ArticleArchives of medical science : AMS2024
Nomogram for predicting reflux esophagitis with routine metabolic parameters: a retrospective study.
Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Development of an Explainable Machine Learning Model for Predicting Reflux Esophagitis Among Candidates for Metabolic Bariatric Surgery.Obesity surgery · 2026Article
- Development and Internal Validation of a Nomogram for Predicting Reflux Esophagitis in Candidates for Metabolic Bariatric Surgery.Obesity surgery · 2026Article
- Metabolic correlates of endoscopy-confirmed reflux esophagitis in hospital-based patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
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Authors and funding
3 authors.
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Abstract
Introduction: The prevalence of reflux esophagitis (RE) is relatively high around the world. We investigated routine metabolic parameters for associations with RE prevalence and severity, creating a user-friendly RE prediction nomogram. Material and methods: We included 10,881 individuals who had upper gastrointestinal endoscopy at a hospital. We employed univariate and multivariate logistic regression for independent risk factors related to RE prevalence, and conducted ordinal logistic regression for independent prognostic factors of RE severity. Subsequently, a nomogram was constructed using multivariate logistic regression analysis, and its performance was assessed through the utilization of receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC) analysis. Results: In this study, 43.8% (4769 individuals) had confirmed RE. Multivariate analysis identified BMI, age, alcohol use, diabetes, Conclusions: Our study highlights the association between the routine metabolic parameters and RE prevalence and severity. The nomogram may be of great value for the prediction of RE prevalence.
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