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Updated: Dec 15, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A validated survival nomogram for early-onset diffuse gastric cancer
Fei Liao1, Xufeng Guo2, Xiaohong Lu1
1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan 430061, Hubei Province, China.
This study developed a survival nomogram for early-onset diffuse gastric cancer (EODGC) patients. The nomogram offers improved individual risk prediction compared to the current AJCC staging system.
Area of Science:
- Oncology
- Medical Statistics
Background:
- Early-onset diffuse gastric cancer (EODGC) presents unique challenges in risk stratification.
- Existing staging systems may not fully capture individual prognostic variability.
Purpose of the Study:
- To develop and validate a prognostic nomogram for personalized survival prediction in EODGC patients.
- To compare the nomogram's performance against the established AJCC staging system.
Main Methods:
- Retrospective analysis of 794 EODGC patients from the SEER database (training and internal validation sets).
- Independent validation using data from 82 EODGC patients at Renmin Hospital of Wuhan University.
- LASSO regression to identify key clinicopathological predictors for nomogram construction.
Main Results:
- Five features (race, AJCC stage, primary site surgery, chemotherapy, tumor size) were identified for the nomogram.
- The developed nomogram demonstrated superior predictive performance and calibration compared to the AJCC staging system.
- The nomogram showed good accuracy in both SEER and independent validation cohorts.
Conclusions:
- A novel survival nomogram provides accurate and individualized prognostic predictions for EODGC patients.
- The nomogram may serve as a valuable tool for clinical decision-making, outperforming the current AJCC staging.
- Further validation in diverse populations is warranted to solidify its clinical utility.
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