Evidence map›Paper›PMID 41243239›Full record

ArticleEquine veterinary journal2026

Agreement between veterinarians and three objective evaluation systems in naturally occurring equine lameness.

Jenna L McPeek, Bruno Menarim, Beatrice Sponseller, Margaret McClendon, Emma N Adam, Amanda A Adams, Stacy Slone, Allen E Page

Abstract read
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Article in Equine veterinary journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jenna L McPeekMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.
Bruno MenarimMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.ORCID https://orcid.org/0000-0003-1829-4978
Beatrice SponsellerMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.
Margaret McClendonMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.
Emma N AdamMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.ORCID https://orcid.org/0000-0002-0777-0708
Amanda A AdamsMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.
Stacy SloneDepartment of Statistics, University of Kentucky, Lexington, Kentucky, USA.
Allen E PageMaxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky, USA.ORCID https://orcid.org/0000-0001-6023-9230

Funding

U.S. Department of Agriculture 58-5042-1-003
6 · The paper itself

Abstract

backgroundSubjective lameness evaluations are critical components of equine musculoskeletal health assessments. Objective approaches can supplement diagnosis and may be preferred for specific cases and scientific purposes.

objectivesEvaluate agreements between subjective evaluation of two veterinarians and standard clinical interpretations from outputs of an AI-based smartphone application (Sleip; AI-SPA), the inertial measurement unit (IMU) system Equinosis Q Lameness Locator (LL), and the IMU system Equisym (ES). STUDY

designIn vivo experiment.

methodsTwenty-five research horses (10-30 years) were evaluated on a straight-line trot. Limbs were independently graded and converted to an ordinal scale that, for objective systems, were converted from system-specific data outputs. Default settings and outputs for AI-SPA and LL were utilised to grade lameness while a manual process was developed for the ES. Pairwise agreement was calculated via weighted Cohen's κ, and agreement across rater types was calculated via Gwet's Agreement Coefficient 2 (GA2).

resultsObjective evaluator agreement (GA2 = 0.84, 95% Confidence Interval (CI): 0.77-0.91) was higher than subjective evaluator agreement (GA2 = 0.73, 95% CI: 0.63-0.83) across all limbs. For all five evaluators/systems, overall forelimb agreement (GA2 = 0.82, 95% CI: 0.69-0.95) was greater than overall hindlimb agreement (GA2 = 0.73, 95% CI: 0.59-0.87). Pairwise agreement scores between the objective systems were often higher than those involving veterinary evaluators. The ES system often produced the highest agreement when compared with each rater individually. MAIN LIMITATIONS: Horses were evaluated on a straight line only. Lameness diagnosis was limited to visual observation. Outcomes for each horse's four limbs were considered independent measurements.

conclusionsThis work highlights the utility of commercially available objective evaluation systems, including the more recent ES system. Hindlimb asymmetries had lower agreement regardless of evaluator type. Objective systems had higher agreements when compared with subjective straight-line veterinary examination. The ability to uniformly assess asymmetries may assist diagnosis when compared with subjective evaluation alone.

Indexed as

Horse DiseasesLameness, AnimalVeterinariansAnimalsFemaleHorsesMaleObserver VariationhorseIMUinertial sensorssubjectivewithers

Identifiers

PMID41243239
PMCPMC13447877

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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.