Fig. 5

The evaluation of nomogram. A, D The calibration curves for predictions of ICI-P of training cohort (A) and validation cohort (D). The dashed line indicated ideal predictions, the solid line represents actual predictions of nomogram. The closer the distance of two lines, the better the performance of the predictive model. B, E ROC curves for the nomogram of training cohort (B) and validation cohort (E). The AUCs exceed 0.8, which demonstrated that the nomogram could predict the risk of ICI-P. C, F Decision curve analysis for the nomogram of training cohort (C) and validation cohort (F). The black line represents the net benefit at the time when no patients have ICI-P, while the blue line represents the net benefit at the time when all patients have ICI-P; the red line represents a model curve. The area under the three lines demonstrates the clinical usefulness of the nomogram