A practical nomogram from the SEER database to predict the prognosis of hepatocellular carcinoma patients with lymph node metastasis

Kai ZhangWeiqi Rong


Background: The presence of lymph node metastases is related to poor survival outcomes in hepatocellular carcinoma patients and because of the reported low probability of lymph node metastasis, research into the prognoses of such patients is difficult to conduct. In this study, we aimed to develop a nomogram model to predict the prognosis of HCC patients with lymph node metastasis and provided a reasonable basis for the choice of follow-up treatment.Methods: HCC patients diagnosed with LN metastasis from 2010 to 2015 were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate Cox regression and lasso regression were used to screen prognostic factors. Cox multiple-factor analysis was employed to investigate the independent prognostic factors for survival. The concordance index (C-index) and calibration curve were used to evaluate the predictive performance of our model. The clinical benefit was assessed via decision curve analysis (DCA). The survival was analyzed using Kaplan-Meier method and the differences among survival curves were compared by the log-rank test.Results: Patients were randomized into the training group (944 patients) and the validation group (402 patients) in a 70:30 ratio. G...Continue Reading

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