Published online Jan 27, 2023. doi: 10.4240/wjgs.v15.i1.49
Peer-review started: September 20, 2022
First decision: October 5, 2022
Revised: October 18, 2022
Accepted: December 21, 2022
Article in press: December 21, 2022
Published online: January 27, 2023
Nearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established.
To identify clinical characteristics and develop a specific nomogram to determine overall survival for GC patients.
Nine hundred and four GC patients treated at the First Affiliated Hospital of Anhui Medical University between January 2010 and January 2013 were recruited. Prognostic risk variables were screened for Cox analysis. The C index, receiver operator characteristic (ROC) curve, and decision curve analysis were used to evaluate the nomogram.
Tumor node metastasis stage, carcinoembryonic antigen, systemic immune-inflammation index, and age were identified as independent predictive variables by multivariate analysis. Systemic immune-inflammation index value was superior to that of other inflammatory indicators. The ROC indicated the nom
We created a novel nomogram to forecast the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system.
Core Tip: According to our study, the prognosis of patients with gastric cancer (GC) was significantly influenced by the systemic immune-inflammation index, carcinoembryonic antigen, tumor node metastasis stage, and age. We created a novel nomogram to predict the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system.