Evidence map›Paper›PMID 41209126›Full record

ArticleReviews in cardiovascular medicine2025

Long-Term Efficacy of Catheter Ablation for Atrial Fibrillation in Different Phenotypes of Hypertrophic Cardiomyopathy.

Wei Du, Xinguang Chen, Yan Dong, Qiushi Chen, Nishant Yadav, Fengxiang Zhang

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Wei DuDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-2903-9203
Xinguang ChenDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-9206-4145
Yan DongDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.
Qiushi ChenDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.
Nishant YadavDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.
Fengxiang ZhangDivision of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 210029 Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-0125-3926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation catheter ablation (AFCA) success rates vary across different phenotypes of hypertrophic cardiomyopathy (HCM). Therefore, we compared long-term outcomes between apical (aHCM) and septal (sHCM) subtypes of HCM. Methods: This retrospective study analyzed patients with HCM who underwent AFCA at the First Affiliated Hospital of Nanjing Medical University between January 2010 and December 2020. Results: A total of 36 patients with aHCM and 80 patients with sHCM were enrolled. During a median follow-up of 42 months (interquartile range (IQR) 18-83), the overall atrial tachyarrhythmia (ATa) recurrence rate after a single ablation was 42.2% (49/116). The aHCM patients had a higher ATa recurrence rate than the sHCM patients (58.3% vs. 35.0%; χ Conclusions: An aHCM subtype predicts higher ATa recurrence after a single ablation versus sHCM. Hypertension, a left atrial enlargement ≥45 mm, and no AAD use are independent predictors of recurrence. Meanwhile, optimizing blood pressure and AAD therapy may improve outcomes.

Indexed as

apical hypertrophic cardiomyopathyatrial fibrillationcatheter ablationrecurrenceseptal hypertrophic cardiomyopathy

Identifiers

PMID41209126
PMCPMC12593795

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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.