Evidence map›Paper›PMID 36710894›Full record

ArticleEuropean heart journal. Digital health2022

Smartphone and wearable detected atrial arrhythmias in Older Adults: Results of a fully digital European Case finding study.

L Fabritz, D L Connolly, E Czarnecki, D Dudek, E Guasch, D Haase, T Huebner, A Zlahoda-Huzior, K Jolly, P Kirchhof and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in European heart journal. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04579159 (Multicentre, Intern., Inv.-Initiated, Single-arm Case-finding Study of a Cloud Based Analytic Service as Screening Tool to Detect and Quantify Episodes of Absolute Arrhythmia Using an Automated, Wearable PPG-based Monitoring System), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 8% 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.

NCT04579159 nacompletednot on this map

Multicentre, Intern., Inv.-Initiated, Single-arm Case-finding Study of a Cloud Based Analytic Service as Screening Tool to Detect and Quantify Episodes of Absolute Arrhythmia Using an Automated, Wearable PPG-based Monitoring System

TypeinterventionalSponsorAtrial Fibrillation NetworkRan2021 to 2022Enrolled882ConditionsAtrial ArrhythmiaArmsPreventicus heartbeat app in combination with wearables
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. [Everyone over the age of 65 years should wear a smartwatch : Pro and contra].Herzschrittmachertherapie & Elektrophysiologie · 2024
    Review
  6. Review
  7. Longer and better lives for patients with atrial fibrillation: the 9th AFNET/EHRA consensus conference.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
  8. 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
  9. Article
  10. Adopting artificial intelligence in cardiovascular medicine: a scoping review.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  11. Article
  12. Review
  13. Observational
  14. The influence of atrial high-rate episodes on stroke and cardiovascular death: an update.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 · 2023
    Article
  15. 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

17 authors at 8 institutions in 6 countries.

L FabritzUniversity Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20251 Hamburg, Germany.ORCID https://orcid.org/0000-0002-9241-1733
D L ConnollyInstitute of Cardiovascular Sciences, University of Birmingham, Edgbaston Wolfson Drive, B15 2TT Birmingham, UK.ORCID https://orcid.org/0000-0002-5471-133X
E CzarneckiAtrial Fibrillation NETwork (AFNET), Mendelstr 11, 48149 Münster, Germany.
D DudekJagiellonian University Medical College, Center for Digital Medicine and Robotics, Ul. Kopernika 7E, 33-332 Kraków, Poland.
E GuaschInstitut Clínic Cardio-Vascular, Hospital Clínic, University of Barcelona, Carrer de Villaroel, 170, 08036 Barcelona, CA, Spain, Spain.ORCID https://orcid.org/0000-0003-4238-5319
D HaaseAtrial Fibrillation NETwork (AFNET), Mendelstr 11, 48149 Münster, Germany.
T HuebnerPreventicus GmbH, Ernst-Abbe-Straße 15, 07743 Jena, Germany.
A Zlahoda-HuziorDepartment of Measurement and Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.
K JollyInstitute of Applied Health Research, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK.ORCID https://orcid.org/0000-0002-6224-2115
P KirchhofDepartment of Cardiology, University Heart and Vascular Center Hamburg, Martinistr. 52, 20251 Hamburg, Germany.ORCID https://orcid.org/0000-0002-1881-0197
J ObergasselUniversity Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20251 Hamburg, Germany.ORCID https://orcid.org/0000-0002-3905-0203
U SchottenAtrial Fibrillation NETwork (AFNET), Mendelstr 11, 48149 Münster, Germany.ORCID https://orcid.org/0000-0003-1532-3315
E VettorazziInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0002-3737-6402
S J WinkelmannUniversity Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20251 Hamburg, Germany.ORCID https://orcid.org/0000-0002-9156-9264
A ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20246 Hamburg, Germany.ORCID https://orcid.org/0000-0002-8467-0508
R B SchnabelDepartment of Cardiology, University Heart and Vascular Center Hamburg, Martinistr. 52, 20251 Hamburg, Germany.ORCID https://orcid.org/0000-0001-7170-9509
Smart in OAC—AFNET 9 investigators
Universität Hamburg · DEAtrial Fibrillation NETwork · DEAGH University of Krakow · PLBirmingham City Hospital · GBCentro de Investigación en Red en Enfermedades Cardiovasculares · ESJagiellonian University · PLMaastricht University · NLUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Simplified detection of atrial arrhythmias via consumer-electronics would enable earlier therapy in at-risk populations. Whether this is feasible and effective in older populations is not known. Methods and results: The fully remote, investigator-initiated Conclusion: Remote, digitally supported consumer-electronics-based screening is feasible in older European adults and identifies atrial arrhythmias in 5% of participants within 4 weeks of monitoring (NCT04579159).

Indexed as

Atrial arrhythmiaConsumer electronicsDigital trialEarly detectionElderly population

Identifiers

PMID36710894
PMCPMC9779806
OpenAlexW4307854623

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.