Figure 8

The ROC curves, calibration curves and DCA of the nomogram. (a, b) The ROC curves to predict 1-, and 2-year PFS, and the AUCs were 0.934 (threshold = 0.032, Specificity = 83.8%, Sensitivity = 85.5%) and 0.939 (threshold = 0.322, Specificity = 90.5%, Sensitivity = 84.1%), respectively. (c, d) Calibration curves showing the probability of 1-, and 2-Year PFS between the nomogram prediction and the actual observation, respectively. Perfect prediction would correspond to a slope of 1 (diagonal 45-degree gray line). (e, f) DCA of the nomogram predicting the probability of 1-, and 2-Year PFS respectively. The x-axis represents the threshold probabilities, and the y-axis measures the net benefit calculated by adding the true positives and subtracting the false positives. The horizontal line along the x-axis assumes that progression-free survival occurred in no patients, whereas the solid gray line assumes that all patients will have progression-free survival at a specific threshold probability. The red dashed line represents the net benefit of using the nomogram.