8 </td> </tr> <tr> <td> </td> <td> Cereals and cereal products </td> <td> 0.7 </td> <td> 10.8 </td> <td> 4.8 </td> <td> 2.0 </td> </tr> <tr> <td> </td> <td> Beverages </td> <td> 0.0 </td> <td> 9.5 </td> <td> 3.8 </td> <td> 2.2 </td> </tr> <tr> <td> </td> <td> Baked goods </td> <td> 0.0 </td> <td> 3.4 </td> <td> 0.6 </td> <td> 0.5 </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> Patient </b> </td> <td> <b> Age </b> </td> <td> <b> Sex </b> </td> <td> <b> CD4+ cells/mm3 </b> </td> <td> <b> Length of infection <sup> a </sup> </b> </td> <td> <b> Antiviral drug </b> </td> <td> <b> Clinical Evaluation <sup> b </sup> </b> </td> </tr> </thead> <tbody> <tr> <td> MB </td> <td> 28 yr </td> <td> </td> <td> 509 </td> <td> 11 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IB </td> <td> 4.75 mo </td> <td> M </td> <td> 1942 </td> <td> 4.75 mo </td> <td> None </td> <td> Asymptomatic, P1A </td> </tr> <tr> <td> MC </td> <td> 23 yr </td> <td> </td> <td> 818 </td> <td> 1 yr6 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IC </td> <td> 14 mo </td> <td> F </td> <td> 772 </td> <td> 14 mo </td> <td> ZDV </td> <td> Symptomatic AIDS;P2A,D1,3,F </td> </tr> <tr> <td> MD </td> <td> 31 yr </td> <td> </td> <td> 480 </td> <td> 2 yr6 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> ID </td> <td> 28 mo </td> <td> M </td> <td> 46 </td> <td> 28 mo </td> <td> ddC <sup> c </sup> </td> <td> Symptomatic AIDS, P2AB,F; failed ZDV therapy </td> </tr> <tr> <td> MF </td> <td> 23 yr </td> <td> </td> <td> 692 </td> <td> 2 yr10 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IF </td> <td> 1 wk </td> <td> M </td> <td> 2953 </td> <td> 1 wk </td> <td> ZDV </td> <td> Asymptomatic,P1A </td> </tr> <tr> <td> MH </td> <td> 33 yr </td> <td> </td> <td> 538 </td> <td> 5 mo </td> <td> None </td> <td> Asymptomatic </td> </tr> <tr> <td> IHT1 </td> <td> 7 mo </td> <td> F </td> <td> 3157 </td> <td> 7 mo </td> <td> ACTG152 </td> <td> Hepatosplenomeglay lymphadenopathy </td> </tr> <tr> <td> IHT2 </td> <td> 7 mo </td> <td> F </td> <td> 2176 </td> <td> 7 mo </td> <td> ACTG152 </td> <td> Hepatosplenomegaly lymphadenopathy </td> </tr> </tbody> </table> </body> </html>

