What is lameness and what (or who) is the gold standard to detect it?
- Editorial
Summary
This study discusses the definition of lameness in horses and the selection of the gold standard for its detection, exploring the pros and cons of both modern quantitative methods and traditional clinical evaluations. The paper primarily revolves around two issues – what lameness is and who or what should be used to detect it, with the researchers leaning towards a combination of technology and professional judgment for accurate evaluation.
Understanding Lameness and The Gold Standard to Detect It
The paper presents a discussion among veterinarians concerning the method of detecting lameness in horses. Two groups give their arguments:
- The first group, represented by Drs Bathe, Judy, and Dyson, insist that lamineness detection should continue to be guided by experienced clinicians as only they can comprehend the vast array of variables involved in the process. They warn against relying solely on the use of modern gait analysis technology, fundamentally because it is perceived as reducing lameness to only a matter of symmetry asymmetry.
- The other group, consisting of Dr Adair and 38 other vets, who all specialize in lameness assessment, disagree, emphasizing that the new quantitative methods should not and will not replace the clinician but should work as a valuable complementary tool in the diagnostic process. They see this integration as promoting evidence-based veterinary medicine.
However, a significant portion of the debate revolves around the role of technology versus the role of the clinician, diverting from the original subject of the discussion, which was the definition of lameness.
The Controversy over the Implementation of Technology in Lameness Detection
There is an intense struggle between traditional methods and the implementation of modern techniques in assessing equine lameness. While technological progress is inevitable, there’s a continuous need for experienced clinical judgement. As quoted in the paper, “Technology won’t replace vets…but vets who use technology logically and carefully will replace those who don’t.”
The paper recognises the Dunning-Kruger effect, a psychological principle that suggests that inexperienced professionals may initially have unjustifiably high confidence levels that are not indicative of their actual skills. The use of quantitative gait analysis could rationalize this effect by objectively highlighting the clinician’s limitations, promoting realism, and fostering continuous learning in the process.
Defining Lameness in the Context of Quantitative Equine Gait Analysis
While the ins and outs of lameness detection receive substantial attention in this debate, the paper points out that it’s even more crucial to define what constitutes lameness. The term ‘lameness’ holds a negative connotation, generally related to an inability to perform, loss of value, and impaired welfare. If lameness is equated to asymmetry, the assumption is made that perfect symmetry is the normal state and deviations are indicators of lameness.
This has implications for immature horses whose gait may not have matured into symmetry, unfairly categorizing them as lame. In addition, it places pressure on the pursuit of unrealistic perfect symmetry, creating a problematic environment where any small deviation is alarming. Thus, the paper argues against oversimplifying lameness to be identical to asymmetry.
Cite This Article
Publication
Researcher Affiliations
- Department of Equine Sciences, Utrecht University, Utrecht, the Netherlands.
- Department of Clinical Science and Services, The Royal Veterinary College, University of London, Hatfield, UK.
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Clinical Science and Services, The Royal Veterinary College, University of London, Hatfield, UK.
- Equine Department, University of Zurich, Zurich, Switzerland.
MeSH Terms
- Animals
- Horse Diseases / diagnosis
- Horses
- Lameness, Animal / diagnosis
- Movement Disorders / veterinary
Citations
This article has been cited 6 times.- Macaire C, Hanne-Poujade S, De Azevedo E, Denoix JM, Coudry V, Jacquet S, Bertoni L, Tallaj A, Audigié F, Hatrisse C, Hébert C, Martin P, Marin F, Chateau H. Asymmetry Thresholds Reflecting the Visual Assessment of Forelimb Lameness on Circles on a Hard Surface. Animals (Basel) 2023 Oct 25;13(21).
- Bowen AG, Tabor G, Labens R, Randle H. Visually Assessing Equine Quality of Movement: A Survey to Identify Key Movements and Patient-Specific Measures. Animals (Basel) 2023 Sep 5;13(18).
- Feuser AK, Gesell-May S, Müller T, May A. Artificial Intelligence for Lameness Detection in Horses-A Preliminary Study. Animals (Basel) 2022 Oct 17;12(20).
- Marunova E, Dod L, Witte S, Pfau T. Smartphone-Based Pelvic Movement Asymmetry Measures for Clinical Decision Making in Equine Lameness Assessment. Animals (Basel) 2021 Jun 3;11(6).
- Hardeman AM, Egenvall A, Serra Bragança FM, Koene MHW, Swagemakers JH, Roepstorff L, van Weeren R, Byström A. Movement asymmetries in horses presented for prepurchase or lameness examination. Equine Vet J 2022 Mar;54(2):334-346.
- Egan S, Brama P, McGrath D. Irish Equine Industry Stakeholder Perspectives of Objective Technology for Biomechanical Analyses in the Field. Animals (Basel) 2019 Aug 8;9(8).