©The Author(s) 2022.
World J Gastroenterol. Jun 28, 2022; 28(24): 2721-2732
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2721
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2721
Table 1 Baseline characteristics of patients in entire cohort
| Variable | Non-PEB, n = 5304 | PEB, n = 325 | P value1 |
| Age2 | 64 ± 10 | 63 ± 11 | 0.065 |
| Sex | 0.001 | ||
| Female | 1245 (23.5) | 49 (15.1) | |
| Male | 4059 (76.5) | 276 (84.9) | |
| Hypertension | 1413 (26.6) | 120 (36.9) | < 0.001 |
| Diabetes mellitus | 936 (17.6) | 74 (22.8) | 0.024 |
| Liver cirrhosis | 93 (1.8) | 4 (1.2) | 0.629 |
| Chronic kidney disease | 299 (5.6) | 33 (10.2) | 0.001 |
| Aspirin | 515 (9.7) | 42 (12.9) | 0.074 |
| P2Y12RA | 181 (3.4) | 23 (7.1) | 0.001 |
| Warfarin | 22 (0.4) | 7 (2.2) | < 0.001 |
| DOAC | 31 (0.6) | 6 (1.8) | 0.017 |
| Cilostazol | 47 (0.9) | 3 (0.9) | 1.000 |
| NSAIDs | 28 (0.5) | 3 (0.9) | 0.583 |
| Preprocedure management of AT | < 0.001 | ||
| No indication | 4605 (86.8) | 264 (81.2) | |
| Interruption | 676 (12.7) | 53 (16.3) | |
| Replacement or heparin bridge | 23 (0.4) | 8 (2.5) | |
| Tumor | |||
| Multiple | 284 (5.4) | 28 (8.6) | 0.018 |
| Location | < 0.001 | ||
| Upper | 433 (8.2) | 22 (6.8) | |
| Middle | 1728 (32.6) | 157 (48.3) | |
| Lower | 3143 (59.3) | 146 (44.9) | |
| Size2, mm | 17 ± 10 | 21 ± 13 | < 0.001 |
| Undifferentiated type | 125 (2.4) | 7 (2.2) | 0.963 |
| Piecemeal resection | 64 (1.2) | 4 (1.2) | 1.000 |
| Laboratory data | |||
| Albumin2, g/dL | 4.3 ± 0.3 | 4.4 ± 0.4 | 0.345 |
| INR2 | 1.0 ± 0.1 | 1.0 ± 0.1 | 0.106 |
- Citation: Na JE, Lee YC, Kim TJ, Lee H, Won HH, Min YW, Min BH, Lee JH, Rhee PL, Kim JJ. Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer. World J Gastroenterol 2022; 28(24): 2721-2732
- URL: https://www.wjgnet.com/1007-9327/full/v28/i24/2721.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i24.2721