Evidence map›Paper›PMID 40458371›Full record

ReviewArrhythmia & electrophysiology review2025

The Management of Obesity Before Catheter Ablation of AF: The Missing Piece?

Kyaw Z Win, Matthew J Armstrong, Richard P Steeds, Manish Kalla

Abstract readReview
In one paragraph

Review in Arrhythmia & electrophysiology review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Kyaw Z WinDepartment of Cardiology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust Birmingham, UK.ORCID https://orcid.org/0000-0002-8553-5914
Matthew J ArmstrongDepartment of Hepatology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust Birmingham, UK.ORCID https://orcid.org/0000-0002-3425-1161
Richard P SteedsDepartment of Cardiology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust Birmingham, UK.ORCID https://orcid.org/0000-0001-5687-2535
Manish KallaDepartment of Cardiology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust Birmingham, UK.ORCID https://orcid.org/0000-0003-2836-5960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity independently increases AF risk and negatively affects the outcomes of catheter ablation. This review examines the relationship between obesity and AF, focusing on structural and electrical remodelling. Multiple studies demonstrate worse ablation outcomes in patients with obesity. Pre-ablation weight loss improves outcomes and maintaining weight loss post-ablation is equally important. Risk factor modification programmes show promise, however they require a large investment in resources. Less intensive strategies focusing on diet and exercise have shown mixed results. Glucagon-like peptide-1 receptor agonists have been identified as potential adjunct therapies. They have multiple effects, including preferential reduction of epicardial adipose tissue and an anti-inflammatory action. Further research is needed to establish their efficacy in improving ablation outcomes. This review highlights the importance of weight management in AF treatment and suggests potential monitoring strategies using cardiac imaging. Future studies may shift the paradigm for the management of AF patients with obesity who are undergoing ablation.

Indexed as

Ablationatrial fibrillationduration of therapyemerging therapiesobesityrisk factors

Identifiers

PMID40458371
PMCPMC12127968

What OpenQuestion holds

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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 OpenQuestion graph.