train

452,639

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train

527,604

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train

126,552

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train

419,695

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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> Author [reference] </b> </td> <td> <b> Country </b> </td> <td> <b> Era </b> </td> <td> <b> Sample size </b> </td> <td> <b> HBsAg + (%) </b> </td> <td> <b> Anti-HCV + (%) </b> </td> <td> <b> HBsAg/anti HCV + (%) </b> </td> <td> <b> Other (%) </b> </td> </tr> </thead> <tbody> <tr> <td> Chen, 1990 [74] </td> <td> Taiwan </td> <td> NR </td> <td> 66 </td> <td> <b> 35 (53.0) </b> </td> <td> 15 (22.7) </td> <td> 7 (10.6) </td> <td> 9 (13.6) </td> </tr> <tr> <td> Chuang, 1991 [75] </td> <td> Taiwan </td> <td> NR </td> <td> 128 </td> <td> <b> 87 (68.0) </b> </td> <td> 13 (10.1) </td> <td> 12 (9.4) </td> <td> 16 (12.5) </td> </tr> <tr> <td> Lee, 1992 [76] </td> <td> Taiwan </td> <td> NR </td> <td> 326 </td> <td> <b> 233 (71.5) </b> </td> <td> 31 (9.5) </td> <td> 10 (3.1) </td> <td> 52 (15.9) </td> </tr> <tr> <td> Jeng, 1991 [77] </td> <td> Taiwan </td> <td> NR </td> <td> 129 </td> <td> <b> 62 (48.1) </b> </td> <td> 29 (22.5) </td> <td> 19 (14.7) </td> <td> 19 (14.7) </td> </tr> <tr> <td> Leung, 1992 [78] </td> <td> Hong Kong </td> <td> 1986–90 </td> <td> 424 </td> <td> <b> 341 (80.3) </b> </td> <td> 16 (3.8) </td> <td> 15 (4.0) </td> <td> 52 (12.3) </td> </tr> <tr> <td> Nishioka, 1990 [79] </td> <td> Japan </td> <td> NR </td> <td> 180 </td> <td> 64 (35.6) </td> <td> <b> 80 (44.4) </b> </td> <td> 11 (6.1) </td> <td> 25 (13.9) </td> </tr> <tr> <td> Saito, 1990 [80] </td> <td> Japan </td> <td> NR </td> <td> 253 </td> <td> 49 (19.4) </td> <td> <b> 136 (53.8) </b> </td> <td> 2 (0.8) </td> <td> 66 (26.1) </td> </tr> <tr> <td> Kiyosawa, 1990 [17] </td> <td> Japan </td> <td> 1958–89 </td> <td> 83 </td> <td> 19 (22.9) </td> <td> <b> 51 (61.4) </b> </td> <td> 10 (12.0) </td> <td> 3 (3.6) </td> </tr> <tr> <td> Hassan, 2001 [81] </td> <td> Egypt </td> <td> 1995–96 </td> <td> 33 </td> <td> 5 (15.2) </td> <td> <b> 25 (75.8) </b> </td> <td> NR </td> <td> NR </td> </tr> <tr> <td> Kew, 1990 [82] </td> <td> South Africa </td> <td> NR </td> <td> 380 </td> <td> 137 (36.1) </td> <td> 63 (16.6) </td> <td> 47 (12.4) </td> <td> 127 (33.4) </td> </tr> <tr> <td> Yu, 1990 [83] </td> <td> USA </td> <td> 1984–89 </td> <td> 58 </td> <td> 22 (37.9) </td> <td> <b> 36 (62.1) </b> </td> <td> NR </td> <td> NR </td> </tr> <tr> <td> Di Bisceglie, 1991 [84] </td> <td> USA </td> <td> 1987–88 </td> <td> 99 </td> <td> 7 (7) </td> <td> 12 (12) </td> <td> 1 (1) </td> <td> <b> 79 (79) </b> </td> </tr> <tr> <td> Hadziyannis, 1995 [85] </td> <td> Greece </td> <td> 1991–92 </td> <td> 65 </td> <td> <b> 33 (50.8) </b> </td> <td> 5 (7.6) </td> <td> 3 (4.5) </td> <td> 23 (38.3) </td> </tr> <tr> <td> Colombo, 1989 [86] </td> <td> Italy </td> <td> 1975–88 </td> <td> 132 </td> <td> 19 (14.4) </td> <td> <b> 64 (48.5) </b> </td> <td> 22 (16.7) </td> <td> 27 (20.5) </td> </tr> <tr> <td> Levrero, 1991 [87] </td> <td> Italy </td> <td> 1980–88 </td> <td> 167 </td> <td> 38 (22.8) </td> <td> <b> 82 (49.1) </b> </td> <td> 15 (9.0) </td> <td> 32 (19.2) </td> </tr> <tr> <td> Simonetti, 1992 [88] </td> <td> Italy </td> <td> 1982–88 </td> <td> 212 </td> <td> 15 (7.1) </td> <td> <b> 133 (62.7) </b> </td> <td> 18 (8.5) </td> <td> 46 (21.7) </td> </tr> <tr> <td> Donato, 1997 [72] </td> <td> Italy </td> <td> 1995–96 </td> <td> 172 </td> <td> 37 (21.5) </td> <td> 65 (37.8) </td> <td> 4 (2.3) </td> <td> 66 (38.4) </td> </tr> <tr> <td> Stroffolini, 1998 [89] </td> <td> Italy </td> <td> 1996–97 </td> <td> 1083 </td> <td> 125 (11.5) </td> <td> <b> 771 (71.2) </b> </td> <td> 55 (5.1) </td> <td> 132 (12.2) </td> </tr> <tr> <td> Bruix, 1989 [90] </td> <td> Spain </td> <td> NR </td> <td> 96 </td> <td> 4 (4.2) </td> <td> <b> 67 (69.8) </b> </td> <td> 5 (5.2) </td> <td> 20 (20.8) </td> </tr> <tr> <td> Nalpas, 1991 [91] </td> <td> France </td> <td> 1982–89 </td> <td> 55 </td> <td> 3 (5.5) </td> <td> <b> 28 (50.9) </b> </td> <td> 9 (16.3) </td> <td> 15 (27.3) </td> </tr> <tr> <td> Van Roey, 2000 [92] </td> <td> Belgium </td> <td> 90s </td> <td> 154 </td> <td> 37 (24.0) </td> <td> <b> 62 (40.0) </b> </td> <td> NR </td> <td> 55 (36.0) </td> </tr> <tr> <td> Haydon, 1997 [93] </td> <td> UK </td> <td> 1985–94 </td> <td> 80 </td> <td> 13 (16.3) </td> <td> 22 (27.5) </td> <td> 2 (2.5) </td> <td> <b> 43 (53.8) </b> </td> </tr> </tbody> </table> </body> </html>

