Evidence map›Paper›PMID 42774567›Full record

ArticleTranslational sports medicine2026

Developing Clinically Relevant Cut-Off Values for Trunk Muscle Size in Relation to Lower Limb Injuries in AFL Players.

Clint Frazer, M Dilani Mendis, Peter Blanch, Brittany Grantham, Julie A Hides

Abstract read
In one paragraph

Article in Translational sports medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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

5 authors.

Clint FrazerGreater Western Sydney Australian Football Club, 1 Olympic Blvd Sydney Olympic Park, Sydney 2127, Australia.ORCID https://orcid.org/0000-0002-3482-6463
M Dilani MendisSchool of Allied Health, Sport and Social Work, Griffith University, Nathan Campus Nathan, Brisbane 4111, Queensland, Australia, health.qld.gov.au.ORCID https://orcid.org/0000-0002-0533-2587
Peter BlanchSchool of Allied Health, Sport and Social Work, Griffith University, Nathan Campus Nathan, Brisbane 4111, Queensland, Australia, health.qld.gov.au.ORCID https://orcid.org/0000-0002-1700-680X
Brittany GranthamSchool of Allied Health, Sport and Social Work, Griffith University, Nathan Campus Nathan, Brisbane 4111, Queensland, Australia, health.qld.gov.au.
Julie A HidesSchool of Allied Health, Sport and Social Work, Griffith University, Nathan Campus Nathan, Brisbane 4111, Queensland, Australia, health.qld.gov.au.ORCID https://orcid.org/0000-0002-1830-8121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship between trunk muscle morphology and lower limb injury risk in elite Australian Football League (AFL) players and to explore clinically interpretable cut-off values for injury risk stratification. Design: Prospective cohort study. Method: Participants included 43 athletes from one professional AFL team (mean age 23.9 years, height 190 cm, mass 90.2 kg). Preseason ultrasound imaging was used to assess trunk muscle size and function, including cross-sectional area (CSA) of the lumbar multifidus and quadratus lumborum (QL) and thickness of the transversus abdominis (TrA) and internal oblique (IO). Players were monitored over a full playing season for lower limb injuries resulting in games missed. Group comparisons and unadjusted logistic regression analyses were performed. Receiver operating characteristic (ROC) analyses were used to explore potential cut-off values. Results: Smaller multifidus CSA (L Conclusion: Trunk muscle morphology is associated with lower limb injury risk in elite AFL players. These findings provide preliminary, clinically interpretable cut-off values that may assist in identifying athletes at increased risk; however, these thresholds require validation in larger cohorts. Trunk muscle assessment may support injury-risk screening and guide targeted physiotherapy interventions in applied high-performance settings.

Indexed as

Australian Footballinjurymultifiduspreventionsport

Identifiers

PMID42774567
PMCPMC13594380

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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.