Table 4.

The predictive performance of nomogram models

	OS model	DFS model
AUC	0.744	0.695
95% CI	0.623–0.850	0.611–0.774
Specificity	0.983	0.748
Sensitivity	0.417	0.560
Accuracy	0.931	0.712
PLR	24.583	2.219
NLR	0.593	0.588
PPV	0.714	0.346
NPV	0.943	0.877

PLR positive likelihood ratio, NLR negative likelihood ratio, NPV negative predictive value, PPV positive predictive value