Evidence map›Paper›PMID 40026154›Full record

ArticleCirculation. Cardiovascular imaging2025

Race- and Sex-Specific Age at Which Coronary Artery Calcium Becomes Detectable Among Young Adults.

Yvette A Yeboah-Kordieh, Ellen Boakye, Albert D Osei, Omar Dzaye, Zeina A Dardari, Joao A C Lima, Alan Rozanski, Daniel S Berman, Matthew J Budoff, Michael D Miedema and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Circulation. Cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Coronary artery calcification in type 1 diabetes after 10-year ketogenic diet.Journal of applied physiology (Bethesda, Md. : 1985) · 2025
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Yvette A Yeboah-KordiehDepartment of Internal Medicine, MedStar Health, Baltimore, MD (Y.A.Y.-K., A.D.O.).ORCID 0009-0004-6234-1983
Ellen BoakyeJohns Hopkins Ciccarone Center for Prevention of Heart Disease, Baltimore, MD (E.B., O.D., Z.D., M.J.B.).ORCID 0000-0002-7625-9487
Albert D OseiDepartment of Internal Medicine, MedStar Health, Baltimore, MD (Y.A.Y.-K., A.D.O.).ORCID 0000-0002-3901-0471
Omar DzayeJohns Hopkins Ciccarone Center for Prevention of Heart Disease, Baltimore, MD (E.B., O.D., Z.D., M.J.B.).ORCID 0000-0001-9483-3510
Zeina A DardariJohns Hopkins Ciccarone Center for Prevention of Heart Disease, Baltimore, MD (E.B., O.D., Z.D., M.J.B.).
Joao A C LimaDivision of Cardiology, Johns Hopkins Hospital and School of Medicine, Baltimore, MD (J.A.C.L.).ORCID 0000-0001-8756-6995
Alan RozanskiDepartment of Medicine, Mount Sinai, New York, NY (A.R.).
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA (D.S.B.).ORCID 0000-0002-3793-9578
Matthew J BudoffJohns Hopkins Ciccarone Center for Prevention of Heart Disease, Baltimore, MD (E.B., O.D., Z.D., M.J.B.).ORCID 0000-0002-9616-1946
Michael D MiedemaMinneapolis Heart Institute Foundation, MN (M.M.).
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist Hospital, TX (K.N.).ORCID 0000-0001-5376-2269
John A RumbergerCorazon Imaging, Southfield, MI (J.R.).ORCID 0000-0001-5018-2832
Leslee J ShawDepartment of Radiology, Weill Cornell Medical College, New York, NY (L.S.).ORCID 0000-0003-1268-1491
David R JacobsDivision of Epidemiology, School of Public Health, University of Minnesota, Minneapolis (D.R.J.).ORCID 0000-0002-7232-0543
Michael J BlahaDepartment of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance (M.B.).ORCID 0000-0001-5138-9683

Funding

NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS L30 HL110027
6 · The paper itself

Abstract

backgroundCoronary artery calcium (CAC) is an excellent predictor of atherosclerotic cardiovascular disease (ASCVD) risk. Limited data exist on the age at which CAC transitions to nonzero among young adults. We aimed to assess the prevalence of CAC by the number of ASCVD risk factors and use this data to model the race- and sex-specific ages at which young adults transition to a CAC >0.

methodsWe included 17 285 participants aged 30 to 50 years from the CAC Consortium and the CARDIA (Coronary Artery Risk Development in Young Adults) study in this cross-sectional study. We estimated the burden of CAC by the number of ASCVD risk factors and used sex- and race-specific multivariable logistic regression models to predict the probability of CAC >0. From these, we estimated the age at CAC conversion from zero, using a minimum testing yield of 25%.

resultsOf the 17 285 participants included in this study (mean age, 43.3±4.7years, 66.9% men, and 87.5% White), 30.1% had CAC >0. The probability of CAC >0 at each specified age and risk factor profile was higher among men than women and White compared with Black individuals. With 2 ASCVD risk factors, the estimated age at which CAC became detectable was 36.1 (35.1-36.9) years for White men, 41.9 (40.6-43.2) years for Black men, 47.6 (46.3-48.9) years for White women, and 51.6 (48.2-54.5) years for Black women.

conclusionsThe age at which CAC becomes detectable in young adults varies substantially by race, sex, and the number of ASCVD risk factors. Earlier initiation of CAC scans may be indicated in select subgroups at greater risk of premature atherosclerosis.

Indexed as

Coronary AngiographyCoronary Artery DiseaseCoronary VesselsVascular CalcificationAdultAge FactorsBlack or African AmericanComputed Tomography AngiographyCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalenceRace Factorsatherosclerosiscoronary artery diseasemyocardial infarctionnutrition surveysyoung adult

Identifiers

PMID40026154
PMCPMC11919561

What OpenQuestion holds

Textmetadata
LicenceTDM
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.