KEY TAKEAWAYS
- The study aimed to develop a comprehensive model to predict the individual survival of patients with GC undergoing surgical resection.
- The study found that adding CRP improved the survival prediction model’s sensitivity and accuracy for patients with GC.
Predicting the survival of patients diagnosed with gastric cancer (GC) who have undergone radical resection is crucial for providing optimal patient care.
Xi Luo aimed to develop a comprehensive model based on 5 GLIM variables, including C-reactive protein (CRP) as an inflammatory marker, to predict 5-year overall survival (OS) in patients with GC and offer more accurate patient counseling.
This retrospective cohort study included 301 patients with GC who underwent radical resection. CRP was included in the GLIM criteria as an inflammatory marker. A nomogram was developed to predict 5-year OS in patients with GC. The Bootstrap repeated sampling method was used for internal validation, with 1000 repetitions.
Of the 301 patients, 20 (6.64%) died within 5 years. The inclusion of CRP as a factor in the survival prediction model led to an improvement in both sensitivity and accuracy. The area under the curve (AUC) was 0.782 (95% CI: 0.694-0.869) for the model without CRP and 0.880 (95% CI: 0.809 – 0.950) for the model with CRP.
A nomogram based on GLIM was created, achieving an AUC of 0.889. The C-index for OS prediction was 0.878 (95% CI: 0.823-0.934), and the calibration curve demonstrated a good fit. Decision curve analysis (DCA) supported the clinical usefulness of the nomogram based on GLIM.
The integration of CRP enhanced both the accuracy and sensitivity of the survival prediction model. The nomogram developed in this study offered a reliable method for predicting the 5-year survival probability of patients with GC following radical resection.
This research supported by Medical Science and Technology Project of Zhejiang Province (Grant No.2023KY360), Chinese Medicine Research Program of Zhejiang Province (Grant No.2024ZL 349) and Research Fund Project of Zhejiang Nutrition Society (Grant No. ZN-YCHP-2023-005).
Source: https://pubmed.ncbi.nlm.nih.gov/39261751/
Luo X, Cai B, Jin W. (2024). “A modified GLIM criteria-based nomogram for the survival prediction of gastric cancer patients undergoing surgical resection.” BMC Gastroenterol. 2024;24(1):307. Published 2024 Sep 11. doi:10.1186/s12876-024-03395-5
