Evidence map›Paper›PMID 35138653›Full record

ArticleEquine veterinary journal2022

Validation of an equine fitness tracker: ECG quality and arrhythmia detection.

Fe Ter Woort, Guillaume Dubois, Grace Tansley, Marie Didier, Lidwien Verdegaal, Samantha Franklin, Emmanuelle Van Erck-Westergren

Abstract read
In one paragraph

Article in Equine veterinary journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Fe Ter WoortEquine Sports Medicine Practice, 83 avenue Beau Sejour, 1410, Waterloo, Belgium.ORCID https://orcid.org/0000-0002-4128-5474
Guillaume DuboisArioneo, 6 rue Claude Farrère, 75016, Paris, France.
Grace TansleyEquine Health and Performance Center, University of Adelaide, Roseworthy Campus, South Australia, 5371, Australia.
Marie DidierArioneo, 6 rue Claude Farrère, 75016, Paris, France.
Lidwien VerdegaalEquine Health and Performance Center, University of Adelaide, Roseworthy Campus, South Australia, 5371, Australia.
Samantha FranklinEquine Health and Performance Center, University of Adelaide, Roseworthy Campus, South Australia, 5371, Australia.ORCID https://orcid.org/0000-0002-6761-5371
Emmanuelle Van Erck-WestergrenEquine Sports Medicine Practice, 83 avenue Beau Sejour, 1410, Waterloo, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac arrhythmias in exercising horses are the focus of much interest, both in terms of what is considered normal and potential associations with poor performance and sudden cardiac death. One barrier to performing large-scale studies is the lack of an easily applicable device, to allow recording of large numbers of high-quality exercising electrocardiograms (ECGs). The Equimetre

objectivesTo evaluate the quality of ECG using the Equimetre STUDY

designProspective blinded clinical study.

methodsSimultaneous ECGs were recorded with both systems in 49 healthy horses during exercise. High intensity exercise (>40km/h) was performed by 29 racehorses, and lower intensity exercise for the remainder of the racehorses and show jumpers. Tracings were excluded if >10% artefact was present (duration of artefact relative to duration of exercise). For included ECGs, the duration of artefact was recorded and compared. ECGs were evaluated using Kubios premium software. Arrhythmia detection (yes/no) and arrhythmia classification (sinus arrhythmia, narrow complex of similar morphology to the sinus complexes or wide complex with a different morphology) were compared using Cohen's Kappa coefficient.

resultsNine Televet MAIN LIMITATIONS: Relatively low numbers of horses with arrhythmias (n=21) were included. The ECG recordings only provided one lead, making arrhythmia classification challenging in some cases.

conclusionsThe Equimetre device provides a reliable ECG for arrhythmia detection during exercise. This system may be useful clinically and for future large-scale investigations into the occurrence and significance of exercising arrhythmias.

Indexed as

arrhythmiaexercisehorse

Identifiers

PMID35138653
PMCPMC10078706

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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.