Evidence map›Paper›PMID 38045439›Full record

ArticleEuropean heart journal. Digital health2023

Smartphone-based atrial fibrillation screening in the general population: feasibility and impact on medical treatment.

Henri Gruwez, Frederik H Verbrugge, Tine Proesmans, Stijn Evens, Peter Vanacker, Matthieu Pierre Rutgers, Geert Vanhooren, Philippe Bertrand, Laurent Pison, Peter Haemers and 2 more

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  5. External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO 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 · 2025
    Article
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  7. Review
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  12. Validation of a novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics: the SMARTBEATS 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
  13. Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.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.

Henri GruwezBiomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-9169-265X
Frederik H VerbruggeBiomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Tine ProesmansQompium NV, Hasselt, Belgium.
Stijn EvensQompium NV, Hasselt, Belgium.
Peter VanackerDepartment of Neurology, Antwerp University Hospital and Antwerp University, Antwerp, Belgium.
Matthieu Pierre RutgersDepartment of Neurology, Clinique de l'Europe, Brussels, Belgium.
Geert VanhoorenDepartment of Neurology, Sint-Jan Hospital Brugge-Oostende, Bruges, Belgium.
Philippe BertrandBiomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Laurent PisonBiomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-8518-3330
Peter HaemersDepartment of Cardiovascular Sciences, Catholic University Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3024-1281
Pieter VandervoortBiomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Dieter NuyensDepartment of Cardiology, Hospital East-Limburg, Genk, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The aim of this study is to determine the feasibility, detection rate, and therapeutic implications of large-scale smartphone-based screening for atrial fibrillation (AF). Methods and results: Subjects from the general population in Belgium were recruited through a media campaign to perform AF screening during 8 consecutive days with a smartphone application. The application analyses photoplethysmography traces with artificial intelligence and offline validation of suspected signals to detect AF. The impact of AF screening on medical therapy was measured through questionnaires. Atrial fibrillation was detected in the screened population ( Conclusion: Smartphone-based AF screening is feasible at large scale. Screening increased OAC uptake and impacted therapy of both new and previously diagnosed clinical AF but failed to impact risk factor management in subjects with subclinical AF.

Indexed as

Atrial fibrillationDigital healthPhotoplethysmographyScreeningStroke

Identifiers

PMID38045439
PMCPMC10689910

What OpenQuestion holds

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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.