Evidence map›Paper›PMID 41588550›Full record

ArticleArthritis research & therapy2026

Influence of major trauma and lower limb loss on radiographic progression and incidence of knee osteoarthritis and pain: a comparative and predictive analysis from the ADVANCE study.

Oliver O'Sullivan, Fraje Watson, Anthony M J Bull, Susie Schofield, Emma C Coady, Christopher J Boos, Paul Cullinan, Nicola T Fear, Stefan Kluzek, Alexander N Bennett and 1 more

Abstract readComparative Study
In one paragraph

Article in Arthritis research & therapy, 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. Review
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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

11 authors.

Oliver O'Sullivan *Academic Department of Military Rehabilitation (ADMR), Defence Medical Rehabilitation Centre (DMRC), Stanford Hall, Loughborough, UK. oliver_osullivan@hotmail.com.ORCID http://orcid.org/0000-0002-9184-4713
Fraje Watson *Department of Bioengineering, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3716-9267
Anthony M J BullCentre for Blast Injury Studies, Department of Bioengineering, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-4473-8264
Susie SchofieldNational Heart and Lung Institute, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-3135-9783
Emma C CoadyAcademic Department of Military Rehabilitation (ADMR), Defence Medical Rehabilitation Centre (DMRC), Stanford Hall, Loughborough, UK.ORCID http://orcid.org/0000-0001-9054-4121
Christopher J BoosAcademic Department of Military Rehabilitation (ADMR), Defence Medical Rehabilitation Centre (DMRC), Stanford Hall, Loughborough, UK.ORCID http://orcid.org/0000-0002-3381-5068
Paul CullinanNational Heart and Lung Institute, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-9314-6468
Nicola T FearAcademic Department of Military Mental Health, King's College London, London, UK.ORCID http://orcid.org/0000-0002-5792-2925
Stefan KluzekAcademic Unit of Injury, Recovery and Inflammation Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-0696-7541
Alexander N Bennett *Academic Department of Military Rehabilitation (ADMR), Defence Medical Rehabilitation Centre (DMRC), Stanford Hall, Loughborough, UK.ORCID http://orcid.org/0000-0003-2985-5304
Ana M Valdes *Nottingham NIHR Biomedical Research Centre, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0003-1141-4471

Funding

Ministry of Defence 2122.030Versus Arthritis 21076
6 · The paper itself

Abstract

objectiveKnee osteoarthritis (OA) is a leading cause of disability globally, with previous injury a key risk factor. This study investigates the relationship between the risk of progression and incidence of knee radiographic OA (rOA) and pain (KP) with major traumatic injury and identify potential predictors for rOA and KP.

designThe longitudinal ADVANCE cohort study observes UK male military personnel, n=579 sustained combat-injury and n=565 uninjured, frequency-matched for age, rank, role, service, and deployment, in Afghanistan (2003-2014). Participants had bilateral radiographs (unless amputated), pain questionnaires, six-minute walk-tests, and serum collected, 8- and 11-years post-injury (Baseline and Follow-up). We compared rates and risk of rOA and KP incidence and progression and assessed the performance of twenty potential demographic, joint-specific and molecular predictors.

resultsKnee rOA and KP incidence and progression rates increased between Baseline and Follow-up. rOA progression did not differ between trauma-exposed and unexposed groups; however, KP progression increased for those sustaining a specific knee injury (IRR:2.53, 95% CI:1.08-5.92. Increased rOA incidence was seen in those with lower-limb loss (IRR:1.98, 95% CI:1.21-2.95), and KP incidence in trauma-exposed participants with no limb-loss or knee injury (IRR:1.45, 95% CI:1.05-2.01). No predictive model explained a large proportion of variance for rOA or KP incidence or progression.

conclusionsOur results are consistent with a short post-injury window of increased rOA incidence, followed by a plateau. Comparatively, individuals with lower-limb loss experience a similar increase due to trauma, and then continue a steeper decline in joint-health due to altered joint biomechanics and mechanoinflammation.

Indexed as

Osteoarthritis, KneePainAdultDisease ProgressionHumansIncidenceLongitudinal StudiesMaleMilitary PersonnelRadiographyUnited KingdomADVANCEIncidenceLongitudinalPainPrediction traumaProgressionSerum biomarkers

Identifiers

PMID41588550
PMCPMC12918490

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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.