ArticleScientific reports2025
Association between changes in Chinese visceral adiposity index and cardiovascular disease among middle-aged and older Chinese adults.
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 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- Composite metabolic biomarkers for cardiovascular risk assessment in CKM syndrome.Cardiovascular diabetology · 2026Article
- Article
- Comparative associations and incremental predictive value of cardiometabolic and inflammatory indices for short- to mid-term cardiovascular disease risk in two Chinese cohorts.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies have established visceral adiposity as a risk factor for cardiovascular disease (CVD), but the relationship between longitudinal changes in Chinese Visceral Adiposity Index (CVAI) and CVD risk has not been thoroughly investigated. This study aimed to investigate the longitudinal association between CVAI changes and CVD risk in Chinese middle-aged and older adults. A total of 3,805 CVD-free participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study (CHARLS) were followed from 2015 until 2020 (median follow-up: 4.9 years) to detect incident CVD. Participants were categorized based on CVAI changes using K-means clustering. During follow-up, 375 participants (9.86%) developed CVD. Multivariable-adjusted Cox proportional hazards regression and restricted cubic spline regression models were used for data analysis. Compared with the low-increasing CVAI group, the hazard ratios (HR) were 1.25 (95% confidence interval [CI], 0.89 to 1.74) for moderate-increasing, 1.56 (95% CI, 1.09 to 2.24) for moderate high-increasing, and 1.87 (95% CI, 1.21 to 2.89) for high-increasing CVAI groups (P for trend = 0.002). Each standard deviation increase in cumulative CVAI was associated with a 20% increased CVD risk (HR 1.20, 95% CI, 1.06 to 1.37). The relationship was linear (P for nonlinearity = 0.998). Cumulative CVAI showed modest predictive performance (area under the curve 0.598), slightly better than body mass index, waist circumference, and Visceral Adiposity Index. These findings suggest CVAI changes may provide additional information for comprehensive CVD risk assessment, though further validation is needed given the modest predictive accuracy.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.