Observational studyScientific reports2025
Relationship between serum uric acid levels and metabolism associated fatty liver disease in postmenopausal women based on NHANES 2017-2020.
Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Correlation Between Serum Uric Acid and Metabolic Dysfunction-Associated Fatty Liver Disease: An Updated Systematic Review and Meta-Analysis.Journal of general internal medicine · 2026Pooled it
- ABCG2 transporter: Structural and functional associations with gout (Review).International journal of molecular medicine · 2026Review
- Association of AGAHR with metabolic dysfunction-associated steatotic liver disease (MASLD).Hormones (Athens, Greece) · 2026Article
- Predicting short-term composite outcome risk in heart failure patients using a machine learning model incorporating UHR: a retrospective cohort study.Frontiers in nutrition · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies have shown that postmenopausal women have more metabolic abnormalities than premenopausal women. No consensus exists on how serum uric acid (sUA) affects metabolism-associated fatty liver disease (MAFLD) in postmenopausal women.This prospective observational study examined this link using National Health and Nutrition Examination Survey (NHANES) 2017 to 2020 data. We divided women's sUA levels into four quartiles and used logistic regression, subgroup analyses, and restricted triple spline methods to compare the prevalence of MAFLD in postmenopausal and non-menopausal women. We also used histograms to analyze the effect of BMI-based indices. This population-based study involved 4477 women, including 1139 postmenopausal women aged 55-73 years. Multivariate logistic regression showed that, in the fully adjusted model, we found that participants in the highest quartile of sUA had a statistically significant 254% increased risk of MAFLD compared with participants in the lowest quartile (OR: 3.54; 95% CI 3.54 1.47-8.55; P < 0.001). Subgroup analyses showed no significant interaction between sUA levels and specific subgroups P( > 0.05 for all interactions). Additionally, RCS and threshold analysis showed a linear correlation (P = 0.186) and an ideal inflection point of 4.6 (P = 0.818) to the left. Right of the inflection point, the effect size was 1.524 (95% CI 1.291-1.814; P < 0.01). Histograms demonstrated that postmenopausal BMI increased sUA's influence on MAFLD and higher sUA levels and BMI may enhance the prevalence of MAFLA in US postmenopausal women. The results of this study suggest that monitoring sUA levels in the postmenopausal period is critical in determining the occurrence of and interventions for MAFLD.
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Registered trials
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