Evidence map›Paper›PMID 41993863›Full record

ArticleFrontiers in cardiovascular medicine2026

Epicardial adipose tissue volume stratifies atrial fibrillation subtypes in reduced ejection fraction heart failure: a CT-based predictor.

Ji-Fang Ma, Qi-Fan Hua, You Zhou, Juan Hu, Wei-Feng Song, Ke Chen, Xiao-Biao Zang, Er-Peng Liang, Yong-Hui Zhao, Zhi-Ping Guo and 1 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ji-Fang Ma *Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Qi-Fan Hua *Department of Radiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Henan Provincial Key Laboratory of Cardiology Medical Imaging, Zhengzhou, China.
You Zhou *Henan Provincial Health Management Center, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Juan HuDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Wei-Feng SongDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Ke ChenDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Xiao-Biao ZangDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Er-Peng LiangDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Yong-Hui ZhaoDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Zhi-Ping GuoDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Hai-Xia FuDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epicardial adipose tissue (EAT) is involved in atrial fibrillation (AF) pathogenesis. Its specific role in stratifying AF subtypes among patients who also have reduced ejection fraction heart failure is not well defined. Objective: We aimed to compare EAT volume between AF patients with and without reduced ejection fraction heart failure, and to assess its link with AF subtypes. Methods: In this retrospective study, 224 AF patients (2018-2023) were classified into CAH group (combined AF and heart failure, LVEF < 50%, Results: Overall EAT volume was similar between the CAH and AF groups (152.3 ± 61.6 vs. 166.8 ± 73.2 mL, Conclusion: In patients with heart failure, increased epicardial adipose tissue (EAT) volume is linked to the progression from paroxysmal to persistent atrial fibrillation (AF). Measuring EAT volume may therefore serve as a useful imaging biomarker to identify those at higher risk of AF progression, which could help guide more personalized management.

Indexed as

atrial fibrillationcomputed tomographyepicardial adipose tissueheart failurepredictor

Identifiers

PMID41993863
PMCPMC13079019

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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.