Evidence map›Paper›PMID 41112224›Full record

ArticleFrontiers in cardiovascular medicine2025

Recurrence of atrial fibrillation after cardiac surgery: long-term evidence from cardiac devices.

Tim Swinn, Marius Pezard-Snell, Lauren Brain, Gerasimos Dimitropoulos, Amardeep Dastidar, Eva Sammut, Palash Barman

Abstract read
In one paragraph

Article in Frontiers 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

7 authors.

Tim SwinnDepartment of Cardiology, North Bristol NHS Trust, Bristol, United Kingdom.
Marius Pezard-SnellDepartment of Cardiology, Bristol Heart Institute, Bristol, United Kingdom.
Lauren BrainDepartment of Anaesthetics, Royal United Hospitals, Bath, United Kingdom.
Gerasimos DimitropoulosDepartment of Cardiology, Royal Devon & Exeter NHS Trust, Exeter, United Kingdom.
Amardeep DastidarDepartment of Cardiology, North Bristol NHS Trust, Bristol, United Kingdom.
Eva SammutSchool of Medicine, University of Bristol, Bristol, United Kingdom.
Palash BarmanDepartment of Cardiology, Bristol Heart Institute, Bristol, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Atrial fibrillation (AF) after cardiac surgery occurs in 20%-40% of cases and is associated with significant morbidity. Studies have shown an association with immediate postoperative AF (POAF) and recurrent AF; however, to our knowledge, no trials have used continuous electrogram monitoring data from cardiac devices (pacemakers or defibrillators) to assess the rate of long-term AF recurrence. Methods: Using institutional databases, we identified patients with a cardiac device who underwent coronary artery bypass grafting (CABG) and/or a procedure on their aortic valve (AV) or mitral valve (MV) between January 2011 and March 2020. POAF and comorbidities were assessed using the electronic patient record, and recurrent device-detected AF was defined as any episode of AF lasting >6 min on device check between 6 weeks and 18 months postoperatively. Results: POAF was associated with recurrent device-detected AF ( Discussion: Postoperative is associated with a threefold greater odds of developing recurrent device-detected AF: it is not a simple transient phenomenon. Larger prospective studies are required to identify which patients would benefit from heart rhythm surveillance and whether OAC is an effective treatment in this patient group.

Indexed as

AFatrial fibrillationcardiac surgerydevice-detected AFsubclinical

Identifiers

PMID41112224
PMCPMC12531181

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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.