Evidence map›Paper›PMID 34191371›Full record

ArticleJournal of cardiovascular electrophysiology2021

Impact of pre-ablation weight loss on the success of catheter ablation for atrial fibrillation.

Graham Peigh, Jeremiah Wasserlauf, Kelly Vogel, Rachel M Kaplan, Anna Pfenniger, Daniel Marks, Arjun Mehta, Alexandru B Chicos, Rishi Arora, Susan Kim and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 10% of its field
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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Comparing GLP-1 agonists versus other weight loss interventions on risk of atrial fibrillation recurrence after catheter ablation: a meta-analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Impact of physical activity on atrial fibrillation recurrence following catheter ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  8. Obstructive sleep apnea screening performance of the STOP-BANG questionnaire and a home sleep apnea test device in atrial fibrillation ablation candidates.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  9. Observational
  10. Article
  11. Article
  12. Lifestyle and risk factor modification in atrial fibrillation: a European Heart Rhythm Association survey.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  13. Review
  14. Impact of lifestyle risk factors on atrial fibrillation: Mechanisms and prevention approaches - A narrative review.International journal of cardiology. Cardiovascular risk and prevention · 2024
    Review
  15. Review
  16. Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Graham PeighDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-2388-8896
Jeremiah WasserlaufDivision of Cardiology, Rush University, Chicago, Illinois, USA.ORCID 0000-0002-4497-3520
Kelly VogelDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Rachel M KaplanDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Anna PfennigerDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-7812-0860
Daniel MarksDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-5296-6964
Arjun MehtaDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Alexandru B ChicosDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Rishi AroraDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-0725-4332
Susan KimDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Albert LinDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Nishant VermaDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-4817-6614
Kaustubha D PatilDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-4592-1383
Bradley P KnightDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-2129-0401
Rod S PassmanDivision of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-8718-1534
Northwestern University · USRush University · US

Funding

Pathophysiological Significance of Atrial Fibrillation Electrogram PatternsR01HL125881 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ARORA, RISHI · 2015 to 2019
$2.4M
Oxidative stress contributes to atrial fibrillation by causing remodeling of the autonomic nervous systemR01HL140061 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ARORA, RISHI · 2018 to 2021
$2.3M
NHLBI NIH HHS R01 HL125881NHLBI NIH HHS R01 HL140061
6 · The paper itself

Abstract

introductionObesity is an established risk factor for recurrent atrial fibrillation (AF) after ablation. The impact of pre-procedure weight changes on freedom from AF (FFAF) after ablation in obese and nonobese patients is unknown.

methodsA single-center retrospective cohort study of patients undergoing pulmonary vein isolation was performed. Before ablation, all candidates were encouraged to adopt healthy lifestyle habits according to American Heart Association guidelines, including weight loss, by their physician. The primary endpoint was FFAF through 1-year after completion of the 3-month blanking period.

resultsOf the 601 patients (68% male; average age 62.1 ± 10.3 years) included in analysis, 234 patients (38.9%) were obese (body mass index ≥ 30) and 315 (52.4%) had paroxysmal AF. FFAF was observed in 420 patients (69.9%) at 15 months. Percent change in weight that occurred during the year before ablation independently predicted FFAF through 15-months in all patients (adjusted odds ratio =  1.17, 95% confidence interval: 1.11-1.23). Subgroup analyses based on paroxysmal vs persistent AF, presence of obesity, and history of prior ablation were performed. Percent change in weight over the year before ablation was independently associated with FFAF in all subgroups except nonobese patients with persistent AF.

conclusionPre-ablation weight loss was associated with FFAF in both obese and nonobese patients. Further studies are needed to define the optimal approach to weight loss before AF ablation.

Indexed as

Atrial FibrillationCatheter AblationCryosurgeryPulmonary VeinsAgedFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesTreatment OutcomeWeight Lossatrial fibrillationcatheter ablationcryoballoonpulmonary vein isolationweight loss

Identifiers

PMID34191371
PMCPMC9305992
OpenAlexW3176091594

What OpenQuestion holds

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Registered trials

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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.