Evidence map›Paper›PMID 41476290›Full record

ArticleCardiovascular diabetology2025

Association between combined atherogenic and frailty index and cardiovascular events: evidence from the CHARLS cohort.

Guijun Huo, Yan Chen, Yao Tang, Dayong Zhou

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Guijun Huo *The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Yan Chen *The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Yao TangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China. tyty4803@163.com.
Dayong ZhouThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China. zhoudy@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe atherogenic index of plasma (AIP) is a marker of atherosclerosis, while frailty reflects cumulative physiological decline. However, the combined impact of AIP-frailty index (AIP-FI) has not been adequately explored. This study aimed to investigate the association between AIP-FI and the risk of cardiovascular disease (CVD), stroke, and heart disease.

methodsThis prospective cohort study included 6896 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study (CHARLS) without CVD, stroke, or heart disease at baseline. The Cox proportional hazard models and restricted cubic spline (RCS) analysis were applied to explore the association between AIP-FI with the risk of CVD, stroke, and heart disease.

resultsDuring a median follow-up period of 9 years, 1648 (23.9%) of CVD events, 548 (7.9%) of stroke events, and 1280 (18.6%) of heart disease events were recorded. Cox regression analysis revealed that each 1-unit increment in the AIP-FI was significantly associated with higher risk of CVD (HR: 2.95, 95% CI 2.15, 4.05), stroke (HR: 3.14, 95% CI 1.88, 5.26), and heart disease (HR: 2.72, 95% CI 1.06, 1.89, 3.92). The RCS revealed a significant positive nonlinear relationship between AIP-FI with the risk of CVD, stroke, and heart disease (all P-overall < 0.05, and all P for non-linear < 0.05).

conclusionsOur study demonstrated that higher AIP-FI was significantly associated with increased risk of CVD, stroke, and heart disease. By integrating metabolic and frailty information, AIP-FI offers an effective and accessible tool for cardiovascular risk assessment, supporting earlier prevention and intervention strategies in the middle-aged and elderly Chinese populations.

Indexed as

AtherosclerosisCardiovascular DiseasesFrail ElderlyFrailtyHeart DiseasesStrokeAgedAge FactorsBiomarkersChinaFemaleGeriatric AssessmentHeart Disease Risk FactorsHumansIncidenceLongitudinal StudiesBiomarkersAtherogenic index of plasmaCardiovascular diseaseCHARLSFrailty indexHeart diseaseStroke

Identifiers

PMID41476290
PMCPMC12866392

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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.