A simple model established by blood markers predicting overall survival after radical resection of gastric cancer

Abstract

The prognostic prediction after radical resection of gastric cancer patients has not been well established. We aimed to establish a prognostic model based on a new score system, which included another clinical routine serum marker. Methods 904 patients who underwent surgery at the First Affiliated Hospital of Anhui Medical University from January 2010 to January 2011 were included. Univariate and multivariate analyses were used to screen for prognostic risk factors. The construction of the nomogram is based on the Cox proportional hazard regression model. The construction of the new scoring model is analyzed by the receiver operator characteristic curve (ROC curve) and then compared with other clinical indicators. Results Multivariate analysis showed that TNM stage, CEA, SII and age were independent prognostic factors. The new score system had a higher AUC value than other risk factors, and the C-index of the nomogram was highly consistent for evaluating survival of gastric cancer patients in The validation groups and training group. Conclusions Based on the serum markers and other clinical indicators, we developed a precise model to predict the prognosis of gastric cancer patients after radical surgery. This score system can provide effective help for surgeons and patients.