Evidence map›Paper›PMID 38521532›Full record

ArticleBMJ open2024

Prospective validity of a clinical prediction rule for response to non-surgical multidisciplinary management of knee osteoarthritis in tertiary care: a multisite prospective longitudinal study.

Peter Window, Maree Raymer, Steven M McPhail, Bill Vicenzino, Andrew Hislop, Alex Vallini, Bula Elwell, Helen O'Gorman, Ben Phillips, Anneke Wake and 6 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMJ open, 2024. 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. Article
  3. Review
  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

16 authors.

Peter WindowPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia Peter.Window@health.qld.gov.au.ORCID 0000-0002-2681-3101
Maree RaymerPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Steven M McPhailAustralian Centre for Health Services Innovation (AusHSI), Centre for Healthcare Transformation and School of Public Health & Social Work, Faculty of Health, QUT, Brisbane, Queensland, Australia.
Bill VicenzinoThe University of Queensland School of Health and Rehabilitation Sciences, Saint Lucia, Queensland, Australia.ORCID 0000-0003-0253-5933
Andrew HislopThe University of Queensland School of Health and Rehabilitation Sciences, Saint Lucia, Queensland, Australia.
Alex ValliniPhysiotherapy Department, The Prince Charles Hospital, Chermside, Queensland, Australia.
Bula ElwellPhysiotherapy Department, Ipswich Hospital, Ipswich, Queensland, Australia.
Helen O'GormanPhysiotherapy Department, Mater Hospital, South Brisbane, Queensland, Australia.
Ben PhillipsPhysiotherapy Department, Townsville Hospital, Townsville, Queensland, Australia.
Anneke WakePhysiotherapy Department, Townsville Hospital, Townsville, Queensland, Australia.
Adrian CushPhysiotherapy Department, Queen Elizabeth II Hospital, Coopers Plains, Queensland, Australia.
Stuart McCaskillPhysiotherapy Department, Queen Elizabeth II Hospital, Coopers Plains, Queensland, Australia.
Linda GarsdenPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Miriam DillonPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Andrew McLennanPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Shaun O'LearyPhysiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.ORCID 0000-0002-2574-129X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe tested a previously developed clinical prediction tool-a nomogram consisting of four patient measures (lower patient-expected benefit, lower patient-reported knee function, greater knee varus angle and severe medial knee radiological degeneration) that were related to poor response to non-surgical management of knee osteoarthritis. This study sought to prospectively evaluate the predictive validity of this nomogram to identify patients most likely to respond poorly to non-surgical management of knee osteoarthritis.

designMultisite prospective longitudinal study.

settingAdvanced practice physiotherapist-led multidisciplinary service across six tertiary hospitals.

participantsParticipants with knee osteoarthritis deemed appropriate for trial of non-surgical management following an initial assessment from an advanced practice physiotherapist were eligible for inclusion.

interventionsBaseline clinical nomogram scores were collected before a trial of individualised non-surgical management commenced. PRIMARY OUTCOME MEASURE: Clinical outcome (Global Rating of Change) was collected 6 months following commencement of non-surgical management and dichotomised to responder (a little better to a very great deal better) or poor responder (almost the same to a very great deal worse). Clinical nomogram accuracy was evaluated from receiver operating characteristics curve analysis and area under the curve, and sensitivity/specificity and positive/negative likelihood ratios were calculated.

resultsA total of 242 participants enrolled. Follow-up scores were obtained from 210 participants (87% response rate). The clinical nomogram demonstrated an area under the curve of 0.70 (p<0.001), with greatest combined sensitivity 0.65 and specificity 0.64. The positive likelihood ratio was 1.81 (95% CI 1.32 to 2.36) and negative likelihood ratio 0.55 (95% CI 0.41 to 0.75).

conclusionsThe knee osteoarthritis clinical nomogram prediction tool may have capacity to identify patients at risk of poor response to non-surgical management. Further work is required to determine the implications for service delivery, feasibility and impact of implementing the nomogram in clinical practice.

Indexed as

Osteoarthritis, KneeClinical Decision RulesHumansLongitudinal StudiesProspective StudiesTertiary Health CareBone diseasesChronic PainKneeObservational Study

Identifiers

PMID38521532
PMCPMC10961565

What OpenQuestion holds

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LicenceCC BY-NC
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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.