Construction and validation of the nomogram based on predictors of lymph nodes metastasis
pancreatic cancer, NRI
PANCREATIC CANCER, LYMPH NODE METASTASIS
The minimum Akaike’s information criterion (AIC) was used to select the optimal model parameters and construct a nomogram for assessing the risk of LNM (Arunajadai The nomogram for the risk of lymph node metastasis in resectable pancreatic cancer patientsROC of the nomogram for the training cohort (The calibration plots of the training cohort (The clinical application value was determined by DCA which calculates the net benefits at different risk threshold probabilities. The net benefit of the nomogram was the largest in comparison to the grade and T-stage, which indicated the nomogram was a reliable clinical tool for predicting LNM in PC patients who underwent surgical resection (Fig. Nomogram decision curves (DCA) for the training cohort (Additionally, the accuracy of the nomogram compared with the T-stage was demonstrated by the NRI and IDI. The NRI was 0.370 (95%CI: 0.329–0.411) and the IDI was 0.044 (95%CI: 0.039–0.048, The Kaplan–Meier overall survival curves of training and internal/external validation groups are plotted in Fig. The Kaplan–Meier overall survival (OS) analysis of lymph node metastasis in the training set (