Table 4.
The ROC curve data results of various indicators for predicting postoperative prognosis of patients
| Parameters | AUC | SE | 95% CI | |
|---|---|---|---|---|
| Lower | Upper | |||
| NLR | 0.726 | 0.069 | 0.591 | 0.861 |
| SIRI | 0.828 | 0.052 | 0.726 | 0.930 |
| CEA | 0.693 | 0.068 | 0.560 | 0.826 |
| CA19-9 | 0.741 | 0.064 | 0.616 | 0.866 |
| CA125 | 0.706 | 0.067 | 0.575 | 0.837 |
| CA72-4 | 0.605 | 0.072 | 0.464 | 0.746 |
AUC area under curve, SE standard error, 95% CI 95% confidence interval for odds ratio, Lower minimum interval value, Upper maximum interval value. Confidence intervals were recalculated using DeLong’s method for AUC comparison, with verification via 2000 bootstrap resamples to ensure robustness