Evidence map›Paper›PMID 35022211›Full record

ReviewHeart (British Cardiac Society)2022

Cardiovascular computed tomography imaging for coronary artery disease risk: plaque, flow and fat.

Keith M Channon, David E Newby, Edward D Nicol, John Deanfield

Open access · hybridAbstract readReview
In one paragraph

Review in Heart (British Cardiac Society), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.9field-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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Inflammatory risk after myocardial infarction: the fire that persists.American journal of preventive cardiology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Computed Tomography and Coronary Plaque Analysis.Tomography (Ann Arbor, Mich.) · 2025
    Review
  10. Review of Optical Imaging in Coronary Artery Disease Diagnosis.Journal of cardiovascular development and disease · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

4 authors at 4 institutions in 1 country.

Keith M ChannonDepartment of Cardiovascular Medicine, University of Oxford, Oxford, UK keith.channon@cardiov.ox.ac.uk.ORCID 0000-0002-1043-4342
David E NewbyCentre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7971-4628
Edward D NicolRoyal Brompton and Harefield NHS Foundation Trust, London, UK.
John DeanfieldDepartments of Cardiology and Radiology, Centre for Cardiovascular Prevention and Outcomes, University College London, London, UK.
Royal Brompton & Harefield NHS Foundation Trust · GBUniversity College London · GBUniversity of Edinburgh · GBUniversity of Oxford · GB

Funding

British Heart Foundation CH/09/002/26360British Heart Foundation CH/16/1/32013British Heart Foundation SP/17/16/33519
6 · The paper itself

Abstract

Cardiac imaging is central to the diagnosis and risk stratification of coronary artery disease, beyond symptoms and clinical risk factors, by providing objective evidence of myocardial ischaemia and characterisation of coronary artery plaque. CT coronary angiography can detect coronary plaque with high resolution, estimate the degree of functional stenosis and characterise plaque features. However, coronary artery disease risk is also driven by biological processes, such as inflammation, that are not fully reflected by severity of stenosis, myocardial ischaemia or by coronary plaque features. New cardiac CT techniques can assess coronary artery inflammation by imaging perivascular fat, and this may represent an important step forward in identifying the 'residual risk' that is not detected by plaque or ischaemia imaging. Coronary artery disease risk assessment that incorporates clinical factors, plaque characteristics and perivascular inflammation offers a more comprehensive individualised approach to quantify and stratify coronary artery disease risk, with potential healthcare benefits for prevention, diagnosis and treatment recommendations. Furthermore, identifying new biomarkers of cardiovascular risk has the potential to refine early-life prevention strategies, before atherosclerosis becomes established.

Indexed as

Coronary Artery DiseaseCoronary StenosisMyocardial IschemiaPlaque, AtheroscleroticComputed Tomography AngiographyConstriction, PathologicCoronary AngiographyCoronary VesselsHumansInflammationPredictive Value of Testscoronary artery diseasecoronary stenosiscoronary vesselsmultidetector computed tomographyrisk factors

Identifiers

PMID35022211
PMCPMC9484394
OpenAlexW4205190794

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.