Evidence map›Paper›PMID 39064316›Full record

ReviewJournal of clinical medicine2024

Beyond Stress Ischemia: Unveiling the Multifaceted Nature of Coronary Vulnerable Plaques Using Cardiac Computed Tomography.

Gianluigi Napoli, Saima Mushtaq, Paolo Basile, Maria Cristina Carella, Daniele De Feo, Michele Davide Latorre, Andrea Baggiano, Marco Matteo Ciccone, Gianluca Pontone, Andrea Igoren Guaricci

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

10 authors.

Gianluigi NapoliUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.ORCID 0000-0002-2512-4232
Saima MushtaqDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
Paolo BasileUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.ORCID 0000-0002-2327-7585
Maria Cristina CarellaUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.ORCID 0000-0002-5094-2237
Daniele De FeoUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.ORCID 0000-0003-1055-0973
Michele Davide LatorreUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.
Andrea BaggianoDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.ORCID 0000-0002-8261-4529
Marco Matteo CicconeUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.
Gianluca PontoneDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
Andrea Igoren GuaricciUniversity Cardiologic Unit, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Polyclinic University Hospital, 70124 Bari, Italy.ORCID 0000-0001-7133-4401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, cardiovascular prevention has been predominantly focused on stress-induced ischemia, but recent trials have challenged this paradigm, highlighting the emerging role of vulnerable, non-flow-limiting coronary plaques, leading to a shift towards integrating plaque morphology with functional data into risk prediction models. Coronary computed tomography angiography (CCTA) represents a high-resolution, low-risk, and largely available non-invasive modality for the precise delineation of plaque composition, morphology, and inflammatory activity, further enhancing our ability to stratify high-risk plaque and predict adverse cardiovascular outcomes. Coronary artery calcium (CAC) scoring, derived from CCTA, has emerged as a promising tool for predicting future cardiovascular events in asymptomatic individuals, demonstrating incremental prognostic value beyond traditional cardiovascular risk factors in terms of myocardial infarction, stroke, and all-cause mortality. Additionally, CCTA-derived information on adverse plaque characteristics, geometric characteristics, and hemodynamic forces provides valuable insights into plaque vulnerability and seems promising in guiding revascularization strategies. Additionally, non-invasive assessments of epicardial and pericoronary adipose tissue (PCAT) further refine risk stratification, adding prognostic significance to coronary artery disease (CAD), correlating with plaque development, vulnerability, and rupture. Moreover, CT imaging not only aids in risk stratification but is now emerging as a screening tool able to monitor CAD progression and treatment efficacy over time. Thus, the integration of CAC scoring and PCAT evaluation into risk stratification algorithms, as well as the identification of high-risk plaque morphology and adverse geometric and hemodynamic characteristics, holds promising results for guiding personalized preventive interventions, helping physicians in identifying high-risk individuals earlier, tailoring lifestyle and pharmacological interventions, and improving clinical outcomes in their patients.

Indexed as

CCTAcoronary artery calciumcoronary plaque

Identifiers

PMID39064316
PMCPMC11278082

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Registered trials

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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.