Evidence map›Paper›PMID 34649694›Full record

ArticleJournal of the American College of Cardiology2021

Modeling the Recommended Age for Initiating Coronary Artery Calcium Testing Among At-Risk Young Adults.

Omar Dzaye, Alexander C Razavi, Zeina A Dardari, Leslee J Shaw, Daniel S Berman, Matthew J Budoff, Michael D Miedema, Khurram Nasir, Alan Rozanski, John A Rumberger and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American College of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

37 citing papers in PubMed, 60 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 12 institutions in 2 countries.

Omar DzayeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: odzaye@jhmi.edu.
Alexander C RazaviJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Zeina A DardariJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Leslee J ShawDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Matthew J BudoffLundquist Institute, Harbor-UCLA Medical Center, Torrance, California, USA.
Michael D MiedemaMinneapolis Heart Institute and Foundation, Minneapolis, Minnesota, USA.
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
Alan RozanskiDivision of Cardiology, Mount Sinai, St Luke's Hospital, New York, New York, USA.
John A RumbergerDepartment of Cardiac Imaging, Princeton Longevity Center, Princeton, New Jersey, USA.
Carl E OrringerCardiovascular Division, University of Miami, Miller School of Medicine, Miami, Florida, USA.
Sidney C SmithDivision of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Ron BlanksteinCardiovascular Imaging Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Martin Bødtker MortensenJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USCedars-Sinai Medical Center · USCornell University · USEmory University · USHarbor–UCLA Medical Center · USHarvard University · USHouston Methodist · USMinneapolis Heart Institute Foundation · USPrinceton University · USSt. Luke's Hospital · USUniversity of Miami · USUniversity of North Carolina at Chapel Hill · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
NHLBI NIH HHS L30 HL110027NHLBI NIH HHS T32 HL007227
6 · The paper itself

Abstract

backgroundThere are currently no recommendations guiding when best to perform coronary artery calcium (CAC) scanning among young adults to identify those susceptible for developing premature atherosclerosis.

objectivesThe purpose of this study was to determine the ideal age at which a first CAC scan has the highest utility according to atherosclerotic cardiovascular disease (ASCVD) risk factor profile.

methodsWe included 22,346 CAC Consortium participants aged 30-50 years who underwent noncontrast computed tomography. Sex-specific equations were derived from multivariable logistic modeling to estimate the expected probability of CAC >0 according to age and the presence of ASCVD risk factors.

resultsParticipants were on average 43.5 years of age, 25% were women, and 34% had CAC >0, in whom the median CAC score was 20. Compared with individuals without risk factors, those with diabetes developed CAC 6.4 years earlier on average, whereas smoking, hypertension, dyslipidemia, and a family history of coronary heart disease were individually associated with developing CAC 3.3-4.3 years earlier. Using a testing yield of 25% for detecting CAC >0, the optimal age for a potential first scan would be at 36.8 years (95% CI: 35.5-38.4 years) in men and 50.3 years (95% CI: 48.7-52.1 years) in women with diabetes, and 42.3 years (95% CI: 41.0-43.9 years) in men and 57.6 years (95% CI: 56.0-59.5 years) in women without risk factors.

conclusionsOur derived risk equations among health-seeking young adults enriched in ASCVD risk factors inform the expected prevalence of CAC >0 and can be used to determine an appropriate age to initiate clinical CAC testing to identify individuals most susceptible for early/premature atherosclerosis.

Indexed as

Models, CardiovascularRisk AssessmentAdultCohort StudiesComputed Tomography AngiographyCoronary Artery DiseaseDisease SusceptibilityFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsVascular Calcificationcardiovascular diseasescoronary artery calciummultidetector computed tomographypremature atherosclerosisyoung adults

Identifiers

PMID34649694
PMCPMC9074911
OpenAlexW3206063371

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.