Journal of inflammation research
A Non-Endoscopic Dynamic Nomogram for Atrophic Gastritis Risk Stratification Based on Serum Indicators and Clinical Factors
By Fang Z and Zhang Y.
Abstract
Background
Atrophic gastritis (AG) is a key precancerous lesion in gastric carcinogenesis, underscoring the need for non-endoscopic screening tools to improve early detection. This study aimed to develop a predictive model for AG based on serum indicators and clinical factors.
Methods
This single-center retrospective study enrolled 520 patients who underwent gastroscopy with biopsy at Shaoxing Second Hospital between January 2023 and December 2025. AG severity was classified via the Kimura-Takemoto system (no/mild: C0-C1, n=349; moderate/severe: C2-C3 and O-type, n=171). Multivariate analysis was performed to identify independent predictors. The performance of the resulting predictive model was evaluated, and decision curve analysis was used to evaluate the clinical utility across a range of threshold probabilities. An interactive dynamic nomogram was created for real-time risk calculation.
