Evidence map›Paper›PMID 42921540›Full record

ArticleGlobal heart2026

Association Between the Chinese Visceral Adiposity Index-Frailty Index (CVAI-FI) and the Incidence of New-Onset Stroke in Individuals with Cardiovascular-Kidney-Metabolic Syndrome Stage 0-3: Evidence From a National Population-Based Study.

Enfa Zhao, Hang Xie, Bingtian Dong, Chaoxue Zhang

Abstract readMulticenter Study
In one paragraph

Article in Global heart, 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.

Enfa ZhaoDepartment of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.ORCID https://orcid.org/0000-0002-8028-2997
Hang XieDepartment of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.ORCID https://orcid.org/0000-0001-8183-6130
Bingtian DongDepartment of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.ORCID https://orcid.org/0000-0003-0268-4445
Chaoxue ZhangDepartment of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.ORCID https://orcid.org/0000-0002-3037-8819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cardiovascular-Kidney-Metabolic (CKM) syndrome represents a multisystem disorder linking metabolic dysfunction with cardiovascular complications. While the Chinese Visceral Adiposity Index (CVAI) and Frailty Index (FI) independently predict adverse outcomes, their combined utility for stroke prediction across CKM syndrome stages 0-3 remains unexplored. Methods: We analyzed 6,772 participants aged ≥45 years from the China Health and Retirement Longitudinal Study (2011-2020). Participants were classified into CKM stages 0-3, excluding stage 4 or baseline stroke. CVAI was calculated using age, BMI, waist circumference, triglycerides, and HDL-C. FI incorporated 32 health deficits following standardized methodology. The CVAI-FI index was derived as the product of CVAI and FI. Cumulative exposure was assessed in 4,170 participants with measurements from Waves 1 (2011) and 3 (2015). Multivariable logistic regression evaluated associations with incident stroke, adjusting for sociodemographic, behavioral, and clinical confounders. Model performance was assessed using ROC curves, with incremental value determined through NRI and IDI. Restricted cubic splines characterized dose-response relationships. Results: During follow-up, 447 participants (6.6%) developed stroke. CVAI-FI demonstrated a significant dose-response association with stroke risk ( Conclusions: The CVAI-FI index provides enhanced stroke risk stratification across CKM syndrome stages 0-3, with quantifiable improvements in discrimination and reclassification. Cumulative exposure assessment further strengthens predictive accuracy. These findings support CVAI-FI's clinical utility for identifying high-risk individuals requiring intensified preventive interventions within emerging CKM syndrome frameworks.

Indexed as

AdiposityCardiovascular DiseasesIntra-Abdominal FatKidney DiseasesMetabolic SyndromeObesity, AbdominalStrokeAgedChinaEast Asian PeopleFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedCardiovascular-Kidney-Metabolic syndromeCHARLSChinese visceral adiposity indexCumulative exposureFrailty indexStroke

Identifiers

PMID42921540
PMCPMC13693587

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.