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©The Author(s) 2022.
World J Gastrointest Surg. Sep 27, 2022; 14(9): 940-949
Published online Sep 27, 2022. doi: 10.4240/wjgs.v14.i9.940
Published online Sep 27, 2022. doi: 10.4240/wjgs.v14.i9.940
Table 2 Prediction factors for recurrence of gastrointestinal stromal tumor
| Intercept and variable | Prediction model | ||
| β | Odds ratio (95%CI) | P value | |
| Intercept | -3.0092 | 0.049 (0.006-0.245) | 0.001 |
| Mitotic rate | 3.2152 | 24.907 (2.215-707.556) | 0.020 |
| Ki-67 | 0.7514 | 2.120 (0.340-15.083) | 0.425 |
| Intratumoral necrosis | -0.2675 | 0.765 (0.081-5.421) | 0.799 |
| Tumor size | -0.0147 | 0.985 (0.115-10.405) | 0.989 |
| Tumor site | 3.4115 | 30.313 (3.265-405.088) | 0.003 |
| Age | 0.1048 | 1.110 (0.228-5.611) | 0.895 |
- Citation: Guan SH, Wang Q, Ma XM, Qiao WJ, Li MZ, Lai MG, Wang C. Development of an innovative nomogram of risk factors to predict postoperative recurrence of gastrointestinal stromal tumors. World J Gastrointest Surg 2022; 14(9): 940-949
- URL: https://www.wjgnet.com/1948-9366/full/v14/i9/940.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v14.i9.940