Resistance Training in Patients with Medial Compartment Knee Osteoarthritis and Malalignment
Bibliographic record
Abstract
PURPOSE: The primary objective of this study was to evaluate the effects of a 12-week high-intensity knee extensor and flexor isokinetic resistance training program on strength, pain and adherence in patients with advanced knee osteoarthritis (OA) and varus malalignment. The secondary objective was to examine the effects of the resistance training program on function, self-efficacy and dynamic knee joint load during gait. METHODS: Fourteen patients (48.35 ± 6.51 yrs) with radiographically confirmed medial compartment knee OA and varus malalignment of the lower limb were recruited from a waiting list of patients scheduled for high tibial osteotomy. Participants completed a 12-week isokinetic training program. Isokinetic knee extensor and flexor strength was assessed at baseline, weeks 3, 6, 9 and post training. Pain and adherence were recorded at each training session. The 6-minute-walk test, Knee injury and Osteoarthritis Outcome Survey, Arthritis Self-Efficacy Scale (ASES) and external knee adduction moment during gait were evaluated pre and post training. RESULTS: Following training, there were significant improvements (20-30%) in knee extensor and flexor strength (p = 0.001). There was no increase in pain throughout or following the training program (p>0.05). Adherence was high with participants attending an average of 31.8 (± 2.6) out 36 sessions. There was a significant increase in the function subscale of the ASES (p =0.02). No significant changes were observed for knee adduction moment during gait or function although individual data varied widely. CONCLUSIONS: These findings suggest patients with advanced knee OA and malalignment can experience substantial gains in strength following resistance training without concomitant increases in pain or compromised adherence. Although we did not see increases in functional performance, the increased scores on the function subscale of the ASES indicate patients are more confident in their functional abilities.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".