Evidence map›Paper›PMID 35498013›Full record

ArticleFrontiers in cardiovascular medicine2022

Coronary Computed Tomography Angiography Analysis of Calcium Content to Identify Non-culprit Vulnerable Plaques in Patients With Acute Coronary Syndrome.

Théo Pezel, Georgios Sideris, Jean-Guillaume Dillinger, Damien Logeart, Stéphane Manzo-Silberman, Alain Cohen-Solal, Florence Beauvais, Niveditha Devasenapathy, Jean-Pierre Laissy, Patrick Henry

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

10 authors at 4 institutions in 2 countries.

Théo PezelDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Georgios SiderisDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Jean-Guillaume DillingerDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Damien LogeartDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Stéphane Manzo-SilbermanDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Alain Cohen-SolalDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Florence BeauvaisDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Niveditha DevasenapathyPublic Health Foundation of India, Indian Institute of Public Health, New Delhi, India.
Jean-Pierre LaissyDepartment of Radiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Patrick HenryDepartment of Cardiology, Lariboisiere Hospital, Assistance Publique - Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Hôpital Lariboisière · FRAssistance Publique – Hôpitaux de Paris · FRPublic Health Foundation of India · INUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aside from the culprit plaque, the presence of vulnerable plaques in patients with acute coronary syndrome (ACS) may be associated with future cardiac events. A link between calcification and plaque rupture has been previously described. Aim: To assess whether analysis of the calcium component of coronary plaques using CT angiography, coronary computed tomographic angiography (CCTA) can help to detect additional vulnerable plaques in patients with non-ST elevation myocardial infarction (NSTEMI). Materials And Methods: Cross sectional study of consecutive patients referred for NSTEMI from 30 July to 30 August 2018 with CCTA performed before coronary angiography with systematic optical coherence tomography (OCT) analysis of all coronary arteries within 24 h of clinical onset of NSTEMI. Three types of plaques were defined: culprit plaques defined by angiography (vulnerable culprit plaques-VCP) - plaques with a fibrous cap thickness < 65 microns or thrombus in OCT (vulnerable non-culprit plaque-VNCP) - plaques with a fibrous cap thickness ≥ 65 microns in OCT (stable plaque-SP). Results: A total of 134 calcified plaques were identified in 29 patients (73% male, 59 ± 14 years) with 29(22%) VCP, 28(21%) VNCP and 77(57%) SP. Using CCTA analysis of the calcium component, factors associated with vulnerable plaques were longer calcification length, larger calcification volume, lower calcium mass, higher Agatston score plaque-specific (ASp), presence of spotty calcifications and an intimal position in the wall. In multivariate analysis, ASp, calcification length and spotty calcifications were independently associated to vulnerable plaques. There was no difference between VCP and VNCP. Conclusions: CCTA analysis of calcium component of the plaque could help to identify additional vulnerable plaques in NSTEMI patients.

Indexed as

coronary calcificationcoronary computed tomographic angiography (CCTA)non-ST elevation myocardial infarction (NSTEMI)optical coherence tomography (OCT)vulnerable plaque

Identifiers

PMID35498013
PMCPMC9051337
OpenAlexW4224104274

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.