Early Rehabilitation After Total Knee Replacement Surgery: A Multicenter, Noninferiority, Randomized Clinical Trial Comparing a Home Exercise Program With Usual Outpatient Care
Bibliographic record
Abstract
OBJECTIVE: To determine, at 6 weeks postsurgery, if a monitored home exercise program (HEP) is not inferior to usual care rehabilitation for patients undergoing primary unilateral total knee replacement (TKR) surgery for osteoarthritis. METHODS: We conducted a multicenter, randomized clinical trial. Patients ages 45-75 years were allocated at the time of hospital discharge to usual care rehabilitation (n = 196) or the HEP (n = 194). Outcomes assessed 6 weeks after surgery included the Western Ontario and McMaster Universities Osteoarthritis Index pain and physical function subscales, knee range of motion, and the 50-foot walk time. The upper bound of the 95% confidence interval (95% CI) mean difference favoring usual care was used to determine noninferiority. RESULTS: At 6 weeks after surgery there were no significant differences between usual care and HEP, respectively, for pain (7.4 and 7.2; 95% CI mean difference [MD] -0.7, 0.9), physical function (22.5 and 22.4; 95% CI MD -2.5, 2.6), knee flexion (96° and 97°; 95% CI MD -4°, 2°), knee extension (-7° and -6°; 95% CI MD -2°, 1°), or the 50-foot walk time (12.9 and 12.9 seconds; 95% CI MD -0.8, 0.7 seconds). At 6 weeks, 18 patients (9%) allocated to usual care and 11 (6%) to the HEP did not achieve 80° knee flexion. There was no difference between the treatment allocations in the number of hospital readmissions. CONCLUSION: The HEP was not inferior to usual care as an early rehabilitation protocol after primary TKR.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".