Evidence map›Paper›PMID 35434508›Full record

ArticleEuropean heart journal. Case reports2022

Use of a smartphone electrocardiogram to diagnose arrhythmias during exercise in athletes: a case series.

Jacob L Jewson, John W Orchard, Chris Semsarian, Jane Fitzpatrick, Andre La Gerche, Jessica J Orchard

Open access · goldAbstract readCase Reports
In one paragraph

Article in European heart journal. Case reports, 2022. 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
3.0field-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.

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, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Atrial Fibrillation in Elite Athletes: A Comprehensive Review of the Literature.Journal of cardiovascular development and disease · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. [Atrial fibrillation in athletes : Prevalence, diagnosis, and treatment].Herzschrittmachertherapie & Elektrophysiologie · 2023
    Review
  9. 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

6 authors at 4 institutions in 1 country.

Jacob L JewsonOlympic Park Sports Medicine Centre, 60 Olympic Bvd, 3004, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0003-2881-3583
John W OrchardSchool of Public Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-3530-1711
Chris SemsarianAgnes Ginges Centre for Molecular Cardiology at Centenary Institute, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-6441-274X
Jane FitzpatrickFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9578-026X
Andre La GercheClinical Research Domain, Baker Heart and Diabetes Institute, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3906-3784
Jessica J OrchardAgnes Ginges Centre for Molecular Cardiology at Centenary Institute, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-5702-7277
The University of Sydney · AUBaker Heart and Diabetes Institute · AUOlympic Park Sports Medicine Centre · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While athletes are generally very fit, intense exercise can increase the risk of atrial fibrillation. Moreover, other arrhythmias such as atrial flutter or supraventricular tachycardia can cause distressing, exercise-related symptoms. Given symptoms are infrequent and may occur during intense exertion, traditional monitoring devices are often impractical to use during exercise. Smartphone electrocardiograms (ECGs) such as the Alivecor Kardia device may be the portable and reliable tool required to help identify arrhythmias in this challenging population. This case series highlights the use of such devices in aiding the diagnosis of arrhythmias in the setting of exercise-related symptoms in athletes. Case summary: The six cases in this series included one elite non-endurance athlete, two elite cricketers, one amateur middle-distance runner, and two semi-elite ultra-endurance runners, with an age range of 16-48 years. An accurate diagnosis of an arrhythmia was obtained in five cases (atrial fibrillation/flutter and supraventricular tachycardias) using the smartphone ECG, which helped guide definitive treatment. No arrhythmia was identified in the final case despite using the device during multiple symptomatic events. Discussion: The smartphone ECG was able to accurately detect arrhythmias and provide a diagnosis in cases where traditional monitoring had not. The utility of detecting

Indexed as

ArrhythmiasAtrial fibrillationCase seriesMonitoringSmartphonesSports cardiology

Identifiers

PMID35434508
PMCPMC9007431
OpenAlexW4220679482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.