ArticleReviews in cardiovascular medicine2025
The Association Between Body Roundness Index and Cardiovascular Disease Risk: An Analysis Based on the CHARLS Database.
Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Obesity as a risk factor for multimorbidity: a 23-years population-based prospective study.Journal of multimorbidity and comorbidityArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The body roundness index (BRI) offers a more precise evaluation of body fat and visceral fat levels. However, studies on the relationship between BRI and the risk of cardiovascular disease (CVD) remain limited. Methods: Survival differences across BRI quartiles were estimated using Kaplan-Meier analysis. The association between the BRI and the risk of CVD was examined through Cox proportional hazards and restricted cubic spline (RCS) models. Additional subgroup and sensitivity analyses were also conducted. Results: This study included 6401 patients (47.43% male), with an incidence of CVD of 17.51%. Kaplan-Meier survival analysis revealed statistically significant differences between groups based on the assigned BRI quartiles. Cox models revealed a strong association between the BRI and CVD risk, while RCS models showed a non-linear link between higher BRIs and increased CVD risk. In certain subgroups, an elevated BRI was closely correlated with an increased incidence of CVD. Notable interactions were found between BRI and gender, age, hypertension, diabetes, alcohol consumption, and smoking status. Sensitivity analysis excluding early CVD cases yielded consistent results. Conclusion: A significant non-linear association was found between the BRI and CVD risk. The BRI could be a valuable and sensitive marker for identifying individuals at high risk of CVD, with varying predictive value across different population subgroups.
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