Evidence map›Paper›PMID 40636778›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

High levels of pericoronary adipose tissue inflammation are associated with coronary atherosclerosis independent of epicardial adipose tissue volume in patients with chronic coronary syndrome.

Hiroki Yamaura, Kenichiro Otsuka, Hirotoshi Ishikawa, Kana Hojo, Kotaro Matsumoto, Naoki Fujisawa, Akihiro Okamoto, Tomohiro Yamaguchi, Shunsuke Kagawa, Takenobu Shimada and 6 more

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. 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.

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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

16 authors.

Hiroki YamauraDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.ORCID https://orcid.org/0000-0002-3386-5292
Kenichiro OtsukaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.ORCID https://orcid.org/0000-0003-1359-3143
Hirotoshi IshikawaDepartment of Cardiovascular Medicine, Kashibaseiki Hospital, Kashiba, Nara 639-0252, Japan.ORCID https://orcid.org/0000-0002-7945-3277
Kana HojoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.ORCID https://orcid.org/0000-0003-3879-5550
Kotaro MatsumotoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Naoki FujisawaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Akihiro OkamotoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Tomohiro YamaguchiDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Shunsuke KagawaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Takenobu ShimadaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.ORCID https://orcid.org/0000-0002-6300-9112
Atsushi ShibataDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Asahiro ItoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Takanori YamazakiDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.
Kenei ShimadaDepartment of Cardiovascular Medicine, Kashibaseiki Hospital, Kashiba, Nara 639-0252, Japan.
Noriaki KasayukiDepartment of Cardiovascular Medicine, Kashibaseiki Hospital, Kashiba, Nara 639-0252, Japan.
Daiju FukudaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study aimed to assess clinical risks and coronary atherosclerotic burden in patients with chronic coronary syndrome (CCS) stratified by pericoronary artery adipose tissue (PCAT) composition and epicardial adipose tissue volume (EAV). Methods and results: We retrospectively included 410 CCS patients who underwent coronary computed tomography angiography. Patients were divided into four groups based on an EAV index ≥ 73.5 mL/mm Conclusion: Elevated PCAT inflammation is associated with the coronary plaque burden independent of EAV index in patients with CCS. Lay summary: • This study demonstrates that distinct phenotypes based on ectopic fat volume and composition-the volume of epicardial adipose tissue (EAT) and the inflammation status of pericoronary adipose tissue (PCAT)-can characterize coronary atherosclerotic disease burden in patients with chronic coronary syndrome.• While both increased EAT volume and PCAT inflammation have been reportedly associated with coronary artery disease (CAD) and cardiovascular events, evidence investigating the association of EAT volume and PCAT inflammation with CAD disease burden is limited.• Patients with increased EAT volume are at an elevated risk for coronary artery calcification and increased plaque burden, regardless of PCAT inflammation. In contrast, among patients without increased EAT volume, increased PCAT inflammation is correlated with an increased risk of coronary artery calcification and plaque burden.

Indexed as

adipose tissueatherosclerosiscalcificationcomputed tomographyinflammationpericoronary artery adipose tissue

Identifiers

PMID40636778
PMCPMC12238945

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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.