Evidence mapPaperPMID 39106525Full record

ArticleEuropean heart journal. Cardiovascular Imaging2024

Pericoronary adipose tissue for predicting long-term outcomes.

Sophie E van Rosendael, Vasileios Kamperidis, Teemu Maaniitty, Michiel A de Graaf, Antti Saraste, George E McKay-Goodall, J Wouter Jukema, Juhani Knuuti, Jeroen J Bax

Abstract read
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Article in European heart journal. Cardiovascular Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Review
  16. Role of Perivascular Adipose Tissue in Vein Remodeling.Arteriosclerosis, thrombosis, and vascular biology · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Cardiovascular imaging in 2024: review of current research and innovations.European heart journal. Imaging methods and practice · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Sophie E van RosendaelDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.ORCID 0000-0002-1111-7971
Vasileios KamperidisFirst Department of Cardiology, Medical School, AHEPA Hospital, Aristotle University of Thessaloniki, , St. Kiriakidi 1, Thessaloniki GR-54636, Greece.
Teemu MaaniittyTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Michiel A de GraafDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.
Antti SarasteTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
George E McKay-GoodallSt. Vincent's Hospital Sydney, University of New South Wales Medical School, Sydney, NSW, Australia.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.
Juhani KnuutiTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Jeroen J BaxDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPericoronary adipose tissue (PCAT) attenuation obtained by coronary computed tomography angiography (CCTA) has been associated with coronary inflammation and outcomes. Whether PCAT attenuation is predictive of major adverse cardiac events (MACE) during long-term follow-up is unknown. METHODS AND

resultsSymptomatic patients with coronary artery disease (CAD) who underwent CCTA were included, and clinical outcomes were evaluated. PCAT was measured at all lesions for all three major coronary arteries using semi-automated software. A comparison between patients with and without MACE was made on both a per-lesion and a per-patient level. The predictive value of PCAT attenuation for MACE was assessed in Cox regression models. In 483 patients (63.3 ± 8.5 years, 54.9% men), 1561 lesions were analysed over a median follow-up duration of 9.5 years. The mean PCAT attenuation was not significantly different between patients with and without MACE. At a per-patient level, the adjusted hazard ratio (HR) and 95% confidence interval (CI) for MACE were 0.970 (95% CI: 0.933-1.008, P = 0.121) when the average of all lesions per patient was analysed, 0.992 (95% CI: 0.961-1.024, P = 0.622) when only the most obstructive lesion was evaluated, and 0.981 (95% CI: 0.946-1.016, P = 0.285) when only the lesion with the highest PCAT attenuation per individual was evaluated. Adjusted HRs for vessel-specific PCAT attenuation in the right coronary artery, left anterior descending artery, and left circumflex artery were 0.957 (95% CI: 0.830-1.104, P = 0.548), 0.989 (95% CI: 0.954-1.025, P = 0.550), and 0.739 (95% CI: 0.293-1.865, P = 0.522), respectively, in predicting long-term MACE.

conclusionIn patients referred to CCTA for clinically suspected CAD, PCAT attenuation did not predict MACE during long-term follow-up.

Indexed as

Adipose TissueComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseAgedCohort StudiesEpicardial Adipose TissueFemaleFollow-Up StudiesHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk Assessmentatherosclerosiscoronary artery diseasecoronary computed tomography angiographymajor adverse cardiac eventpericoronary adipose tissue

Identifiers

PMID39106525
PMCPMC11441029

What Socratic holds

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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 Socratic graph.