Evidence map›Paper›PMID 36808390›Full record

ReviewCurrent atherosclerosis reports2023

Does Coronary Plaque Morphology Matter Beyond Plaque Burden?

Daniel Lorenzatti, Pamela Piña, Ibolya Csecs, Aldo L Schenone, Carlos A Gongora, Mario J Garcia, Michael J Blaha, Matthew J Budoff, Michelle C Williams, Damini Dey and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Daniel LorenzattiCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Pamela PiñaCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Ibolya CsecsCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Aldo L SchenoneCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Carlos A GongoraCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Mario J GarciaCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Matthew J BudoffDepartment of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA.
Michelle C WilliamsBHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Damini DeyDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Salim S ViraniSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Leandro SlipczukCardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA. lslipczukb@montefiore.org.ORCID 0000-0003-3091-3735

Funding

British Heart Foundation FS/ICRF/20/26002
6 · The paper itself

Abstract

purpose of reviewImaging of adverse coronary plaque features by coronary computed tomography angiography (CCTA) has advanced greatly and at a fast pace. We aim to describe the evolution, present and future in plaque analysis, and its value in comparison to plaque burden. RECENT

findingsRecently, it has been demonstrated that in addition to plaque burden, quantitative and qualitative assessment of coronary plaque by CCTA can improve the prediction of future major adverse cardiovascular events in diverse coronary artery disease scenarios. The detection of high-risk non-obstructive coronary plaque can lead to higher use of preventive medical therapies such as statins and aspirin, help identify culprit plaque, and differentiate between myocardial infarction types. Even more, over traditional plaque burden, plaque analysis including pericoronary inflammation can potentially be useful tools for tracking disease progression and response to medical therapy. The identification of the higher risk phenotypes with plaque burden, plaque characteristics, or ideally both can allow the allocation of targeted therapies and potentially monitor response. Further observational data are now required to investigate these key issues in diverse populations, followed by rigorous randomized controlled trials.

Indexed as

Coronary Artery DiseaseMyocardial InfarctionPlaque, AtheroscleroticComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHumansPredictive Value of TestsTomography, X-Ray ComputedCACCoronary artery diseasePlaque burdenPlaque morphology

Identifiers

What OpenQuestion holds

Textmetadata
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.