Evidence map›Paper›PMID 41149262›Full record

ReviewJournal of cardiovascular development and disease2025

Impact of Atrial Fibrillation on the Outcome of Patients with Brugada Syndrome: A Meta-Analysis.

Max Aboutorabi, Mahmood Ahmad, Jonathan J H Bray, Daniel A Gomes, Rui Providencia

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 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. Article
  2. 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

5 authors.

Max AboutorabiUniversity College London Medical School, Faculty of Medical Sciences, University College London, 74 Huntley St, London WC1E 6DE, UK.
Mahmood AhmadDepartment of Cardiology, Royal Free Hospital, Pond Street, London NW3 2QG, UK.
Jonathan J H BrayInstitute of Life Sciences 2, Swansea Bay University Health Board and Swansea University Medical School, Swansea SA2 8PP, UK.ORCID 0000-0003-1167-6295
Daniel A GomesDepartment of Cardiology, Hospital De Santa Cruz, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Carnaxide, Portugal.ORCID 0000-0002-6894-648X
Rui ProvidenciaInstitute of Health Informatics Research, University College London, 222 Euston Road, London NW1 2DA, UK.ORCID 0000-0001-9141-9883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtrial fibrillation (AF) is common in patients with Brugada syndrome (BrS). The impact and significance of AF in this patient population needs to be further clarified.

methodWe performed a systematic review and meta-analysis of studies comparing the risks of developing major arrhythmic events (MAEs) in patients with BrS with and without AF. Databases including MEDLINE, Embase, and Cochrane CENTRAL were searched from inception to July 2024, using appropriate search and MeSH terms. Data were sought on the comparison of patients with BrS with and without AF. The protocol was specified prior to the searches being performed, and standard meta-analytic techniques were used.

resultsThirteen observational studies were included (a total of 5413 patients). A significant increase in MAEs was observed in patients with both BrS and AF (20.6% vs. 7.8%; OR 2.81, 95% CI 1.82-4.34;

conclusionsPatients with both BrS and AF seem to have a more severe disease phenotype. More research into the added role of AF in risk stratification of asymptomatic BrS patients is needed, but the prognostic implications of AF may need to be considered when developing future personalised medicine approaches in the BrS population.

Indexed as

atrial fibrillationBrugada syndromemajor arrhythmic event

Identifiers

PMID41149262
PMCPMC12564495

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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.