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Record W1961234873 · doi:10.1002/acr.22558

Influence of Biomechanical Characteristics on Pain and Function Outcomes From Exercise in Medial Knee Osteoarthritis and Varus Malalignment: Exploratory Analyses From a Randomized Controlled Trial

2015· article· en· W1961234873 on OpenAlexaffabout
Kim L. Bennell, Fiona Dobson, Ewa M. Roos, Søren Thorgaard Skou, Paul W. Hodges, Tim V. Wrigley, Mary Kyriakides, Ben Metcalf, Michael A. Hunt, Rana S. Hinman

Bibliographic record

VenueArthritis Care & Research · 2015
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of British Columbia
FundersNational Health and Medical Research Council
KeywordsOsteoarthritisMedicineRandomized controlled trialPhysical therapyPhysical medicine and rehabilitationKnee painSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether selected biomechanical characteristics influence changes in pain and physical function with exercise in people with medial knee osteoarthritis (OA) and varus malalignment. METHODS: We conducted post hoc exploratory analyses from a randomized controlled trial involving 100 people with medial knee OA and varus malalignment who were randomly allocated to one of two 12-week exercise programs (quadriceps strengthening [QS] or neuromuscular exercise [NEXA]). The outcome measures were change in overall average knee pain (visual analog scale) and self-reported physical function (Western Ontario and McMaster Universities Osteoarthritis Index). Candidate biomechanical characteristics measured at baseline were visually observed varus thrust during walking, obesity (determined by body mass index), static varus alignment, and isometric quadriceps strength. Data were analyzed with separate two-way analyses of covariance using the interaction term of exercise group by biomechanical characteristic. RESULTS: Ninety-two participants were analyzed for each characteristic except varus thrust, for which 85 participants were included. For change in pain, there was a significant interaction effect between type of exercise and both varus thrust (P = 0.001) and obesity (P = 0.023). NEXA was more effective for nonobese participants (mean change 29.5 mm [95% confidence interval (95% CI) 20.5, 38.5]) and for those with varus thrust (mean change 28.7 mm [95% CI 19.4, 38.1]), whereas QS was more effective for obese people (mean change 24.7 mm [95% CI 14.9, 34.4]) and for those without varus thrust (mean change 29.4 mm [95% CI 21.2, 37.7]). Biomechanical characteristics did not influence the effect of exercise on physical function (P > 0.05). CONCLUSION: These preliminary findings suggest that varus thrust and obesity influence the pain-relieving effects of 2 different types of exercise. Further research is needed to confirm whether or not exercise that is prescribed according to specific biomechanical characteristics optimizes knee OA outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.338
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations50
Published2015
Admission routes2
Has abstractyes

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