Evidence mapPaperPMID 39698616Full record

ReviewQuantitative imaging in medicine and surgery2024

The role of cardiac adipose tissue in coronary artery disease: a narrative review of cardiac imaging studies.

Rajiv Baichoo, Jiayi Fu, Xing Xiong, Qijing Zhou, Xiaojun Guan, Xiaojun Xu

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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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

6 authors.

Rajiv BaichooDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiayi FuThe Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Xing XiongJiangnan Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Qijing ZhouDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaojun GuanDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaojun XuDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Cardiac adipose tissue's (CAT) role in the pathogenesis of coronary artery disease (CAD) has become a hot topic in the literature in recent years. Cardiac computed tomography (CCT), a cutting-edge imaging modality, has become vital in quantifying and characterizing CAT. CAT is divided into paracardial adipose tissue (PAT), epicardial adipose tissue (EAT), and pericoronary adipose tissue (PCAT). Despite numerous studies investigating the association of EAT and PCAT with CAD, their connection remains equivocal. In this review, we clarify the relationship between EAT and PCAT with atherosclerotic burden, high-risk plaque, major adverse cardiovascular events, and the prediction of CAD through the use of CCT. Methods: A thorough literature research spanning from January 2004 to May 2024 of the PubMed database was conducted. Only publications in English which included reviews, clinical trials, meta-analyses, and systematic reviews on CAT's association with CAD were considered. The 63 articles in the review honed in on the influence of CAT metrics obtained mainly by CCT with multiple stages of CAD. Key Content and Findings: Current evidence supports the interaction between dysfunctioning EAT and PCAT and the release of several molecules within the neighboring coronary arteries which is linked with the development and progression of CAD. EAT is related to coronary plaque synthesis. PCAT underlines ongoing inflammation within the plaques. CAT evaluation provides significant incremental value compared to existing assessment methods. It enables enhanced prognostic judgment and further stratified management of CAD patients. Conclusions: CAT metrics have the potential to become future biomarkers of CAD. Additional investigations are required to explore the potential of these metrics as composite scores CAD risk prediction.

Indexed as

Adipose tissuecardiac imagingcoronary artery disease (CAD)

Identifiers

PMID39698616
PMCPMC11651924

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.