Evidence map›Paper›PMID 30952611›Full record

ReviewJournal of cardiovascular computed tomography

Coronary atherosclerosis imaging by CT to improve clinical outcomes.

Michelle C Williams, David E Newby, Edward D Nicol

Abstract readReview
In one paragraph

Review in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Michelle C WilliamsUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK; Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK. Electronic address: michelle.williams@ed.ac.uk.
David E NewbyUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK; Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK.
Edward D NicolRoyal Brompton and Harefield NHS Foundation Trust Departments of Cardiology and Radiology, London, UK; National Heart and Lung Institute, Faculty of Medicine, Imperial College, London, UK.

Funding

British Heart Foundation CH/09/002British Heart Foundation CH/09/002/26360Chief Scientist Office PCL/17/04Medical Research Council G0701127Wellcome Trust
6 · The paper itself

Abstract

Coronary artery disease remains an important cause of morbidity and mortality world-wide. Coronary Computed Tomography Angiography (CCTA) has excellent diagnostic accuracy and the identification and stratification of coronary artery disease is associated with improved prognosis in multiple studies. Recent randomized controlled trials have shown that in patients with stable coronary artery disease, CCTA is associated with improved diagnosis, changes in investigations, changes in medical treatment and appropriate selection for revascularization. Importantly this diagnostic approach reduces the long-term risk of fatal and non-fatal myocardial infarction. The identification of adverse plaques on CCTA is known to be associated with an increased risk of acute coronary syndrome, but does not appear to be predictive of long-term outcomes independent of coronary artery calcium burden. Future research will involve the assessment of outcomes after CCTA in patients with acute chest pain and asymptomatic patients. In addition, more advanced quantification of plaque subtypes, vascular inflammation and coronary flow dynamics may identify further patients at increased risk.

Indexed as

Computed Tomography AngiographyPlaque, AtheroscleroticAcute Coronary SyndromeCoronary AngiographyCoronary Artery DiseaseCoronary VesselsHumansPredictive Value of TestsPrognosisReproducibility of ResultsSeverity of Illness Index

Identifiers

PMID30952611
PMCPMC6928571

What OpenQuestion holds

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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 OpenQuestion graph.