Evidence map›Paper›PMID 37219552›Full record

Observational studyJAMA2023

Coronary Artery Calcium Score and Polygenic Risk Score for the Prediction of Coronary Heart Disease Events.

Sadiya S Khan, Wendy S Post, Xiuqing Guo, Jingyi Tan, Fang Zhu, Daniel Bos, Bahar Sedaghati-Khayat, Jeroen van Rooij, Aaron Aday, Norrina B Allen and 8 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
30.1field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Sadiya S KhanDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Wendy S PostDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Jingyi TanThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Fang ZhuDepartment of Epidemiology Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Daniel BosDepartment of Epidemiology Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Bahar Sedaghati-KhayatDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Jeroen van RooijDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Aaron AdayVanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Norrina B AllenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Maxime M BosDepartment of Epidemiology Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
André G UitterlindenDepartment of Epidemiology Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Matthew J BudoffDepartment of Medicine, Lundquist Research Institute at Harbor-UCLA Medical Center, Torrance, California.
Donald M Lloyd-JonesDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Jonathan D MosleyVanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Philip GreenlandDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Maryam KavousiDepartment of Epidemiology Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Erasmus MC · NLNorthwestern University · USHarbor–UCLA Medical Center · USUCLA Medical Center · USVanderbilt University Medical Center · USJohns Hopkins University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALAN R. SALTIEL · 2003 to 2026
$40.4M
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
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Patterns of Cardiopulmonary health across the life courseR01HL159250 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHAN, SADIYA SANA · 2021 to 2025
$3.5M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095168 · HC · JOHNS HOPKINS UNIVERSITY · PI BLUEMKE, DAVID A. · 1999 to 2000
$375k
Risk-Based Primary Prevention of Heart FailureR21HL165376 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHAN, SADIYA SANA · 2022 to 2023
$255k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL159250NHLBI NIH HHS R21 HL165376NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

Importance: Coronary artery calcium score and polygenic risk score have each separately been proposed as novel markers to identify risk of coronary heart disease (CHD), but no prior studies have directly compared these markers in the same cohorts. Objective: To evaluate change in CHD risk prediction when a coronary artery calcium score, a polygenic risk score, or both are added to a traditional risk factor-based model. Design, Setting, and Participants: Two observational population-based studies involving individuals aged 45 years through 79 years of European ancestry and free of clinical CHD at baseline: the Multi-Ethnic Study of Atherosclerosis (MESA) study involved 1991 participants at 6 US centers and the Rotterdam Study (RS) involved 1217 in Rotterdam, the Netherlands. Exposure: Traditional risk factors were used to calculate CHD risk (eg, pooled cohort equations [PCEs]), computed tomography for the coronary artery calcium score, and genotyped samples for a validated polygenic risk score. Main Outcomes and Measures: Model discrimination, calibration, and net reclassification improvement (at the recommended risk threshold of 7.5%) for prediction of incident CHD events were assessed. Results: The median age was 61 years in MESA and 67 years in RS. Both log (coronary artery calcium+1) and polygenic risk score were significantly associated with 10-year risk of incident CHD (hazards ratio per SD, 2.60; 95% CI, 2.08-3.26 and 1.43; 95% CI, 1.20-1.71, respectively), in MESA. The C statistic for the coronary artery calcium score was 0.76 (95% CI, 0.71-0.79) and for the polygenic risk score, 0.69 (95% CI, 0.63-0.71). The change in the C statistic when each was added to the PCEs was 0.09 (95% CI, 0.06-0.13) for the coronary artery calcium score, 0.02 (95% CI, 0.00-0.04) for the polygenic risk score, and 0.10 (95% CI, 0.07-0.14) for both. Overall categorical net reclassification improvement was significant when the coronary artery calcium score (0.19; 95% CI, 0.06-0.28) but was not significant when the polygenic risk score (0.04; 95% CI, -0.05 to 0.10) was added to the PCEs. Calibration of the PCEs and models with coronary artery calcium and/or polygenic risk scores was adequate (all χ2<20). Subgroup analysis stratified by the median age demonstrated similar findings. Similar findings were observed for 10-year risk in RS and in longer-term follow-up in MESA (median, 16.0 years). Conclusions and Relevance: In 2 cohorts of middle-aged to older adults from the US and the Netherlands, the coronary artery calcium score had better discrimination than the polygenic risk score for risk prediction of CHD. In addition, the coronary artery calcium score but not the polygenic risk score significantly improved risk discrimination and risk reclassification for CHD when added to traditional risk factors.

Indexed as

AtherosclerosisCoronary DiseaseAgedCalciumCoronary VesselsHumansMiddle AgedRisk AssessmentRisk FactorsCalcium

Identifiers

PMID37219552
PMCPMC10208141
OpenAlexW4377565526

What Socratic holds

Textmetadata
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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.