Evidence map›Paper›PMID 36607825›Full record

ReviewThe British journal of radiology2023

Evaluation of pericoronary adipose tissue attenuation on CT.

Runlei Ma, Roberto Fari, Pim van der Harst, Carlo N De Cecco, Arthur E Stillman, Rozemarijn Vliegenthart, Marly van Assen

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Pericoronary Fat Attenuation Index Mediates the Link Between TyG Index and OSA Risk in Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Review
  14. Review
  15. Frontiers in medicine · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Runlei MaDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-7782-2614
Roberto FariDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, USA.
Pim van der HarstDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Carlo N De CeccoDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, USA.
Arthur E StillmanDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, USA.
Rozemarijn VliegenthartDepartment of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Marly van AssenDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pericoronary adipose tissue (PCAT) is the fat deposit surrounding coronary arteries. Although PCAT is part of the larger epicardial adipose tissue (EAT) depot, it has different pathophysiological features and roles in the atherosclerosis process. While EAT evaluation has been studied for years, PCAT evaluation is a relatively new concept. PCAT, especially the mean attenuation derived from CT images may be used to evaluate the inflammatory status of coronary arteries non-invasively. The most commonly used measure, PCAT

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticAdipose TissueComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHumansTomography, X-Ray Computed

Identifiers

PMID36607825
PMCPMC10161916

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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.