Development and validation of the nomograms
REGRESSION
We constructed a new nomogram based on the multivariate Cox regression analysis model to predict CSS at 3, 5, and 8 years in non-surgical treated elderly PC patients (Fig. The nomogram for predicting 3-, 5-, 8-year CSS in elderly PC patients undergoingelderly non-surgical treated PC patients.Internal cross-validation was used to verify the accuracy and discriminability of the model. The C-index for the training and validation set is 0.894 (95% CI 0.888–0.900) and 0.897 (95% CI 0.887–0.907), respectively, indicating that the prediction model has good recognition ability. The calibration curve indicates that the nomogram has good accuracy, and the results show that the predicted values of the nomogram are highly consistent with the actual observed values (Fig. Calibration curve of the nomogram in the training set (AUC for predicting 3-, 5-, and 8-year CSS in the training set (