A modified GLIM criteria-based nomogram for the survival prediction of Gastric Cancer Patients undergoing Surgical Resection

Abstract Background: This study aimed to develop a comprehensive model based on five GLIM variables to predict the individual survival and provide more appropriate patient counseling. Methods: This retrospective cohort study included 210 gastric cancer (GC) patients undergoing radical resection, among whom 150 patients in the development cohort and 60 patients in the external validation cohort. C-reactive protein (CRP) as an inflammatory marker was included in GLIM criteria and a nomogram for predicting 5-year overall survival (OS) in GC patients was established. Results: Of the total 210 patients, 16 (7.62%) died within 5 years. CRP improved the sensitivity and accuracy of the survival prediction model (AUC=0.779, 0.563 to 0.849 for the model without CRP; AUC=0.896, 0.645 to 0.963 for the model adding CRP). Besides, a GLIM-based nomogram was established with an AUC of 0.896. The C-index for predicting OS was 0.804 (95% CI: 0.645 to 0.963), and the calibration curve fitted well. Decision curve analysis (DCA) showed the clinical utility of the nomogram based on GLIM. Conclusion: The addition of CRP improved the sensitivity and accuracy of the survival prediction model. The 5-year survival probability of GC patients undergoing radical resection can be reliably predicted by the nomogram presented in this study.