Evidence map›Paper›PMID 38411621›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2024

The feasibility of population screening for paroxysmal atrial fibrillation using hand-held electrocardiogram devices.

Jonathan Mant, Rakesh N Modi, Peter Charlton, Andrew Dymond, Efthalia Massou, James Brimicombe, Ben Freedman, Simon J Griffin, F D Richard Hobbs, Gregory Y H Lip and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Population reach and participation rate in opportunistic vs. systematic atrial fibrillation screening: STROKESTOP III.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Trial
  2. Trial
  3. Article
  4. Article
  5. Management of device-detected subclinical atrial fibrillation: a European Heart Rhythm Association survey.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  6. Article
  7. Review
  8. [Everyone over the age of 65 years should wear a smartwatch : Pro and contra].Herzschrittmachertherapie & Elektrophysiologie · 2024
    Review
  9. Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER feasibility study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    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

12 authors at 4 institutions in 3 countries.

Jonathan MantPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-9531-0268
Rakesh N ModiPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0001-9651-6690
Peter CharltonPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0003-3836-8655
Andrew DymondPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0003-0764-3095
Efthalia MassouPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0003-0488-482X
James BrimicombePrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-3443-3256
Ben FreedmanHeart Research Institute, University of Sydney, Room 3114, Level 3 East, D17 - Charles Perkins Centre, Sydney, NSW 2006, Australia.ORCID 0000-0002-3809-2911
Simon J GriffinPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-2157-4797
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK.ORCID 0000-0001-7976-7172
Gregory Y H LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.ORCID 0000-0002-7566-1626
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK.ORCID 0000-0003-3638-028X
Kate WilliamsPrimary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-6188-9363
University of Cambridge · GBUniversity of Oxford · GBThe University of Sydney · AUUniversity of Liverpool · GB

Funding

British Heart Foundation FS/20/20/34626Wellcome Trust
6 · The paper itself

Abstract

aimsThere are few data on the feasibility of population screening for paroxysmal atrial fibrillation (AF) using hand-held electrocardiogram (ECG) devices outside a specialist setting or in people over the age of 75. We investigated the feasibility of screening when conducted without face-to-face contact ('remote') or via in-person appointments in primary care and explored impact of age on screening outcomes. METHODS AND

resultsPeople aged ≥65 years from 13 general practices in England participated in screening during 2019-20. This involved attending a practice nurse appointment (10 practices) or receiving an ECG device by post (three practices). Participants were asked to use a hand-held ECG for 1-4 weeks. Screening outcomes included uptake, quality of ECGs, AF detection rates, and uptake of anticoagulation if AF was detected. Screening was carried out by 2141 (87.5%) of people invited to practice nurse-led screening and by 288 (90.0%) invited to remote screening. At least 56 interpretable ECGs were provided by 98.0% of participants who participated for 3 weeks, with no significant differences by setting or age, except people aged 85 or over (91.1%). Overall, 2.6% (64/2429) screened participants had AF, with detection rising with age (9.2% in people aged 85 or over). A total of 53/64 (82.8%) people with AF commenced anticoagulation. Uptake of anticoagulation did not vary by age.

conclusionPopulation screening for paroxysmal AF is feasible in general practice and without face-to-face contact for all ages over 64 years, including people aged 85 and over.

Indexed as

Atrial FibrillationAnticoagulantsElectrocardiographyFeasibility StudiesHumansMass ScreeningAnticoagulants

Identifiers

PMID38411621
PMCPMC10946414
OpenAlexW4392199880

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.