Evidence map›Paper›PMID 40642751›Full record

SynthesisFrontiers in cardiovascular medicine2025

Prognostic value of epicardial adipose tissue in heart failure: a systematic review and meta-analysis.

Qingqun Wu, Junhan Guo, Fengru Liu, Chenchen Dong, Yu Wang, Lu Liu, Shulong Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2025. 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
–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. Review
  2. Review
  3. Article
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  5. 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

7 authors.

Qingqun WuHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Junhan GuoHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Fengru LiuHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Chenchen DongHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Yu WangHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Lu LiuHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Shulong ZhangHeart Center, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epicardial adipose tissue (EAT) essentially affects the pathophysiologic development of heart failure (HF), while existing research has not well elucidated its prognostic value for outcome. The present study aims at including relevant studies for systematically assessing its prognostic value in HF patients. Methods: The studies assessing the way EAT was employed to predict adverse HF outcomes were included from PubMed, Web of Science, Embase, and the Cochrane Library databases, and relevant data were accurately extracted. The primary outcome included the composite outcome of HF hospitalization and all-cause mortality (ACM). Secondary outcomes were the composite outcome of cardiovascular death and HF hospitalization and HF rehospitalization. We combined the standard mean difference (SMD) of EAT in HF patients with and without adverse events (AEs) and the EAT to adverse outcome hazard ratio (HR). Results: The nine included studies involved 1,939 HF patients and 329 control populations. HF patients with AEs presented a higher EAT vs. those without (SMD: 3.33, CI: 0.96-5.69, Conclusion: EAT is considered a clinical predictor of the composite outcome of HF hospitalization and ACM and may contribute to the prediction of poor prognosis in HF patients. Systematic Review Registration: https://www.crd.york.ac.uk/, identifier [CRD420250653252].

Indexed as

ejection fractionepicardial adipose tissueheart failurepredictionprognosis

Identifiers

PMID40642751
PMCPMC12240945

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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.