Evidence map›Paper›PMID 40913481›Full record

ReviewEquine veterinary journal2026

Technologies for equine welfare and performance monitoring under field conditions - Where do we stand?

Rhana Mackie Aarts, Esther W Siegers, Filipe M Serra Braganca, P René van Weeren

Abstract readReview
In one paragraph

Review 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 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. Review
  3. Article
  4. Article
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

4 authors.

Rhana Mackie AartsDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0009-0000-9058-465X
Esther W SiegersDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-6492-0488
Filipe M Serra BragancaDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-8514-7949
P René van WeerenDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-6654-1817

Funding

Eurostars E!114697
6 · The paper itself

Abstract

The need for comprehensive equine welfare assessments has become particularly evident amid ongoing debates about the social licence to operate in equestrian sports. During exercise, multiple physiological systems, principally the cardiovascular, respiratory, muscular, thermoregulatory, endocrine, and locomotory systems, undergo complex adaptations. To monitor and determine equine welfare, an approach that focuses on the quantitative monitoring of both physiological and psychological parameters to determine and understand the impact of equestrian sports on horses is essential. Existing and emerging technologies that allow for the quantitative assessment of such parameters have developed rapidly over the past two decades and have increasingly enabled precise monitoring of horses, though the available tools vary depending on the parameter of interest. This review explores current technologies for measuring parameters associated with these physiological systems and their practical applications in assessing equine well-being. The focus lies on validated technologies for which accuracy and precision have been determined. The aim of this review is to present an overview of current technologies available for the measurement of both physiological and psychological parameters in horses during exercise and to what extent they can be used under field conditions. The review concludes by discussing promising innovations that, while still in early development, could significantly contribute to equine welfare and the broader social licence to operate debate.

Indexed as

Animal WelfarePhysical Conditioning, AnimalAnimalsHorsesMonitoring, Physiologicartificial intelligencehorsemental healthphysical healthsensortraining

Identifiers

PMID40913481
PMCPMC13244195

What OpenQuestion holds

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LicenceCC BY-NC
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.