Therapeutic efficacy of mobilization with movement in early postoperative rehabilitation after unicompartmental knee arthroplasty: a double-blind, randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Early phase rehabilitation protocols are critical for optimizing functional outcomes following unicompartmental knee arthroplasty (UKA). Mobilization with movement (MWM), a manual therapy technique targeting joint kinematics and neuromuscular control, may synergize with rapid rehabilitation to address postoperative dysfunction. PURPOSE: To evaluate the adjunctive effects of MWM on early postoperative functional recovery, pain control, and knee joint stability in patients receiving a standardized rapid rehabilitation protocol for UKA. MATERIALS AND METHODS: This double-blind, randomized controlled trial enrolled 72 UKA patients (April 2022-October 2024). The participants were stratified into two cohorts: the control group (rapid rehabilitation intervention alone) and the observation group (rapid rehabilitation intervention + MWM). MWM: Therapist applies a rotational gliding force toward the tibia and an anteroposterior force (anterior or posterior) at the distal femur to stabilize the joint, coordinating with the patient's active knee flexion-extension movements within a minimally painful range.The functional outcomes were quantitatively assessed via Passive range of motion (PROM), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the Hospital for Special Surgery (HSS) score at five time points: preoperative, postoperative day 1, 2 weeks, 4 weeks, and 12 weeks. RESULTS: Both groups demonstrated progressive improvement in PROM, WOMAC and HSS scores across all follow-up intervals compared with the scores of preoperative and postoperative day 1 (P < 0.01). Compared with the control group, the observation group presented superior functional recovery trajectories: PROM and HSS scoreswere significantly elevated at 2, 4 and 12 weeks (P < 0.01).WOMAC pain/stiffness subscales showed accelerated resolution in the observation group (P < 0.01). CONCLUSION: Integrating MWM protocols synergistically enhances early functional restoration post-UKA, as evidenced by validated outcome measures.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".