train

300,417

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train

156,559

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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> <i> Location </i> </b> </td> <td> <b> <i> Number of cases </i> </b> </td> <td> <b> <i> Authors </i> </b> </td> </tr> </thead> <tbody> <tr> <td> <b> Retroperitoneu </b> m </td> <td> 97 </td> <td> Seco <i> et al </i> [5], Bapat <i> et al </i> [12], Yamakita <i> et al </i> [13], Morishita <i> et al </i> [14], Genoni <i> et al </i> [15], Ng <i> et al </i> [16], Baikovas <i> et al </i> [17], Johnson <i> et al </i> [18], Martino <i> et al </i> [19], Guglielmi <i> et al </i> [20], Ziv <i> et al </i> [21], Gheysens <i> et al </i> [9], Halvic <i> et al </i> [22], Herrada <i> et al </i> [23], Furuhata <i> et al </i> [24], Ebine <i> et al </i> [25], Sadamoto <i> et al </i> [26], Gravalos <i> et al </i> . [27], Iwamoto <i> et al </i> [28], Sanna <i> et al </i> [29], Singletary <i> et al </i> [30], Curciacrello <i> et al </i> [31], Gonzalez Sanchez <i> et al </i> [32], Schutz <i> et al </i> [33], Perez Garcia <i> et al </i> [34], Irsutti <i> et al </i> [35], Parez <i> et al </i> [36], Buchanan <i> et al </i> [37] </td> </tr> <tr> <td> <i> Peri-renal </i> </td> <td> 24 </td> <td> Ebisno <i> et al </i> . [38], Inoue <i> et al </i> . [39], Takihara <i> et al </i> . [40],,Feudis <i> et al </i> [41], Barret <i> et al </i> . [42], Okada <i> et al </i> [43], Present two cases </td> </tr> <tr> <td> Mesentery </td> <td> 27 </td> <td> Seco <i> et al </i> . [5], Barki <i> et al </i> . [44], Hung <i> et al </i> . [45], Schroff <i> et al </i> . [46], Makipernaa <i> et al </i> . [47], De Heer-Groen <i> et al </i> [48], Parez <i> et al </i> [36], Neerhout <i> et al </i> [49], Powel <i> et al </i> [50], Burke <i> et al </i> [51] </td> </tr> <tr> <td> Greater omentum </td> <td> 3 </td> <td> Volta <i> et al </i> [52], Kiguchi <i> et al </i> [53] </td> </tr> <tr> <td> Gastric </td> <td> 2 </td> <td> Kiguchi <i> et al </i> [53], Yebra <i> et al </i> [54] </td> </tr> <tr> <td> Peri-pancreatic </td> <td> 5 </td> <td> Kiguchi <i> et al </i> [53], Rotman <i> et al </i> [55], Brossard <i> et al </i> [56], Inoue <i> et al </i> [39], Erkan <i> et al </i> [57] </td> </tr> <tr> <td> Pancreatic </td> <td> 3 </td> <td> Chaulin <i> et al </i> [58], Corbisier <i> et al </i> [59], Lepke <i> et al </i> [60] </td> </tr> <tr> <td> Porta hepatitis </td> <td> 5 </td> <td> Rahmouni <i> et al </i> [61], Farkas <i> et al </i> [62], Peck <i> et al </i> [63], Cirillo <i> et al </i> [64] </td> </tr> <tr> <td> Adrenal gland </td> <td> 1 </td> <td> Debatin <i> et al </i> [65] </td> </tr> <tr> <td> Pelvis </td> <td> 27 </td> <td> Seco <i> et al </i> [5], Latte <i> et al </i> [66], Daley <i> et al </i> [67], Boxer <i> et al </i> . [68], Tsukamoto <i> et al </i> [69], Luburich <i> et al </i> [70], Isik <i> et al </i> [71], Ylinen <i> et al </i> [72], Schwartz <i> et al </i> [73], Mondal <i> et al </i> [74], Kiguchi <i> et al </i> [53], Calvo Villas <i> et al </i> [75], Mac Donald <i> et al </i> [76], Fields <i> et al </i> [77], Kkasantikul <i> et al </i> [78], Halvic <i> et al </i> [22], Murphy <i> et al </i> [79] </td> </tr> <tr> <td> Spleen </td> <td> 1 </td> <td> Taura <i> et al </i> [80] </td> </tr> <tr> <td> <b> <i> Total of cases </i> </b> </td> <td> <b> <i> 195 </i> </b> </td> <td> </td> </tr> </tbody> </table> </body> </html>

train

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train

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train

162,475

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train

165,594

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train

229,301

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train

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