Evidence map›Paper›PMID 39858195›Full record

ArticleAnimals : an open access journal from MDPI2025

Description and Analysis of Horse Swimming Strategies in a U-Shaped Pool.

Pauline Gaulmin, Frédéric Marin, Claire Moiroud, Audrey Beaumont, Sandrine Jacquet, Emeline De Azevedo, Pauline Martin, Fabrice Audigié, Henry Chateau, Chloé Giraudet

Abstract read
In one paragraph

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Pauline GaulminCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.ORCID 0009-0006-6078-8073
Frédéric MarinLaboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France.ORCID 0000-0003-0440-4849
Claire MoiroudCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.ORCID 0000-0002-2807-295X
Audrey BeaumontCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.
Sandrine JacquetCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.ORCID 0000-0002-9609-0690
Emeline De AzevedoCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.
Pauline MartinLIM France, 24300 Nontron, France.ORCID 0000-0002-3571-4244
Fabrice AudigiéCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.
Henry ChateauCentre d'Imagerie et de Recherche sur les Affections Locomotrices Equines (CIRALE), Ecole Nationale Vétérinaire d'Alfort, 94700 Maisons-Alfort, France.ORCID 0000-0002-1977-1521
Chloé GiraudetLaboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France.ORCID 0000-0003-4489-7123

Funding

Agence Nationale de la Recherche au titre de l'appel à projets générique 2020 - Axe "Technologie pour la santé" ANR-20-CE19-0016
6 · The paper itself

Abstract

Aquatic training has been integrated into equine rehabilitation and training programs for several decades. While the cardiovascular effects of this training have been explored in previous studies, limited research exists on the locomotor patterns exhibited during the swimming cycle. This study aimed to analyze three distinct swimming strategies, identified by veterinarians, based on the propulsion phases of each limb: (S1) two-beat cycle with lateral overlap, (S2) two-beat cycle with diagonal overlap, and (S3) four-beat cycle. 125 underwater videos from eleven horses accustomed to swimming were examined to quantify the differences in locomotor patterns between these strategies. Initially, a classifier was developed to categorize 125 video segments into four groups (CatA to CatD). The results demonstrated that these categories correspond to specific swimming strategies, with CatA aligning with S1, CatB with S2, and CatC and CatD representing variations of S3. This classification highlights that two key parameters, lateral and diagonal ratios, are indeed effective in distinguishing between the different swimming strategies. Additionally, coordination patterns were analyzed in relation to these swimming strategies. One of the primary findings is the variability in swimming strategies both within and between individual horses. While five horses consistently maintained the same strategy throughout their swimming sessions, six others exhibited variations in their strategy between laps. This suggests that factors such as swimming direction, pauses between laps, and fatigue may influence the selection of swimming strategy. This study offers new insights into the locomotor patterns of horses during aquatic training and has implications for enhancing the design of rehabilitation protocols.

Indexed as

equine locomotionhorse swimmingmotion capturerehabilitationswimming cycle

Identifiers

PMID39858195
PMCPMC11758662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.