A nomogram for prediction of stage III/IV gastric cancer outcome after surgery: A multicenter population-based study.

ABSTRACT: Most patients with gastric cancer (GC) are first diagnosed at stage III-IV and surgery resection remains the primary therapeutic modality for these patients. However, clinical staging used for prediction of those patients provides limited information. We collected clinicopathological data and disease-progression information from 508 patients with stage III-IV GC at three Chinese hospitals and 1298 patients from the Surveillance, Epidemiology, and End Results database. Based on the stepwise multivariate regression model, we constructed a novel nomogram to predict overall survival (OS). The performance of discrimination for this model was measured using Harrell's concordance index (C-index) and receiver-operating characteristic curve (ROC), and was validated using calibration plots. Multivar

SUBMITTER: Gao Z 

PROVIDER: S-EPMC7402842 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature