MétaCan
Menu
Back to cohort
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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.025
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.009
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Explore more

Same venueArthritis Care & ResearchSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207