Evaluation and validation of model performance
As shown in Fig. 
Calibration Belts in the Validation cohort. (To evaluate the discrimination of the prediction model, we validated the AUROC of our model in the validation cohort and compared it to the ISAN model [
ROC and decision curves in the Validation cohort. DCA: decision curve analysis
Performance metrics0.6930(0.62–0.766)0.7167(0.6448–0.7886)0.7228(0.6514–0.7941)0.8116(0.7499–0.8733)0.4384(0.2877–0.589)0.5236(0.4069–0.6402)0.4784(0.346–0.6107)0.1279(0.0834–0.1724)0.2098(0.1519–0.2678)0.1841(0.1279–0.2402)AUROC: area under the receiver operating characteristic curve; DCA: decision curve analysis; NRI: net reclassification index; IDI: integrated discrimination index;#: results of Delong’ test compared to our modelIn DCA (Fig. 