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©The Author(s) 2024.
World J Gastroenterol. Jan 7, 2024; 30(1): 79-90
Published online Jan 7, 2024. doi: 10.3748/wjg.v30.i1.79
Published online Jan 7, 2024. doi: 10.3748/wjg.v30.i1.79
Table 2 Incidence of complications in the training group and validation groups
| Training group | Validation group | |
| Complication | 164 | 78 |
| Anastomotic leakage | 23 | 11 |
| Anastomotic stricture | 5 | 5 |
| Anastomotic bleeding | 6 | 0 |
| Pancreatic fistula | 3 | 0 |
| Gastric and Intestinal stasis | 10 | 0 |
| Bleeding of peritoneal cavity | 7 | 1 |
| Surgical incision infection or fat liquefaction | 18 | 3 |
| Pulmonary infection | 42 | 5 |
| Abdominal infection | 27 | 29 |
| Sepsis | 5 | 0 |
| Urinary tract infection | 1 | 13 |
| Intestinal obstruction | 14 | 7 |
| Lymphorrhea | 10 | 4 |
| Deep vein thrombosis | 1 | 1 |
| Pulmonary embolism | 1 | 1 |
| Cardiac arrhythmia | 0 | 0 |
| Biliary leakage | 1 | 0 |
- Citation: Hong QQ, Yan S, Zhao YL, Fan L, Yang L, Zhang WB, Liu H, Lin HX, Zhang J, Ye ZJ, Shen X, Cai LS, Zhang GW, Zhu JM, Ji G, Chen JP, Wang W, Li ZR, Zhu JT, Li GX, You J. Machine learning identifies the risk of complications after laparoscopic radical gastrectomy for gastric cancer. World J Gastroenterol 2024; 30(1): 79-90
- URL: https://www.wjgnet.com/1007-9327/full/v30/i1/79.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i1.79