Evidence map›Paper›PMID 32698652›Full record

ArticleJournal of the American Heart Association2020

Combining Biomarkers and Imaging for Short-Term Assessment of Cardiovascular Disease Risk in Apparently Healthy Adults.

Maria Odette Gore, Colby R Ayers, Amit Khera, Christopher R deFilippi, Thomas J Wang, Stephen L Seliger, Vijay Nambi, Elizabeth Selvin, Jarett D Berry, W Gregory Hundley and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Plasma proteomics improves prediction of coronary plaque progression.European heart journal. Cardiovascular Imaging · 2025
    Article
  7. Review
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  9. Article
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  13. Review
  14. Reply to Greaves et al.Journal of applied physiology (Bethesda, Md. : 1985) · 2020
    Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 1 country.

Maria Odette GoreDepartment of Medicine University of Colorado Anschutz Medical Campus Aurora CO.
Colby R AyersDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
Amit KheraDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
Christopher R deFilippiInova Heart and Vascular Institute Fall Church VA.
Thomas J WangDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
Stephen L SeligerDepartment of Medicine University of Maryland School of Medicine Baltimore MD.
Vijay NambiDepartment of Medicine Baylor College of Medicine Houston TX.
Elizabeth SelvinDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Jarett D BerryDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
W Gregory HundleyDepartments of Medicine and Radiological Sciences Wake Forest Health Sciences Winston-Salem NC.
Matthew BudoffLos Angeles Biomedical Research Institute Los Angeles CA.
Philip GreenlandDepartment of Preventive Medicine Feinberg School of Medicine, Northwestern University Chicago IL.
Mark H DraznerDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
Christie M BallantyneDepartment of Medicine Baylor College of Medicine Houston TX.
Benjamin D LevineDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
James A de LemosDepartment of Medicine University of Texas Southwestern Medical Center Dallas TX.
The University of Texas Southwestern Medical Center · USHouston Methodist · USAlaska Heart and Vascular Institute · USDenver Health Medical Center · USJohns Hopkins University · USNorthwestern University · USThe Lundquist Institute · USUniversity of Maryland, Baltimore · USWake Forest University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
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
Targeting skeletal muscle to improve exercise capacity in heart failure with preserved ejection fraction.P01HL137630 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI BABB, TONY G · 2019 to 2023
$11.4M
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
Ventricular Size and Valve Calcification Measures by CTR01HL071739 · NHLBI · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI BUDOFF, MATTHEW J · 2003 to 2010
$2.0M
Cardiovascular disease prevention in the community: The role of risk factorscreening and targeted health intervention in blood donorsK23HL131939 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI GORE, MARIA ODETTE · 2016 to 2020
$810k
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
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001105NCATS NIH HHS UL1 TR001420NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K23 HL131939NHLBI NIH HHS K24 HL152440NHLBI 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 P01 HL137630NHLBI NIH HHS R01 HL071739NHLBI NIH HHS R01 HL134320NIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

Background Current strategies for cardiovascular disease (CVD) risk assessment focus on 10-year or longer timeframes. Shorter-term CVD risk is also clinically relevant, particularly for high-risk occupations, but is under-investigated. Methods and Results We pooled data from participants in the ARIC (Atherosclerosis Risk in Communities study), MESA (Multi-Ethnic Study of Atherosclerosis), and DHS (Dallas Heart Study), free from CVD at baseline (N=16 581). Measurements included N-terminal pro-B-type natriuretic peptide (>100 pg/mL prospectively defined as abnormal); high-sensitivity cardiac troponin T (abnormal >5 ng/L); high-sensitivity C-reactive protein (abnormal >3 mg/L); left ventricular hypertrophy by ECG (abnormal if present); carotid intima-media thickness, and plaque (abnormal >75th percentile for age and sex or presence of plaque); and coronary artery calcium (abnormal >10 Agatston U). Each abnormal test result except left ventricular hypertrophy by ECG was independently associated with increased 3-year risk of global CVD (myocardial infarction, stroke, coronary revascularization, incident heart failure, or atrial fibrillation), even after adjustment for traditional CVD risk factors and the other test results. When a simple integer score counting the number of abnormal tests was used, 3-year multivariable-adjusted global CVD risk was increased among participants with integer scores of 1, 2, 3, and 4, by ≈2-, 3-, 4.5- and 8-fold, respectively, when compared with those with a score of 0. Qualitatively similar results were obtained for atherosclerotic CVD (fatal or non-fatal myocardial infarction or stroke). Conclusions A strategy incorporating multiple biomarkers and atherosclerosis imaging improved assessment of 3-year global and atherosclerotic CVD risk compared with a standard approach using traditional risk factors.

Indexed as

AgedAged, 80 and overBiomarkersCardiovascular DiseasesCarotid Intima-Media ThicknessC-Reactive ProteinElectrocardiographyFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsRisk AssessmentRisk FactorsTroponin TBiomarkersC-Reactive ProteinNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)TNNT2 protein, humanTroponin Tcarotid intima‐media thicknesscoronary artery calciumhigh‐sensitivity cardiac troponin Thigh‐sensitivity C‐reactive proteinN‐terminal pro B‐type natriuretic peptideplaque

Identifiers

PMID32698652
PMCPMC7792258
OpenAlexW3045107179

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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 OpenQuestion graph.