Evidence map›Paper›PMID 42840916›Full record

ArticleRoyal Society open science2026

Balancing training load, rest and musculoskeletal injury risk: a mathematical modelling study in Thoroughbred racehorses.

Md Nurul Anwar, Michael Pan, Ashleigh V Morrice-West, Fatemeh Malekipour, Peter Pivonka, Jennifer A Flegg, R Chris Whitton, Peta L Hitchens

Abstract read
In one paragraph

Article in Royal Society open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Md Nurul AnwarEquine Centre, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, Victoria, Australia.ORCID https://orcid.org/0000-0002-8302-1266
Michael PanEquine Centre, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, Victoria, Australia.ORCID https://orcid.org/0000-0002-8978-7350
Ashleigh V Morrice-WestEquine Centre, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, Victoria, Australia.ORCID https://orcid.org/0000-0003-2776-4273
Fatemeh MalekipourDepartment of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0003-2415-0778
Peter PivonkaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-9183-530X
Jennifer A FleggSchool of Mathematics and Statistics, Faculty of Science, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0002-8809-726X
R Chris WhittonEquine Centre, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, Victoria, Australia.ORCID https://orcid.org/0000-0003-0012-4065
Peta L HitchensEquine Centre, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, Victoria, Australia.ORCID https://orcid.org/0000-0002-7528-7056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal injuries (MSI) in Thoroughbred racehorses are a leading cause of death and premature retirement, and are heavily influenced by training practices. Greater distances of high-speed galloping accumulated during racing campaigns are associated with MSI. Bone injury is the most common MSI, and understanding how training practices influence bone damage accumulation is critical for improving both horse welfare and racing outcomes. This study builds on an existing mathematical model of bone adaptation and damage to investigate the impact of different training programmes on bone injury risk. Several training programmes (three progressive, four race-fit, six rest programmes and two with rest replaced by low-intensity training) were constructed to reflect representative practices undertaken by professional trainers in Victoria, Australia. Training programmes varied in training volume, rest frequency and programme duration. Lower-volume training programmes that included high-speed training achieved sufficient bone adaptation with less accumulation of bone damage, and subsequently lower risk of bone failure. In addition, incorporating more frequent rests (minimum of two per year) and/or longer rest periods (minimum of six weeks) reduced bone damage owing to the extended opportunity to remove and repair bone damage. These results provide an

Indexed as

bone adaptationbone damagebone remodellingbone repairmathematical modellingtraining programmeworkload

Identifiers

PMID42840916
PMCPMC13641913

What OpenQuestion holds

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Registered trials

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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.