Effectiveness of total knee arthroplasty rehabilitation programmes: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To investigate the effectiveness of modified rehabilitation programmes in comparison with standard rehabilitation programmes after total knee arthroplasty through randomized controlled trials. DATA SOURCES: A search was conducted in PubMed, PubMed Central (PMC) and Cochrane Library databases in December 2020. STUDY SELECTION: Randomized controlled trials were reviewed if they compared a physiotherapy exercise intervention with usual or standard physiotherapy care, or if they compared 2 types of exercise physiotherapy interventions meeting the review criteria, after total knee arthroplasty for osteoarthritis. A total of 18 randomized controlled trials were included at the end of the screening process. DATA EXTRACTION: Two authors independently screened the literature, extracted data, and assessed the quality of included studies. The outcomes were knee extension, knee flexion, pain visual analogue scale, overall Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), 6-minute walking test, and Timed Up and Go test. DATA SYNTHESIS: There was no clear pattern regarding which combination of starting time-point and duration of the rehabilitation programme after total knee arthroplasty significantly improves the clinical outcome when comparing modified rehabilitation programmes with standard programmes. Moreover, no particular modification to the modified programmes could be solely attributed to the improved clinical outcome in the 2 studies that showed significant improvement. CONCLUSION: Modified rehabilitation programmes do not result in systematic improvement in clinical outcome over one-size-fits-all-approaches after total knee arthroplasty.
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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 | 0.019 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.027 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".