ArticleFrontiers in medicine2022
Risk Factors Analysis and Prediction Model Establishment of Intestinal Metaplasia or Dysplasia in Patients With Chronic Atrophic Gastritis: A Multi-Center Retrospective Study.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- A novel nomogram for predicting the morbidity of chronic atrophic gastritis based on serum CXCL5 levels.BMC cancer · 2025Article
- Efficacy and validation of a clinical predictive model for chronic atrophic gastritis in patients: a multi-center retrospective analysis.Frontiers in medicine · 2025Article
- Effectiveness of serological markers of gastric mucosal atrophy in the gastric precancer screening and in cancer prevention.World journal of gastrointestinal endoscopy · 2024Article
- Review
- [Identification of potential pathogenic genes of intestinal metaplasia based on transcriptomic sequencing and bioinformatics analysis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Hotspots and trends of risk factors in gastric cancer: A visualization and bibliometric analysis.World journal of gastrointestinal oncology · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
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Abstract
Objective: To investigate the risk factors and construct a prediction model of chronic atrophic gastritis (CAG) patients with intestinal metaplasia or dysplasia. Method: The clinical data of 450 patients with CAG who were diagnosed and treated in the Department of Gastroenterology of the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine from June 2016 to February 2022 were collected. Single and multiple factors logistic regression analysis were used to explore the risk factors of intestinal metaplasia or dysplasia in patients of training cohort. Then, we constructed a model to predict the onset of intestinal metaplasia or dysplasia based on the data of training cohort, following which we tested the model in an external validation cohort of 193 patients from a local university teaching hospital. The ROC curve, calibration curve, and decision curve analysis were used to evaluate the accuracy of the prediction model. Result: Conclusion: HP infection, pepsinogen I, gastrin-17, and the number of lesions are independent risk factors for intestinal metaplasia or dysplasia in patients with CAG. The prediction model constructed based on these factors has a high accuracy and excellent calibration, which can provide a great basis for condition assessment and individualized treatment of the patients.
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