Evidence map›Paper›PMID 39163370›Full record

ReviewCirculation. Cardiovascular imaging2024

Coronary Atherosclerotic Plaque Burden Assessment by Computed Tomography and Its Clinical Implications.

Nishant Vatsa, Christian Faaborg-Andersen, Tiffany Dong, Michael J Blaha, Leslee J Shaw, Raymundo A Quintana

Abstract readReview
In one paragraph

Review in Circulation. Cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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.

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

13 citing papers in PubMed.

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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

6 authors.

Nishant Vatsa *Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA (N.V.).ORCID 0000-0001-5521-889X
Christian Faaborg-Andersen *Department of Internal Medicine, Massachusetts General Hospital/Harvard Medical School, Boston (C.F.-A.).ORCID 0000-0002-9134-4671
Tiffany DongSection of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, OH (T.D.).ORCID 0000-0002-0086-9289
Michael J BlahaThe Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (M.J.B.).ORCID 0000-0001-5138-9683
Leslee J Shaw *Blavatnik Family Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY (L.J.S.).ORCID 0000-0003-1268-1491
Raymundo A Quintana *Cardiovascular Imaging Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora (R.A.Q.).ORCID 0000-0001-6430-4554

Funding

Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
NHLBI NIH HHS T32 HL130025
6 · The paper itself

Abstract

Recent studies have demonstrated that coronary plaque burden carries greater prognostic value in predicting adverse atherosclerotic cardiovascular disease outcomes than myocardial ischemia, thereby challenging the existing paradigm. Advances in plaque quantification through both noncontrast and contrast-enhanced computed tomography (CT) methods have led to earlier and more cost-effective detection of coronary disease compared with traditional stress testing. The 2 principal techniques of noninvasive coronary plaque quantification assessment are coronary artery calcium scoring by noncontrast CT and coronary CT angiography, both of which correlate with disease burden on invasive angiography. Plaque quantification from these imaging modalities has shown utility in risk stratification and prognostication of adverse cardiovascular events, leading to increased incorporation into clinical practice guidelines and preventive care pathways. Furthermore, due to their expanding clinical value, emerging technologies such as artificial intelligence are being integrated into plaque quantification platforms, placing more advanced measures of plaque burden at the forefront of coronary plaque evaluation. In this review, we summarize recent clinical data on coronary artery calcium scoring and coronary CT angiography plaque quantification in the evaluation of adverse atherosclerotic cardiovascular disease in patients with and without chest pain, highlight how these methods compare to invasive quantification approaches, and directly compare the performance characteristics of coronary artery calcium scoring and coronary CT angiography.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseasePlaque, AtheroscleroticCoronary VesselsHumansPredictive Value of TestsPrognosisRisk AssessmentSeverity of Illness IndexVascular Calcificationartificial intelligencecalciumcardiovascular diseasescomputed tomography angiographyprognosis

Identifiers

PMID39163370
PMCPMC11566462

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Registered trials

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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.