Original Article(s)
Vol. 13 (2025)
Gastritis: identifying determinants for complication prevention. An analysis carried out from cases of an Italian surgical pathology laboratory
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Published: 22 December 2025
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Background: because of the impact of gastritis on patients' quality of life and the importance of accurate diagnosis to identify potential precancerous lesions related to them, we evaluated the determinants that could most influence the risk of gastritis development and gastric mucosa alterations. Materials and Methods: gastric biopsies performed from September to November 2023 were collected. Univariate and multivariate logistic regression models were used to identify determinants of gastritis, gastric mucosa alterations and gastrectomy (sleeve). Results of logistic model were presented as Odds Ratio (OR) with a 95% Confidence Interval (CI) and corresponding p-value. Results: univariate and multivariate logistic analysis showed an increase in odds of gastritis development related to age, while the increase in odds of gastric alterations was also related to gender. Male gender and age ≥65 decreased the odds of receiving a gastric resection (sleeve). Conclusions: recognizing determinants having a greater impact on gastritis and gastric alterations development is imperative, to identify people who are most at risk, so that preventive population interventions can be evaluated.
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How to Cite
Gastritis: identifying determinants for complication prevention. An analysis carried out from cases of an Italian surgical pathology laboratory. (2025). Working Paper of Public Health, 13. https://doi.org/10.4081/wpph.2025.10180
Copyright (c) 2025 Sara Biasion, Stefania Erra, Carlotta Bertolina, Riccardo Mazzucco, Giovanni Angeli, Elia Ranzato, Marinella Bertolotti, Antonio Maconi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
