Evidence map›Paper›PMID 41283206›Full record

ArticleJournal of the American Heart Association2025

Risk of Coronary Artery Disease Associated With Transitions in Metabolic Health in a Clinical Cohort of 69 272.

Megan M Shuey, Rebecca T Levinson, Megan E Vogel, Eric Farber-Eger, Shi Huang, Frank E Harrel, Alyssa H Hasty, Jonathan D Brown, Heidi J Silver, John R Koethe and 5 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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
  2. Article
  3. 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

15 authors.

Megan M ShueyDivision of Genetic Medicine and Clinical Pharmacology Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0003-2866-3562
Rebecca T LevinsonDivision of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0002-2775-7543
Megan E VogelDivision of Diabetes, Endocrinology, & Metabolism Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0002-1950-6699
Eric Farber-EgerDivision of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0003-0281-3796
Shi HuangDepartment of Biostatistics Vanderbilt University Nashville TN USA.
Frank E HarrelDepartment of Biostatistics Vanderbilt University Nashville TN USA.ORCID 0000-0002-8271-5493
Alyssa H HastyDepartment of Molecular Physiology and Biophysics Vanderbilt University Nashville TN USA.ORCID 0000-0001-7302-8045
Jonathan D BrownDivision of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0002-0359-6167
Heidi J SilverDivision of Gastroenterology, Hepatology, and Nutrition Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0003-2237-4903
John R KoetheDivision of Infectious Diseases Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0001-6490-6942
Joshua A BeckmanDivision of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0001-8332-8439
Nancy J BrownDivision of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0001-7109-3142
Kevin D NiswenderDivision of Diabetes, Endocrinology, & Metabolism Vanderbilt University Medical Center Nashville TN USA.
Nancy J CoxDivision of Genetic Medicine and Clinical Pharmacology Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0001-9315-0830
Quinn S WellsDivision of Genetic Medicine and Clinical Pharmacology Vanderbilt University Medical Center Nashville TN USA.ORCID 0000-0003-3899-0313

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Building Interdisciplinary Research Careers in Women's HealthK12HD043483 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARTMANN, KATHERINE E, MAJOR, AMY S · 2002 to 2023
$10.3M
Genomic and Phenomic Architecture of Heart FailureR01HL140074 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WELLS, QUINN STANTON · 2018 to 2022
$2.0M
Automated Storage and Retrieval of Biological SystemsS10RR025141 · NCRR · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2008 to 2008
$988k
BLRD VA I01 BX002195NCATS NIH HHS UL1 TR000445NCRR NIH HHS S10 RR025141NHLBI NIH HHS R01 HL140074NICHD NIH HHS K12 HD043483
6 · The paper itself

Abstract

backgroundThe effect of recent onset metabolic dysfunction on coronary artery disease (CAD) risk is poorly understood. We developed a large data set linking metabolic phenotypes and clinical outcomes to quantify CAD risks associated with adverse metabolic transition.

methodsClinical parameters, measures of metabolic dysfunction components (diabetes, hypertension, elevated triglycerides, and low high-density lipoprotein) and incident CAD were curated in a clinical cohort from a single quaternary medical center. Associations between body weight, metabolic abnormalities, and changes in metabolic health status were assessed for prevalent and incident CAD.

resultsIncreasing body mass index category, presence of metabolic dysfunction (>2 components), and number of metabolic abnormalities were associated with prevalent CAD among 844 841 individuals. In time-to-event analyses (N=69 272), ~38% of subjects initially free of any metabolic dysfunction abnormality developed ≥1 abnormality over a 3-year run-in period. All metabolic abnormalities, whether new-onset or preexisting, significantly increased 10-year CAD event probability, and there was a progressive increase in 10-year CAD risk with increasing burden of metabolic abnormalities. In models adjusting for metabolic dysfunction, 10-year CAD risk increased for individuals with body mass index >25 kg/m

conclusionsIn a large clinical cohort, the transition to metabolic dysfunction is common, occurs rapidly, and significantly increases incident CAD risk. The effect of body weight and weight loss on CAD risk is nonlinear. Interventions to prevent progression to metabolic dysfunction are needed.

Indexed as

Coronary Artery DiseaseMetabolic SyndromeAgedBody Mass IndexFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk AssessmentRisk FactorsTime Factorscoronary artery diseaseelectronic health recordsmetabolic syndromemetabolic transitionrisk

Identifiers

PMID41283206
PMCPMC12748521

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.