Evidence map›Paper›PMID 26449133›Full record

ArticleJournal of the American College of Cardiology2015

10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study).

Robyn L McClelland, Neal W Jorgensen, Matthew Budoff, Michael J Blaha, Wendy S Post, Richard A Kronmal, Diane E Bild, Steven Shea, Kiang Liu, Karol E Watson and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05392491 (The Brazilian Coronary Disease Cohort), which is not on this map. Cited by 337 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
337citing papers in PubMed, 5 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.

NCT05392491 completednot on this mapstarted 2022, after this paper: background citation

The Brazilian Coronary Disease Cohort

TypeobservationalSponsorUniversity of Sao Paulo General HospitalRan2022 to 2024Enrolled4,004ConditionsCoronary Artery DiseaseArmsNo intervention
3 · Its place in the literature

Who cites it

337 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
  6. Trial
  7. Trial
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  14. Uric acid and subclinical atherosclerosis: distinct associations across coronary and carotid arteries.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
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  18. Review
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277 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Robyn L McClellandDepartment of Biostatistics, University of Washington, Seattle, Washington. Electronic address: rmcclell@u.washington.edu.
Neal W JorgensenDepartment of Biostatistics, University of Washington, Seattle, Washington.
Matthew BudoffDivision of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, California.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland.
Wendy S PostJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland.
Richard A KronmalDepartment of Biostatistics, University of Washington, Seattle, Washington.
Diane E BildPatient-Centered Outcomes Research Institute, Washington, DC.
Steven SheaDepartments of Medicine and Epidemiology, Columbia University, New York, New York.
Kiang LiuDepartment of Preventive Medicine, Northwestern University Medical School, Chicago, Illinois.
Karol E WatsonDivision of Cardiology, UCLA School of Medicine, Los Angeles, California.
Aaron R FolsomDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota.
Amit KheraDivision of Cardiology, UT Southwestern Medical Center, Dallas, Texas.
Colby AyersDivision of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas.
Amir-Abbas MahabadiUniversity Clinic Essen, Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Essen, Germany.
Nils LehmannInstitute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany.
Karl-Heinz JöckelInstitute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany.
Susanne MoebusInstitute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany.
J Jeffrey CarrDepartment of Radiology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Raimund ErbelUniversity Clinic Essen, Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Essen, Germany.
Gregory L BurkeDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
Longitudinal Methods for Cardiovascular Disease ResearchR01HL103729 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2011 to 2013
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1-TR-000040NCATS NIH HHS UL1 TR 001079NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001105NCATS NIH HHS UL1TR001105NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1-RR-025005NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95166NHLBI NIH HHS N01-HC-95167NHLBI NIH HHS N01-HC-95168NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS R01 HL103729NHLBI NIH HHS R01 HL 103729-01A1
6 · The paper itself

Abstract

backgroundSeveral studies have demonstrated the tremendous potential of using coronary artery calcium (CAC) in addition to traditional risk factors for coronary heart disease (CHD) risk prediction. However, to date, no risk score incorporating CAC has been developed.

objectivesThe goal of this study was to derive and validate a novel risk score to estimate 10-year CHD risk using CAC and traditional risk factors.

methodsAlgorithm development was conducted in the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective community-based cohort study of 6,814 participants age 45 to 84 years, who were free of clinical heart disease at baseline and followed for 10 years. MESA is sex balanced and included 39% non-Hispanic whites, 12% Chinese Americans, 28% African Americans, and 22% Hispanic Americans. External validation was conducted in the HNR (Heinz Nixdorf Recall Study) and the DHS (Dallas Heart Study).

resultsInclusion of CAC in the MESA risk score offered significant improvements in risk prediction (C-statistic 0.80 vs. 0.75; p < 0.0001). External validation in both the HNR and DHS studies provided evidence of very good discrimination and calibration. Harrell's C-statistic was 0.779 in HNR and 0.816 in DHS. Additionally, the difference in estimated 10-year risk between events and nonevents was approximately 8% to 9%, indicating excellent discrimination. Mean calibration, or calibration-in-the-large, was excellent for both studies, with average predicted 10-year risk within one-half of a percent of the observed event rate.

conclusionsAn accurate estimate of 10-year CHD risk can be obtained using traditional risk factors and CAC. The MESA risk score, which is available online on the MESA web site for easy use, can be used to aid clinicians when communicating risk to patients and when determining risk-based treatment strategies.

Indexed as

EthnicityRisk AssessmentAgedAged, 80 and overAtherosclerosisCalcinosisCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesReproducibility of Resultsatherosclerosiscoronary diseaseepidemiologyrisk prediction

Identifiers

PMID26449133
PMCPMC4603537

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Registered trials

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.