Evidence map›Paper›PMID 42678642›Full record

ArticleVeterinary research communications2026

Electrocardiographic recording in horses at rest: a concordance analysis of two methods.

Isabel Latorre, Tomás Conde, Diana Marteles-Aragüés, Sergio Villanueva-Saz, María Teresa Verde, Antonio Fernández

Abstract read
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Article in Veterinary research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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.

Isabel LatorreVeterinary Clinic "La Almunia-Cariñena", La Almunia de Doña Godina, Zaragoza, 50100, Spain.
Tomás CondeDepartment of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Zaragoza, 50013, Spain.
Diana Marteles-AragüésDepartment of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Zaragoza, 50013, Spain. dmartelesaragues@unizar.es.
Sergio Villanueva-SazDepartment of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Zaragoza, 50013, Spain.
María Teresa VerdeDepartment of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Zaragoza, 50013, Spain.
Antonio FernándezDepartment of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Zaragoza, 50013, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac arrhythmias are frequently detected during routine auscultation in athletic horses. Assessment of their clinical significance requires electrocardiography (ECG) to analyze waveforms and intervals. In recent years, portable ECG devices have been introduced to simplify electrocardiographic examination, offering advantages such as ease of use and the ability to review results via a smartphone. This study evaluated the utility and accuracy of a portable ECG device compared with a standard electrocardiograph. Simultaneous ECG recordings were obtained from 28 healthy adult horses at rest using a portable device (eKuore) and a standard electrocardiograph (Cardioline Vet600). Agreement between the two methods was assessed using Passing-Bablok regression and Bland-Altman analysis. All recordings were independently interpreted by two observers. A significant bias was observed between methods for heart rate, PR interval, and QRS duration, with higher values obtained using the portable device. Two arrhythmias were identified: second-degree atrioventricular block and atrial fibrillation. Agreement for arrhythmia detection was perfect (κ = 1.00), while agreement for heart rhythm classification (bradycardia, normal rhythm, or tachycardia) was good (κ = 0.73). In conclusion, the portable device demonstrated good diagnostic performance for arrhythmia detection during routine clinical examinations. However, further studies are required to establish reference intervals specific to this device.

Indexed as

Arrhythmias, CardiacElectrocardiographyHorse DiseasesAnimalsFemaleHeart RateHorsesMaleArrhythmiasConcordance analysisECGHorsePortable device

Identifiers

PMID42678642
PMCPMC13534159

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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.