Copyright
©The Author(s) 2023.
World J Gastrointest Surg. Sep 27, 2023; 15(9): 1978-1985
Published online Sep 27, 2023. doi: 10.4240/wjgs.v15.i9.1978
Published online Sep 27, 2023. doi: 10.4240/wjgs.v15.i9.1978
Table 2 Multivariate logistic regression analysis of factors affecting postoperative stress ulcer in patients with colorectal cancer
Variables | β | SE | Wald | P value | OR | 95%CI |
Age | 3.301 | 1.505 | 4.811 | 0.028 | 27.146 | 1.421-518.593 |
Lymph node metastasis | 3.462 | 1.721 | 4.048 | 0.044 | 31.869 | 1.093-928.858 |
HSP70 | 2.496 | 1.132 | 4.857 | 0.028 | 12.129 | 1.318-928.858 |
HSP90 | 0.169 | 0.061 | 7.758 | 0.005 | 1.184 | 1.051-1.333 |
GAS | 0.041 | 0.018 | 5.510 | 0.019 | 1.042 | 1.007-1.079 |
- Citation: Yu DM, Wu CX, Sun JY, Xue H, Yuwen Z, Feng JX. Prediction model of stress ulcer after laparoscopic surgery for colorectal cancer established by machine learning algorithm. World J Gastrointest Surg 2023; 15(9): 1978-1985
- URL: https://www.wjgnet.com/1948-9366/full/v15/i9/1978.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v15.i9.1978