Evidence map›Paper›PMID 38811091›Full record

ArticleJournal of the American College of Cardiology2024

Coronary Atherosclerotic Plaque Activity and Risk of Myocardial Infarction.

Kang-Ling Wang, Craig Balmforth, Mohammed N Meah, Marwa Daghem, Alastair J Moss, Evangelos Tzolos, Jacek Kwiecinski, Patrycja Molek-Dziadosz, Neil Craig, Anda Bularga and 18 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American College of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. From incidental positron emission uptake toFrontiers in cardiovascular medicine · 2026
    Review
  9. Article
  10. Beyond the Lumen: Molecular Imaging to Unmask Vulnerable Coronary Plaques.Journal of cardiovascular development and disease · 2025
    Review
  11. Cardiovascular imaging in 2024: review of current research and innovations.European heart journal. Imaging methods and practice · 2025
    Review
  12. Review
  13. Review
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

28 authors.

Kang-Ling WangCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan. Electronic address: k.l.wang@ed.ac.uk.
Craig BalmforthCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Mohammed N MeahCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Marwa DaghemCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Alastair J MossCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Evangelos TzolosCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Jacek KwiecinskiDepartment of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
Patrycja Molek-DziadoszDepartment of Coronary Artery Disease and Heart Failure, John Paul II Hospital, Kraków, Poland.
Neil CraigCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Anda BulargaCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Philip D AdamsonChristchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Dana K DawsonAberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, United Kingdom.
Parthiban ArumugamManchester University National Health Service (NHS) Foundation Trust, Manchester, United Kingdom.
Nikant K SabharwalOxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
John P GreenwoodLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom; The Baker Heart and Diabetes Institute, Monash University, and University of Melbourne, Melbourne, Victoria, Australia.
Jonathan N TownendInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.
Patrick A CalvertRoyal Papworth Hospital NHS Foundation Trust, Cambridge, United Kingdom; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
James H F RuddDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
Johan W VerjansAustralian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia; Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Daniel S BermanCedars-Sinai Medical Center, Los Angeles, California, USA.
Piotr J SlomkaCedars-Sinai Medical Center, Los Angeles, California, USA.
Damini DeyCedars-Sinai Medical Center, Los Angeles, California, USA.
Nicholas L MillsCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Edwin J R van BeekCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Michelle C WilliamsCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Marc R DweckCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
David E NewbyCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
PRE(18)FFIR Study Investigators

Funding

Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0M
British Heart Foundation CH/F/21/90010NHLBI NIH HHS R35 HL161195Wellcome Trust
6 · The paper itself

Abstract

backgroundTotal coronary atherosclerotic plaque activity across the entire coronary arterial tree is associated with patient-level clinical outcomes.

objectivesWe aimed to investigate whether vessel-level coronary atherosclerotic plaque activity is associated with vessel-level myocardial infarction.

methodsIn this secondary analysis of an international multicenter study of patients with recent myocardial infarction and multivessel coronary artery disease, we assessed vessel-level coronary atherosclerotic plaque activity using coronary

resultsIncreased

conclusionsIn patients with recent myocardial infarction and multivessel coronary artery disease, coronary atherosclerotic plaque activity prognosticates individual coronary arteries and patients at risk for myocardial infarction.

Indexed as

Coronary Artery DiseaseMyocardial InfarctionPlaque, AtheroscleroticAgedCoronary VesselsFemaleHumansMaleMiddle AgedPositron-Emission TomographyRisk Factorscoronary atherosclerotic plaque activitymyocardial infarctionpositron emission tomography

Identifiers

PMID38811091
PMCPMC11254330

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.