Fig. 5

(A) The ROC curve illustrates the performance of the prediction model and CALLYI, represented by red and green lines respectively. The AUC values are 0.825 (95% CI: 0.817-0.834) for the prediction model and 0.598 (95% CI: 0.585-0.611) for CALLYI. Additionally, the prediction model achieved a sensitivity of 79.8% and a specificity of 71.2%. (B) DCA shows that the red curve represents the net benefit of using the prediction model, while the black line indicates the scenario where no prediction model is utilized.