Effects of early application of Tuina treatment on quadriceps surface myoelectricity in patients after total knee arthroplasty: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Total knee replacement surgery is commonly used in end-stage diseases of the knee. It is important for improving surgical efficacy and patient satisfaction by promoting early rehabilitation of patients and improving knee function. OBJECTIVE: To observe the effects of early application of Tuina treatment on quadriceps surface electromyography (EMG) in patients with rheumatoid arthritis having undergone total knee arthroplasty. DESIGN, SETTING, PARTICIPANTS AND INTERVENTION: The study was performed at the Orthopedic Department of Huashan Hospital, Fudan University, and the Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine from June 2010 to September 2011. A total of 66 patients with rheumatoid arthritis who had undergone total knee replacement surgery were randomly divided into control group and observation group, 33 cases in each. The patients in the control group were administered with continuous passive training (CPM), and the patients in the observation group were treated with CPM combined with Tuina, from prior surgery to four weeks post-surgery. MAIN OUTCOME MEASURES: The knee function was evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire at baseline and 4 weeks after the surgery. Quadriceps surface EMG was also detected at the same time points. RESULTS: After 4 weeks of Tuina and comprehensive rehabilitation intervention, the WOMAC questionnaire score of the observation group was decreased compared with the control group (P<0.01); median frequency and integrated electromyography of the rectus femoris and vastus medialis muscles, which were recorded by EMG, in the observation group were higher than those in the control group (P<0.01). CONCLUSION: Tuina can improve the recovery of patients who have undergone total knee replacement by increasing quadriceps EMG.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.000 | 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 teacher head, 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".