Effects of tele-prehabilitation on clinical and muscular recovery in patients awaiting knee replacement: protocol of a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: The increasing prevalence of knee osteoarthritis and total knee arthroplasty (TKA) impose a significant socioeconomic burden in developed and developing countries. Prehabilitation (rehabilitation in the weeks immediately before surgery) may be crucial to prepare patients for surgery improving outcomes and reducing assistance costs. Moreover, considering the progress of telemedicine, candidates for TKA could potentially benefit from a tele-prehabilitation programme. We aim to evaluate the effects of a home-based tele-prehabilitation program for patients waiting for total knee replacement. METHODS AND ANALYSIS: Forty-eight male patients, aged 65-80, on a waiting list for TKA will be recruited and randomly assigned to the tele-prehabilitation intervention or control groups. Both groups will undergo the same 6-week exercise program (five sessions/week) and the same educational session (one per week). The tele-prehabilitation group will perform asynchronous sessions using a tablet, two accelerometers and a balance board (Khymeia, Padova, Italy), while the control group will use a booklet. The Western Ontario and McMaster Universities Osteoarthritis Index Questionnaire, at the end of the prehabilitation, will be the primary outcome. Secondary outcomes will include self-reported outcomes, performance tests and change in expressions of blood and muscle biomarkers. Ten healthy subjects, aged 18-30, will be also recruited for muscle and blood samples collection. They will not undergo any intervention and their data will be used as benchmarks for the intervention and control groups' analyses. ETHICS AND DISSEMINATION: This randomised controlled trial will be conducted in accordance with the ethical principles of the Declaration of Helsinki. This study has been approved by the Ethics Committee of Vita-Salute San Raffaele University (Milan, Italy. No. 50/INT/2022). The research results will be published in peer-reviewed publications. TRIAL REGISTRATION NUMBER: NCT05668312.
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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 | 0.024 | 0.020 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.016 | 0.006 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.053 | 0.008 |
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".