Evidence map›Paper›PMID 41239209›Full record

ArticleBMC cardiovascular disorders2025

Association between 10-year atherosclerotic cardiovascular disease risk score and incident cardiovascular events across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from the China health and retirement longitudinal study (CHARLS).

Zhitong Li, Wenxia Ren, Xuhui Li, Ruixue Duan, Linlin Gao, Jiaojiao Li, Yajing Bai, Yuanyuan Yan, Angxian Lü, Anqi Zhao and 1 more

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
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  3. Review
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

11 authors.

Zhitong Li *Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Wenxia Ren *Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Xuhui Li *School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, China.
Ruixue DuanShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Linlin GaoShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Jiaojiao LiShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Yajing BaiShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Yuanyuan YanShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Angxian LüShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Anqi ZhaoShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Shiwei LiuShanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China. liushiwei@sxbqeh.com.cn.

Funding

Collaborative Traditional Chinese and Modern Medicine for Chronic Disease Management Research Project CXZH2024085hanxi Province Metabolic Disease (Type 1 Diabetes) Clinical Medical Research Center 20240410501001Shanxi Province Basic Research Program 202303021212330Shanxi Province Key Laboratory of Endocrine and Metabolic Diseases 202404010920011Shanxi Province Research Funding for Returned Overseas Scholars 2024-143Shanxi Province Science and Technology Achievements Transformation Guidance Special Fund 202304021301066Shanxi Province Science and Technology Innovation Talent Team Special Plan 202204051002029
6 · The paper itself

Abstract

backgroundThe cardiovascular-kidney-metabolic (CKM) syndrome framework integrates cardiometabolic risks. However, longitudinal evidence on the association between atherosclerotic cardiovascular disease 10-year risk (ASCVD10 year) scores and cardiovascular events across CKM syndrome stages remains limited in large aging populations.

methodsWe analyzed data from 4,565 adults aged ≥ 45 years in the China Health and Retirement Longitudinal Study (CHARLS). ASCVD10 year scores were calculated using the China-PAR model at baseline (2012) and follow-up (2015), with cumulative risk scores derived accordingly. Participants were stratified into four trajectory clusters via k-means clustering based on ASCVD score dynamics. Logistic regression, restricted cubic spline models, subgroup analysis, and mediation analyses were conducted to assess associations and underlying pathways.

resultsHigher baseline and cumulative ASCVD10 year scores were significantly associated with increased risks of cardiovascular disease (CVD), heart disease, and stroke across CKM stages 0-3 (all P < 0.0001). Compared to the low-risk cluster, the highest-risk cluster exhibited a > 4-fold increased CVD risk (OR = 4.12, 95% CI: 2.81-6.02). Nonlinear associations were observed for CVD and heart disease, with inflection points indicating stronger effects at lower ASCVD ranges. Subgroup analyses revealed stronger associations in individuals ≤ 65 years, females, and those with hypertension or diabetes. Mediation analyses identified HbA1c, fasting glucose, and the TyG index as partial mediators, accounting for 3-6% of the total effect.

conclusionsASCVD10 year scores, particularly cumulative exposure, are robust predictors of cardiovascular events across early CKM stages in middle-aged and older adults. These findings support the utility of longitudinal ASCVD10 year scores in preventive cardiometabolic strategies.

Indexed as

AtherosclerosisKidney DiseasesMetabolic SyndromeAgedAge FactorsChinaFemaleHeart Disease Risk FactorsHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentRisk Factors10-year atherosclerotic cardiovascular disease risk scoreCardiovascular diseaseCardiovascular–kidney–metabolic syndromeCHARLSChina-PAR

Identifiers

PMID41239209
PMCPMC12619338

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LicenceCC BY-NC-ND
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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.