Variables | Preoperative nomogram | Postoperative nomogram | ||
---|---|---|---|---|
Training cohort (482) | Validation cohort (216) | Training cohort (482) | Validation cohort (216) | |
AUC | 0.721 (0.684–0.759) | 0.754 (0.690–0.817) | 0.848 (0.814–0.883) | 0.844 (0.790–0.897) |
Cut-off score | 88 | 88 | 110 | 110 |
Sensitivity | 0.611 (0.567–0.654) | 0.642 (0.578–0.706) | 0.706 (0.665–0.747) | 0.679 (0.617–0.741) |
Specificity | 0.716 (0.676–0.756) | 0.76 (0.703–0.817) | 0.802 (0.766–0.838) | 0.800 (0.746–0.853) |
Positive predictive value | 0.704 (0.663–0.745) | 0.77 (0.714–0.826) | 0.793 (0.756–0.829) | 0.764 (0.707–0.821) |
Negative predictive value | 0.587 (0.543–0.631) | 0.629 (0.565–0.693) | 0.724 (0.684–0.764) | 0.699 (0.638–0.760) |
Positive likelihood ratio | 2.151 (2.011–2.291) | 2.675 (2.393–2.957) | 3.564 (3.294–3.834) | 3.394 (3.014–3.774) |
Negative likelihood ratio | 0.543 (0.499–0.587) | 0.471 (0.404–0.538) | 0.367 (0.324–0.411) | 0.401 (0.336–0.466) |