Exploring the High-Risk Factors of Gastric 'Inflammatory Cancer Transformation' Based on Inflammatory Immune Response: Construction of RHPI Complicated With CAG Risk Prediction Model
A practical prediction model identifies high-risk stomach inflammation with good accuracy, helping catch a major cancer precursor earlier in vulnerable populations.
This retrospective cohort study develops and validates a nomogram for predicting chronic atrophic gastritis in refractory H. pylori patients with strong performance (AUC 0.833) using clinically accessible variables. While focused on gastric precancer risk assessment outside the core watchlist, the model represents a practical early-detection tool for a globally prevalent cancer precursor condition.
What the study was
- Study design
- Retrospective cohort study with nomogram development and validation
- Population
- 367 RHPI (refractory H. pylori infection) patients from Guang'Anmen Hospital (Jan 2015–Dec 2024)
- Sample size
- 367
- Category
- Early Detection
- Maturity
- Validated
- Journal
- Cancer Medicine
Why it surfaced
Good predictive model performance (AUC 0.833) with accessible clinical variables. Outside primary watchlist (gastric precancer), hence unsolicited_find=true. Single-center China study limits generalizability; multicenter validation needed.
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