Evidence map›Paper›PMID 36199051›Full record

Trial reportBMC musculoskeletal disorders2022

Biomechanical markers associations with pain, symptoms, and disability compared to radiographic severity in knee osteoarthritis patients: a secondary analysis from a cluster randomized controlled trial.

Fatima Bensalma, Nicola Hagemeister, Alix Cagnin, Youssef Ouakrim, Nathalie J Bureau, Manon Choinière, Neila Mezghani

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors.

Fatima BensalmaUniversité TÉLUQ, Centre de Recherche LICEF, 5800 Saint-Denis Str., #1105, Montreal, QC, H2S 3L4, Canada.
Nicola HagemeisterÉcole de Technologie Supérieure, Laboratoire de Recherche en Imagerie Et Orthopédie, 900 Saint-Denis Str., R11-430, Montreal, QC, H2X 0A9, Canada.
Alix CagninÉcole de Technologie Supérieure, Laboratoire de Recherche en Imagerie Et Orthopédie, 900 Saint-Denis Str., R11-430, Montreal, QC, H2X 0A9, Canada.
Youssef OuakrimUniversité TÉLUQ, Centre de Recherche LICEF, 5800 Saint-Denis Str., #1105, Montreal, QC, H2S 3L4, Canada.
Nathalie J BureauCentre Hospitalier de L'Université de Montréal, 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
Manon ChoinièreCentre Hospitalier de L'Université de Montréal, 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
Neila MezghaniUniversité TÉLUQ, Centre de Recherche LICEF, 5800 Saint-Denis Str., #1105, Montreal, QC, H2S 3L4, Canada. neila.mezghani@teluq.ca.

Funding

Canada Research Chairs 950-231214Natural Sciences and Engineering Research Council of Canada RDCPJ-544278-19
6 · The paper itself

Abstract

backgroundConventional radiography is commonly used to diagnose knee osteoarthritis (OA), but also to guide clinical decision-making, despite a well-established discordance between radiographic severity and patient symptoms. The incidence and progression of OA is driven, in part, by biomechanical markers. Therefore, these dynamic markers may be a good metric of functional status and actionable targets for clinicians when developing conservative treatment plans. The aim of this study was to assess the associations between biomechanical markers and self-reported knee function compared to radiographic severity.

methodsThis was a secondary analysis of data from a randomized controlled trial (RCT) conducted in primary care clinics with knee OA participants. Correlation coefficients (canonical (ρ) and structural (Corr)) were assessed between the Knee Injury and Osteoarthritis Outcome Score (KOOS) and both, radiographic OA severity using the Kellgren-Lawrence grade, and three-dimensional biomechanical markers quantified by a knee kinesiography exam. Significant differences between coefficients were assessed using Fischer's z-transformation method to compare correlations from dependent samples.

resultsKOOS and biomechanical data were significantly more associated than KOOS and X-ray grading (ρ: 0.41 vs 0.20; p < 0.001). Structural correlation (Corr) between KOOS and X-ray grade was 0.202 (4% of variance explained), while individual biomechanical markers, such as the flexion during loading, explained up to 14% of KOOS variance (i.e., Corr

conclusionsKnee biomechanical markers are associated with patient-reported knee function to a greater extent than X-ray grading, but both provide complementary information in the assessment of OA patients. Understanding how dynamic markers relate to function compared to radiographic severity is a valuable step towards precision medicine, allowing clinicians to refine and tailor therapeutic measures by prioritizing and targeting modifiable biomechanical markers linked to pain and function.

trial registrationOriginal RCT was approved by the Research Ethics Boards of École de technologie supérieure (H20150505) and Centre hospitalier de l'Université de Montréal (CHUM-CE.14.339), first registered at https://www.isrctn.com/ (ID-ISRCTN16152290) on May 27, 2015.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeHumansKnee JointPainPain MeasurementBiomechanical markersCanonical correlation analysisDisabilityKnee osteoarthritisPainX-Ray grading

Identifiers

PMID36199051
PMCPMC9533576

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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.