Statistical analysis
The cohort was randomly divided into training and validation sets at 7:3 ratio. The training set was subjected to Kaplan–Meier and log‐rank analyses to examine their association with DFS or OS, and factors with Nomograms were evaluated for discrimination ability with the consistency index (C‐index) and area under curve (AUC) of the corresponding receiver operating characteristic (ROC).All statistical analyses were performed with SPSS (25.0), GraphPad Prism (8.4.3) and the R programming language (4.0.5). The R statistical packages “rms,” “survival,” “foreign,” and “survivalROC” were used to calculate the C‐index and plot the calibration curves, the ROC curves. All statistical tests were two‐sided with the significance level set at 0.05.