Evidence map›Paper›PMID 41022448›Full record

ArticleBMJ open2025

Cohort profile: trajectory of knee health in runners with and without heightened osteoarthritis risk (TRAIL) in Australia-prospective cohort study.

Danilo De Oliveira Silva, Benjamin F Mentiplay, Michael Girdwood, Melissa J Haberfield, Andrea M Bruder, Adam G Culvenor, Thomas J West, Joshua P Hill, David L Carey, Richard T R Johnston and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Danilo De Oliveira SilvaLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia D.DeOliveiraSilva@latrobe.edu.au.ORCID http://orcid.org/0000-0003-0753-2432
Benjamin F MentiplayLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-4360-8310
Michael GirdwoodLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.
Melissa J HaberfieldLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.
Andrea M BruderLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-5422-5756
Adam G CulvenorLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-9491-0264
Thomas J WestLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.
Joshua P HillLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.
David L CareyLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.
Richard T R JohnstonLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-0090-6991
Kay M CrossleyLa Trobe Sports and Exercise Medicine Research Centre, La Trobe University - Bundoora Campus, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe TRAjectory of knee heaLth in runners (TRAIL) study is a prospective cohort study investigating the long-term knee health trajectories of runners with and without a heightened osteoarthritis risk. This study aims to describe the recruitment results and baseline characteristics of the TRAIL cohort.

participantsRunners aged 18-50 years and running ≥3 times and ≥10 km per week on average in the past 6 months were eligible. Participants were recruited via running podcasts, running clubs and social media between July 2020 and August 2023. Data were collected at study enrolment and at a face-to-face baseline testing session, which occurred a median of 33 weeks (IQR 18 to 86 weeks) after enrolment. Follow-up data collection is ongoing. FINDINGS TO DATE: Out of 462 runners who completed an online registration form, 268 runners enrolled, of which 135 had a history of knee surgery (46% females) and 133 were non-surgical controls (50% females). 60% of the surgery group had undergone anterior cruciate ligament reconstruction, 33% meniscus and/or cartilage surgery, and 7% other knee surgery. 54 participants previously enrolled were unable to continue in the study before attending baseline data collection. Of the 214 runners who remained in the study and attended baseline data collection, 108 had a history of knee surgery (49% females) and 106 did not have a history of knee surgery (51% females). FUTURE PLANS: Participants will be followed for 10 years through ongoing patient-reported outcomes and continuous monitoring of training loads using wearable devices. At baseline, 4- and 10-year follow-up, knee MRI and knee-health patient-reported outcomes will be collected to evaluate structural and symptomatic knee osteoarthritis progression. Data will inform guidelines for safe running practices and rehabilitation post-knee surgery.

Indexed as

Knee JointOsteoarthritis, KneeRunningAdolescentAdultAustraliaFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsYoung AdultGait AnalysisKneeMagnetic Resonance ImagingObservational StudyOrthopaedic sports traumaSPORTS MEDICINE

Identifiers

PMID41022448
PMCPMC12481359

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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.