Fig. 3

Performance and validation of the nomogram model. A Calibration curve of the nomogram for pre-sarcopenia in the training set. B Calibration curve of the nomogram for pre-sarcopenia in the validation set. The X-axis represents the predicted probability and the Y-axis denotes the actual proportion. The diagonal dotted line indicates the best prediction by an ideal model. The apparent line represents the uncorrected performance of the nomogram while the solid line shows the bias-corrected performance. C Receiver operating characteristic curve of the nomogram. Performance evaluation of the nomogram in the training and validation sets. The area under the receiver operating characteristic curve (AUC) in the training set was 0.907. In the validation set, the AUC was 0.912. D Decision curve analysis. The net benefit curves for the nomogram model are shown. X-axis indicates the threshold probability for pre-sarcopenia risk and Y-axis indicates the net benefit. The red and blue line represents the improvement predictive nomogram in the training and validating set. The gray line represents the assumption that all patients used the nomogram model. The black line represents the assumption that no patients use the nomogram model to predict the risk of pre-sarcopenia. Our study showed a wide threshold for the net benefit in training and validating sets