Nomogram verification and clinical applicability
A range of validation method were utilized to ensure the accuracy and reliability of the constructed nomogram in current study. The following describes the content and methods of evaluation applied in this study. These validation method was included the following texts mention:the calibration and discrimination of the nomogram were evaluated using bootstrapping with 500 resamples. Comparisons were conducted using net reclassification index (NRI) and integrated discrimination improvement (IDI), which are relatively new markers. This method made the comparisons more thorough and accurate. The concordance index (C-index) and the area under the time-dependent receiver operating characteristic curve (AUC) were employed as assessment tools to assess the potential for differentiation in the new model (Decision curve analysis (DCA) is a novel method to assess the clinical utility of a model by determining the net benefit at different risk thresholds. DCA was employed for evaluating new nomogram of clinical potential application. The threshold probability and net benefit of the model were plotted on the abscissa and ordinate, respectively. A higher DCA curve for a model indicates greater clinical utility, as it reflects a higher net benefit at a given risk threshold (