EFFECTIVENESS OF RETROWALKING IN PAIN AND FUNCTIONAL DISABILITIES IN OSTEOARTHRITIS KNEE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Osteoarthritis (OA) of the knee is a common degenerative joint disorder that leads to pain, reduced mobility, and functional limitations, creating a significant social and family burden. Risk factors can be both modifiable (age, gender) and non-modifiable (occupation, sports). Retro walking, a closed kinematic chain exercise, has been utilized for decades and may provide therapeutic benefits for OA knee patients. Objective: To determine the effectiveness of retro walking in reducing pain and improving functional abilities in individuals with OA knee. Methods: A narrative review was conducted using PubMed and Cochrane Library, focusing on articles published in the last ten years. Studies were selected based on inclusion criteria: retro walking as the intervention for OA knee, pain as a primary outcome, and randomized controlled trials (RCT) or systematic reviews (SR). Four articles, including three RCTs, met the criteria. Pain was assessed using the Numeric Pain Rating Scale (NPRS) and functional disability with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Protocol Summary: Participants aged 40–70 years with Grade 1–3 OA knee and NPRS ≤ 4 underwent a retro walking program for 10 minutes per session (including warm-up and cool- down), three times per week for 3–6 weeks, covering distances of 10–30 meters. Safety was monitored, and any adverse events led to discontinuation. Results: The review revealed highly significant improvement in pain and significant improvement in functional disability across studies. Conclusion: Retro walking is an effective adjunct to conventional therapy for decreasing pain and functional disabilities in OA knee patients, offering a simple, low-cost, and safe exercise option for rehabilitation.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it