ArticleFrontiers in nutrition2026
Association between
Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
Background: Methods: A total of 1,021 participants from a Chinese hospital-based cohort and 4,870 participants from the U.S. National Health and Nutrition Examination Survey (NHANES 1999-2000) were included. In the Chinese cohort, active HP infection was assessed using the 13C or 14C-urea breath test, and MASLD was diagnosed by ultrasonography. In NHANES, HP exposure was defined by serum IgG seropositivity, and MASLD was approximated using the Fatty Liver Index (FLI). Logistic regression was used to assess the association between HP and MASLD. Mediation analysis was conducted to explore potential metabolic and inflammatory pathways. Eleven machine learning models were developed in the Chinese cohort and evaluated using ROC, calibration, and SHAP analysis, with external comparison in NHANES using a reduced feature set to minimize potential bias. Results: In the Chinese cohort, HP infection was significantly associated with MASLD in crude (OR = 7.11), age- and sex-adjusted (OR = 6.48), and further adjusted models (including diabetes, cholesterolemia, and BMI; OR = 4.83, 95% CI: 3.07-7.23, Conclusion: HP infection was associated with MASLD in both Chinese and U.S. populations. Interpretable machine learning models demonstrated potential for MASLD risk stratification, with consistent identification of key predictors across cohorts. However, due to cross-sectional design, differences in diagnostic definitions, and the use of FLI in NHANES, findings should be interpreted as associative rather than causal, and external validation results should be considered exploratory.
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