Evidence map›Paper›PMID 35861969›Full record

ReviewJACC. Cardiovascular imaging2022

Evolving Role of Calcium Density in Coronary Artery Calcium Scoring and Atherosclerotic Cardiovascular Disease Risk.

Alexander C Razavi, Arthur S Agatston, Leslee J Shaw, Carlo N De Cecco, Marly van Assen, Laurence S Sperling, Marcio S Bittencourt, Melissa A Daubert, Khurram Nasir, Roger S Blumenthal and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in JACC. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Alexander C RazaviJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Emory Center for Heart Disease Prevention, Emory University School of Medicine, Atlanta, Georgia, USA; Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, Georgia, USA.
Arthur S AgatstonDepartment of Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA.
Leslee J ShawBlavatnik Family Women's Health Research Institute, Mount Sinai School of Medicine, New York, New York, USA.
Carlo N De CeccoTranslational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, Georgia, USA.
Marly van AssenTranslational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, Georgia, USA.
Laurence S SperlingEmory Center for Heart Disease Prevention, Emory University School of Medicine, Atlanta, Georgia, USA.
Marcio S BittencourtHeart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Melissa A DaubertDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Khurram NasirDepartment of Cardiovascular Medicine, Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
Roger S BlumenthalJohns 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.
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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.
Johns Hopkins University · USEmory University · USDuke Medical Center · USFlorida International University · USHouston Methodist · USIcahn School of Medicine at Mount Sinai · USUniversity of Pittsburgh Medical Center · US

Funding

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

Abstract

Coronary artery calcium (CAC) is a specific marker of coronary atherosclerosis that can be used to measure calcified subclinical atherosclerotic burden. The Agatston method is the most widely used scoring algorithm for quantifying CAC and is expressed as the product of total calcium area and a quantized peak calcium density weighting factor defined by the calcification attenuation in HU on noncontrast computed tomography. Calcium density has emerged as an important area of inquiry because the Agatston score is upweighted based on the assumption that peak calcium density and atherosclerotic cardiovascular disease (ASCVD) risk are positively correlated. However, recent evidence demonstrates that calcium density is inversely associated with lesion vulnerability and ASCVD risk in population-based cohorts when accounting for age and plaque area. Here, we review calcium density by focusing on 3 main areas: 1) CAC scan acquisition parameters; 2) pathophysiology of calcified plaques; and 3) epidemiologic evidence relating calcium density to ASCVD outcomes. Through this process, we hope to provide further insight into the evolution of CAC scoring on noncontrast computed tomography.

Indexed as

AtherosclerosisCardiovascular DiseasesCoronary Artery DiseasePlaque, AtheroscleroticVascular CalcificationCalciumCoronary VesselsHumansPredictive Value of TestsRisk AssessmentRisk FactorsCalciumatherosclerosiscalcium densitycoronary artery calciumnoncontrast computed tomography

Identifiers

PMID35861969
PMCPMC9908416
OpenAlexW4280636597

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.