Copyright: ©Author(s) 2026.
World J Gastrointest Surg. Jul 27, 2026; 18(7): 119514
Published online Jul 27, 2026. doi: 10.4240/wjgs.v18.i7.119514
Published online Jul 27, 2026. doi: 10.4240/wjgs.v18.i7.119514
Table 4 Diagnostic performance of immune-nutritional score based on receiver operating characteristics analysis
| Variables | AUC | Sensitivity (%) | Specificity (%) | Optimal cutoff | 95%CI |
| NEU | 0.7891 | 67.07 | 83.08 | > 4.85 | 0.7247-0.8535 |
| Alb | 0.7854 | 85.37 | 63.03 | < 3.95 | 0.7301-0.8407 |
| Lymphocyte | 0.6457 | 46.34 | 73.94 | < 1.25 | 0.5739-0.7174 |
| CRP | 0.9047 | 81.71 | 86.67 | > 10.68 | 0.8618-0.9476 |
| INS score | 0.9710 | 93.90 | 90.91 | > -0.7155 | 0.9515-0.9904 |
- Citation: Liu WL, Liu HN, Cao MH, Wang HM, Qin XB, Tang JJ, Zhao Y, Ge Y, Han ZX. Immune-nutritional score-based prognostic model for predicting postoperative complications and survival in gastric cancer. World J Gastrointest Surg 2026; 18(7): 119514
- URL: https://www.wjgnet.com/1948-9366/full/v18/i7/119514.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v18.i7.119514