Evidence map›Paper›PMID 25601032›Full record

ReviewJournal of the American College of Cardiology2015

The myth of the "vulnerable plaque": transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment.

Armin Arbab-Zadeh, Valentin Fuster

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the American College of Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 3 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

185 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Prospective Assessment of Biomarkers of Hypercoagulability for the Identification of Patients With Severe Coronary Artery Disease. The ROADMAP-CAD Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Trial
  8. Multi-omics integration and machine learning identify an ACKR1Clinical and translational medicine · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

125 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Armin Arbab-ZadehDepartment of Medicine, Cardiology Division, Johns Hopkins University, Baltimore, Maryland. Electronic address: azadeh1@jhmi.edu.
Valentin FusterMount Sinai Medical Center, Icahn School of Medicine, New York, New York.

Funding

Quantification and Characterization of Coronary Atherosclerotic Plaque by CTK23HL098368 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ZADEH, ARMIN A. · 2011 to 2015
$699k
NHLBI NIH HHS K23 HL098368NHLBI NIH HHS K23-HL098368
6 · The paper itself

Abstract

The cardiovascular science community has pursued the quest to identify vulnerable atherosclerotic plaque in patients for decades, hoping to prevent acute coronary events. However, despite major advancements in imaging technology that allow visualization of rupture-prone plaques, clinical studies have not demonstrated improved risk prediction compared with traditional approaches. Considering the complex relationship between plaque rupture and acute coronary event risk suggested by pathology studies and confirmed by clinical investigations, these results are not surprising. This review summarizes the evidence supporting a multifaceted hypothesis of the natural history of atherosclerotic plaque rupture. Managing patients at risk of acute coronary events mandates a greater focus on the atherosclerotic disease burden rather than on features of individual plaques.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticCardiac Imaging TechniquesCost of IllnessHumansPredictive Value of TestsRisk Assessmentatherosclerosiscoronary heart diseasecoronary imagingprevention

Identifiers

PMID25601032
PMCPMC4344871

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.