Development and validation of a postoperative prediction model for residual stones after hepatectomy in patients with hepatolithiasis

Figure 5 Decision curves and classification performance across decision thresholds. A: Decision-curve analysis displaying the standardized net clinical benefit of the least absolute shrinkage and selection operator-logistic regression model compared with “treat-all” and “treat-none” strategies across risk thresholds in the development cohort; B: Decision-curve analysis in the held-out validation cohort; C: Classification performance metrics (sensitivity, specificity, positive predictive value, and negative predictive value) as a function of decision thresholds in the development cohort. The vertical dashed line indicates the pre-specified optimal cutoff of 0.270 derived from the maximum Youden index; D: Classification performance profiles across decision thresholds in the held-out validation cohort at the locked 0.270 cutoff. LASSO-LR: Least absolute shrinkage and selection operator-logistic regression; NPV: Negative predictive value; PPV: Positive predictive value.