Evidence map›Paper›PMID 42415403›Full record

ArticleCardiovascular therapeutics2026

Joint Association of Cholesterol, High-Density Lipoprotein and Glucose Index, and Circadian Syndrome With Incidence of Cardiovascular Disease: Results From National Longitudinal Prospective Studies.

Shenghao Jiang

Abstract read
In one paragraph

Article in Cardiovascular therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

1 author.

Shenghao JiangSchool of Clinical Medicine, Faculty of Medicine & Health, UNSW Sydney, New South Wales, Australia, unsw.edu.au.ORCID https://orcid.org/0000-0003-1072-9009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cholesterol, high-density lipoprotein, and glucose (CHG) index and circadian syndrome (CircS) are potential contributors for cardiovascular disease (CVD). This study evaluated their independent, combined associations, and interactions with CVD risk.

methodsThe study included participants aged ≥ 45 years without baseline CVD. Participants were classified according to the median or quartile levels of the CHG index and the binary status of CircS. Univariate and multivariate Cox regression models, along with Fine-Gray competing risk models assessed individual and joint effects. Both additive and multiplicative interactions were evaluated. Restricted cubic spline (RCS) analyses were conducted to visualize the dose-response relationship between the CHG index and CVD risk. Receiver operating characteristic (ROC) curve analyses assessed the predictive performance with the SCORE2 Asia-Pacific model for CVD at multiple time points.

resultsAmong 6739 eligible participants, 1420 (21.1%) participants developed CVD during follow-up. Both higher CHG index and CircS were independently associated with increased CVD risk. Compared with low CHG index and no CircS, participants with high CHG index and CircS had higher CVD risk (hazard ratio (HR)): 1.67, 95% confidence interval (CI): 1.46-1.90). No significant additive or multiplicative interactions were observed, but the significant ones were identified in external validation ELSA cohort. Integrating CHG index and CircS modestly improved SCORE2 Asia-Pacific model predictions, especially for 5-, 7-, and 9-year long-term CVD risk.

conclusionsElevated CHG index and CircS independently associated with a higher risk of CVD. Significant interactions were identified, incorporating them into the SCORE2 Asia-Pacific model modestly enhances long-term CVD risk prediction. These readily measurable markers may therefore be applied to earlier identify high-risk individuals, enabling more targeted CVD prevention strategies and optimize risk management in clinical practice.

Indexed as

Blood GlucoseCardiovascular DiseasesCholesterolCircadian RhythmAgedBiomarkersFemaleHeart Disease Risk FactorsHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentBiomarkersBlood GlucoseCholesterolCHARLSCHGCircSCVDprospective cohortS

Identifiers

PMID42415403
PMCPMC13341945

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.