Evidence map›Paper›PMID 42260865›Full record

ArticleMedicine2026

The role of visceral obesity surrogate markers in predicting cardiovascular disease: Insights from the CHARLS study.

Pingan Guo, Yuan Liu, Guozhu Chen, Yin Jiang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pingan GuoThe First People's Hospital of Fuyang District, Hangzhou, Zhejiang, China.
Yuan Liu
Guozhu Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) has been a major cause of morbidity and mortality in the world, accounting for approximately one-third of all deaths worldwide. Early detection of risk factors and effective preventive measures are crucial for reducing the impact of cardiovascular and cerebrovascular diseases on public health. We conducted a retrospective analysis of data from the China Health and Retirement Longitudinal Study between 2011 and 2018. Logistic regression and restricted cubic spline modeling were used for analysis. Moreover, the area under the receiver operating characteristic curve (AUC) and its 95% confidence interval (CI) was calculated to assess the predictive power of Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), metabolic score for visceral fat (METS-VF), triglyceride-glucose (TyG), and triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) for risk of CVD. CVAI and METS-VF were significantly associated with CVD risk, with odds ratios calculated per 1 standard deviation (CVAI: odds ratio [OR] = 1.16, 95% CI 1.05-1.29; METS-VF: OR = 1.11, 95% CI 1.01-1.23). LAP (Q3: OR = 1.39, 95% CI 1.11-1.73) and TG/HDL-C ratio (Q3: OR = 1.31, 95% CI 1.08-1.59) showed significant associations with increased CVD risk. For discrimination, CVAI showed the highest AUC values, 0.5767 (0.5560-0.5974) for HD, 0.6123 (0.5873-0.6373) for stroke, 0.5910 (0.5726-0.6093) for CVD, respectively. CVAI and METS-VF were positively associated with CVD risk and showed slightly better discrimination than other adiposity-related indices. These findings suggest that visceral adiposity and dyslipidemia remain important correlates of cardiovascular and cerebrovascular risk and may inform prevention strategies when considered alongside established risk factors.

Indexed as

Cardiovascular DiseasesObesity, AbdominalAgedBiomarkersChinaCholesterol, HDLFemaleHumansIntra-Abdominal FatLongitudinal StudiesMaleMiddle AgedRetrospective StudiesRisk FactorsTriglyceridesBiomarkersCholesterol, HDLTriglyceridescardiovascular diseaseCHARLSChinese Visceral Adiposity Indexmetabolic score for visceral fatvisceral adiposity

Identifiers

PMID42260865
PMCPMC13246062

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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.