The Clinical Value of Systemic Oxidative Stress Score in Predicting Long-term Survival and Recurrence Risk in Gastric Cancer: A Multicenter Real-world Cohort Study

We retrospectively analyzed the clinical data of gastric cancer patients who underwent radical gastrectomy in three hospitals from January 2009 to June 2020. The data from one hospital were randomly divided into a training cohort and an internal validation cohort in a 7:3 ratio, while the data from the other two centers were used as an external validation cohort. In the training cohort, COX proportional risk models were employed to identify key indicators of SOSS and independent prognostic factors influencing patients' OS and DFS. Subsequently, based on the results of the multifactor COX analysis, two predictive models for OS and DFS were developed. The predictive efficacy, calibration, and clinical utility of the models were evaluated using ROC curves, calibration curves, and decision curves in the internal and external validation cohorts, respectively. Both models demonstrated good discriminative ability between postoperative survival and recurrence risk, outperforming TNM staging in terms of predictive accuracy.