Fig. 2

Discrimination and validation of nomogram for predicting LNM in T1/T2 gallbladder cancer. a and c ROC for discrimination in the training and validation sets. The AUCs of the nomograms were 0.702 (95% CI 0.659–0.745) and 0.692 (95% CI 0.625–759), respectively. b and d Calibration plot for the nomogram in the training and validation sets. The x-axis represents the nomogram predicted probabilities as measured by logistic regression analysis, and the y-axis represents the actual probabilities. (ROC, receiver operating characteristics; AUC, area under the curve; 95%CI, 95% confidence interval)