Table 2.
AUC | 95% CI | Cut-off | Sen | Spe | Youden index | PPV | NPV | P value | |
---|---|---|---|---|---|---|---|---|---|
NLR | 0.679 | 0.653–0.705 | 2.91 | 0.55 | 0.734 | 0.284 | 0.549 | 0.734 | < 0.001 |
CEA | 0.647 | 0.62–0.674 | 4.34 | 0.485 | 0.763 | 0.248 | 0.546 | 0.719 | < 0.001 |
CA199 | 0.649 | 0.622–0.675 | 18.69 | 0.497 | 0.741 | 0.238 | 0.537 | 0.727 | < 0.001 |
CA724 | 0.662 | 0.636–0.688 | 6.96 | 0.447 | 0.807 | 0.254 | 0.447 | 0.799 | < 0.001 |
P1 | 0.716 | 0.691–0.74 | 0.39 | 0.538 | 0.75 | 0.333 | 0.568 | 0.758 | 0.209 |
P2 | 0.73 | 0.705–0.754 | 0.39 | 0.649 | 0.728 | 0.377 | 0.637 | 0.733 | Ref |
AUC area under receiver operating characteristics, CI confidence interval, Sen sensitivity, Spe specificity, PPV positive predictive value, NPV negative predictive value, P P value for comparison of AUC of reference with other indicators using DeLong’s test, P1 prediction probability obtained by binary logistic regression combining CEA, CA199, CA724, P2 prediction probability obtained by binary logistic regression combining CEA, CA199, CA724 and NLR, Ref reference.