ArticleScientific reports2025
Diabetes is the missing link between cardiometabolic index and gallstones: a large cross-sectional study.
Article 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.
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Who cites it
4 citing papers in PubMed.
- Association between atherogenic index of plasma and hypertension in children and adolescents based on LightGBM prediction model.Scientific reports · 2026Article
- Unpacking the association between chewing capacity and gallstone prevalence: a cross-sectional analysis of NHANES data.International journal of surgery (London, England) · 2025Article
- Association between volatile organic compounds exposure and cardiometabolic function: a population-based study.Frontiers in public health · 2025Article
- High visceral adiposity and low skeletal muscle mass independently predict the development of acute cholecystitis in patients with gallstones: a retrospective cohort study.Frontiers in medicine · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
The cardiometabolic index (CMI), which integrates individual lipid and visceral fat parameters, represents a superior new predictive tool for cardiovascular and metabolic disorders, but its predictive value for gallstones (GS) is unclear. Therefore, the present study used this vacancy to explore the relationship between CMI levels and GS in US adults, assess the mediating role of diabetes mellitus in the pathogenesis of both, and provide new clinical ideas for early prevention and screening of GS in patients with diabetes mellitus. This survey extracted information from the National Health and Nutrition Examination Survey (NHANES) 2017-2020 vintage cycle. Cross-sectional analyses and a variety of statistical techniques were used to analyze the correlation between CMI and GS, including logistic regression, propensity score matching, subject work curves, and restricted cubic spline (RCS). Furthermore, mediation analysis was used to investigate whether and to what extent diabetes mediated the effect of CMI on GS. After analysis of 3,395 participants, a significant positive correlation was observed between elevated CMI levels and increased prevalence of GS In the fully corrected model (Model 4), the prevalence of GS exhibited a 23% increase for every incremental unit rise in logarithmically transformed CM. Mediation analysis showed that diabetes largely mediated the association between CMI and GS, with a mediation ratio of 15.1%. Higher CMI levels are closely linked to a greater occurrence of GS, and diabetes plays a key mediating role in the pathogenesis of both. Addressing dyslipidemia while not neglecting blood glucose levels, and co-management of the two may be a proven way to reduce GS risk.
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