©The Author(s) 2023.
World J Gastroenterol. Oct 21, 2023; 29(39): 5483-5493
Published online Oct 21, 2023. doi: 10.3748/wjg.v29.i39.5483
Published online Oct 21, 2023. doi: 10.3748/wjg.v29.i39.5483
Table 2 The multivariate logistic regression results
| Variables | Odds ratio | 95%CI | P value |
| Sex | |||
| Male | 1 | ||
| Female | 2.404 | 1.249-4.626 | 0.009 |
| Preoperative obstruction | |||
| No | 1 | ||
| Yes | 3.119 | 1.427-6.818 | 0.004 |
| Diabetes | |||
| No | 1 | ||
| Yes | 1.485 | 0.602-3.663 | 0.391 |
| Tumor position | |||
| Right | 1 | ||
| Left | 2.511 | 1.088-5.795 | 0.031 |
| Tumor size (cm) | |||
| ≤ 3 | 1 | ||
| > 3 | 2.631 | 0.867-7.977 | 0.088 |
| CEA | |||
| ≤ 5 | 1 | ||
| > 5 | 1.889 | 0.983-3.632 | 0.056 |
| N stage | |||
| N0 | 1 | ||
| N1-N2 | 29.658 | 7.051-124.744 | < 0.001 |
| Differentiation | |||
| Poor | 1 | ||
| Well/moderate | 0.476 | 0.179-1.260 | 0.135 |
- Citation: Zheng HD, Hu YH, Ye K, Xu JH. Development and validation of a nomogram for preoperative prediction of tumor deposits in colorectal cancer. World J Gastroenterol 2023; 29(39): 5483-5493
- URL: https://www.wjgnet.com/1007-9327/full/v29/i39/5483.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i39.5483