Evidence map›Paper›PMID 40964163›Full record

ArticleFrontiers in endocrinology2025

The role of metabolic score for visceral fat in the prediction of atrial fibrillation recurrence risk after catheter ablation.

Yazhe Ma, Xiaolong Gao, Jianying Sun, Xiaohui Kuang, Xi Zhang, Feiyu Wei, Tao Ma, Yanju Cui, Jia Guo, Peng Wu and 2 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yazhe MaYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Xiaolong GaoYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Jianying SunYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Xiaohui KuangYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Xi ZhangYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Feiyu WeiYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Tao MaYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Yanju CuiYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Jia GuoYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Peng WuYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Jiangwen LiuDepartment of Biopharmaceuticals and Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, China.
Jie FanYunnan Arrhythmia Research Center, Division of Cardiology, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies show that visceral fat tissue (VAT) play an important role in atrial fibrillation (AF). The metabolic score of visceral fat (METS-VF), a new surrogate to estimate VAT, is associated with cardiovascular mortality risk. In this study, we try to investigate the association between METS-VF and the risk of AF recurrence after catheter ablation. Methods: 478 consecutive patients underwent catheter ablation were obtained and used to assess the relationship between METS-VF and the risk of AF recurrence. Cox regression was used to calculate the hazard ration (HR) of METS-VF for the risk of AF recurrence. Restricted cubic splines (RCS) was used to assessed the linear relationship between METS-VF and the AF recurrence risk. Results: A total of 112(23.4%) patients experienced AF recurrence during 18.0 ± 9.6 months follow-up. The AF recurrence rate was significantly higher in the highest quartile of METS-VF than the other three quartiles (log rank = 0.021). In the univariate cox regression, LAD, and MET-VF were associated with AF recurrence (p<0.0001). In the multiple Cox regression results, compared with the participants with lowest METS-VF (Q1), the hazard ratio (HR) (95% CI) for the AF recurrence risk was 1.29 (0.73, 2.29) for Q2 (p=0.39), 1.59 (0.88 - 2.87) for Q3 (p=0.12), and 2.22 (1.20, 4.12) for Q4 (p<0.01) respectively. Conclusions: METS-VF was positively associated with the elevated AF recurrence risk. Our findings show that the METS-VF could be used to AF recurrence risk stratification.

Indexed as

Atrial FibrillationCatheter AblationIntra-Abdominal FatAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRecurrenceRisk Factorsatrial fibrillationcatheter ablationindependent risk factormetabolic score of visceral fatvisceral obesity

Identifiers

PMID40964163
PMCPMC12436089

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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.