Effects of Compressive Myofascial Release of Vastus Lateralis on Lateral Patellar Tracking in Patients with Knee Osteoarthritis
Bibliographic record
Abstract
Knee osteoarthritis is highly prevalent around the world and 4th leading cause of disability. Lateral patellar tracking is a common complain of knee osteoarthritis. It causes Q-angle at knee joint to increase that further leads to gait abnormalities. Objective: To determine the effect of compressive myofascial release of vastus lateralis on lateral patellar tracking in terms of pain, range of motion, and functional disability in patients with knee OA. Methods: This Randomized controlled trial was conducted at the Ahad Medicare Clinic and Physiotherapy Centre, Rawalpindi, spanning from December 2020 to June 2021. In this study, 52 participants were carefully selected using the Open Epi software. These individuals were aged 50 years and above and had previously been diagnosed with Grade 2-3 knee osteoarthritis. Participants were then evaluated for the presence of lateral patellar tracking by measuring Q-angle. After meeting eligibility criteria participants were divided into two groups: the Experimental group (n=26) and the Control group (n=26). Numeric Pain Rating Scale (NPRS), Goniometer, and Western Ontario and McMaster Universities Arthrosis Index (WOMAC) were used to take measurements at baseline and at 15 days follow-up. Results: Statistical analysis revealed a significant difference (p<0.05) between the Experimental and Control groups in terms of pain reduction and knee extension range of motion (ROM). Conclusions: The study's findings revealed that the experimental group exhibited more significant improvements in pain reduction and knee extension compared to the conventional treatment group.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".