ArticleAnimals : an open access journal from MDPI2025
Short-Term Impact of Dry Needling Treatment for Myofascial Pain on Equine Biomechanics Through Artificial Intelligence-Based Gait Analysis.
Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- A multimodal approach to equine thoracolumbar myofascial pain: integrating clinical examination, AI-based gait analysis, and the ridden horse pain ethogram.BMC veterinary research · 2026Article
- Myofascial trigger points as a primary cause of equine lameness: a biomechanical, neurophysiological, and fascial review.Frontiers in veterinary science · 2026Review
- Clinical Effectiveness of Dry Needling on Myofascial Trigger Points in Horses: A Prospective Algometric Controlled Study.Animals : an open access journal from MDPI · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myofascial pain syndrome (MPS) is a common source of musculoskeletal pain, characterized by trigger points (TrPs). In horses, MPS is frequently underdiagnosed, and evidence on DN effectiveness is limited. This study investigated whether DN can improve the biomechanics in horses using an artificial intelligence (AI)-based markerless smartphone application (app). Fourteen horses participated, including nine used in assisted therapy, four leisure horses, and one with mixed use. The presence of TrPs was evaluated in six muscles through manual palpation: brachiocephalicus, trapezius, gluteus medius, biceps femoris, semitendinosus, and quadriceps femoris. The horses were divided into a treatment group (TG) (
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Registered trials
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