Evidence map›Paper›PMID 37323996›Full record

ArticleHeart rhythm O22023

Effect of gender on atrial fibrillation ablation outcomes using a propensity score-matched analysis.

Mohammed Al-Sadawi, Faisal Aslam, Chad Gier, Saadat Aleem, Hina Ijaz, Robin Jacobs, Kerry Cao, Mahmoud Alsaiqali, Abhijeet Singh

Abstract read
In one paragraph

Article in Heart rhythm O2, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
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

9 authors.

Mohammed Al-SadawiCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Faisal AslamCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Chad GierCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Saadat AleemCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Hina IjazCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Robin JacobsCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Kerry CaoCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.
Mahmoud AlsaiqaliDepartment of Medicine, SUNY Downstate Medical Center, Brooklyn, New York.
Abhijeet SinghCardiovascular Department, Stony Brook Medicine, Stony Brook, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have shown that women with atrial fibrillation (AF) have a higher incidence of recurrence and non-pulmonary vein (non-PV) triggers. However, there remains an incomplete understanding of the impact of gender on AF ablation strategies and outcomes. Objective: The purpose of this study was to evaluate the impact of gender on AF ablation outcomes. Methods: We analyzed 1568 AF ablations in 1412 patients (34% female) performed at a single tertiary care center between January 2013 and July 2021. Patients were followed for at least 6 months (mean 34 months) for detection of AF recurrence, complications, and emergency department visits/hospitalizations. The effect was assessed by multivariate logistic regression analysis using propensity score matching (PSM). Results: Mean age was 64 years, and mean body mass index (BMI) was 31 kg/m Conclusion: There was no difference in overall safety or efficacy outcomes between genders after AF ablation.

Indexed as

AblationAtrial fibrillationGenderOutcomesPropensity score matchedSex

Identifiers

PMID37323996
PMCPMC10264256

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.