Evidence map›Paper›PMID 40422939›Full record

ReviewJournal of cardiovascular development and disease2025

Predicting the Outcomes of External Direct Current Cardioversion for Atrial Fibrillation: A Narrative Review of Current Evidence.

Ibrahim Antoun, Georgia R Layton, Ahmed Abdelrazik, Mahmoud Eldesouky, Sherif Altoukhy, Mustafa Zakkar, Riyaz Somani, G André Ng

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Ibrahim AntounDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.ORCID 0000-0002-4374-7476
Georgia R LaytonDepartment of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester LE1 7RH, UK.ORCID 0000-0002-2209-0559
Ahmed AbdelrazikDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.ORCID 0009-0007-5225-1337
Mahmoud EldesoukyDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.ORCID 0009-0000-0317-1428
Sherif AltoukhyDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.
Mustafa ZakkarDepartment of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester LE1 7RH, UK.
Riyaz SomaniDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.ORCID 0000-0001-5162-3644
G André NgDepartment of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE5 4PW, UK.ORCID 0000-0001-5965-0671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common sustained arrhythmia associated with significant morbidity and mortality. External direct current cardioversion (DCCV) is a cornerstone intervention for rhythm control in AF; however, its success is influenced by various patient-specific and procedural factors. This review examines the predictors of DCCV success and AF recurrence with specific focus upon demographics, biochemical, cardiovascular imaging, and P-wave parameters and their likely ability to predict procedural outcomes. Demographic factors such as age, sex, and comorbidities influence DCCV outcomes, with prolonged AF duration, obesity, and heart failure being associated with higher failure rates. Elevated biochemical markers of inflammation and fibrosis, including C-reactive protein, galectin-3, and Type III procollagen-N-peptide, were predictive of poor outcomes. Imaging parameters, particularly left atrial (LA) volume and strain, emerged as critical indicators of atrial remodelling and DCCV failure. Increased P-wave duration and dispersion on electrocardiography were associated with an increased risk of recurrence. Biphasic waveforms and antiarrhythmic drugs, such as amiodarone and flecainide, improved cardioversion success. The predictors of DCCV success and recurrence reflect the interplay of structural, biochemical, and electrical remodelling in AF. Integrating these parameters into clinical practice can guide individualised patient management and improve outcomes. Further research is needed to validate these predictors and enhance precision medicine approaches in DCCV.

Indexed as

atrial fibrillationdirect current cardioversionelectrocardiogramoutcomespredictors

Identifiers

PMID40422939
PMCPMC12112629

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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.