Effectiveness of Neuromuscular exercises (NEMEX) in knee osteoarthritis: A Systematic Review with meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The main objective of the article was to evaluate the effectiveness of Neuromuscular exercises (NEMEX) on pain and function in patients with knee osteoarthritis. Pubmed, Cochrane, PEDro and Google Scholar were searched. The eligibility criteria were: Randomized controlled trials, single blinded controlled trials, controlled before and after study comparing and assessing the effectiveness of NEMEX in knee osteoarthritis, articles published in English language till 2020 with NEMEX either alone or in conjunction with other interventions (drugs, educational packages) in patients with knee osteoarthritis. Outcome measures used for meta-analysis were visual analog scale (VAS) for pain and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for function and the other measures Knee Injury Osteoarthritis Outcome Score (KOOS), Knee Index and Knee Adduction Moment (KAM) and Hip Disability and Osteoarthritis Outcome Score (HOOS). The result of the meta-analysis for the included two studies showed statistically significant reduction in pain (VAS) in the NEMEX group as compared to the other group Z = 0.64, p = 0.03, I2 = 79% and no significant reduction in WOMAC scores Z = 0.70, P = 0.64. The study concludes that there was statistically significant improvement in pain (VAS) but no functional improvement (WOMAC) with the NEMEX whether used in isolation or in conjunction with other interventions was seen in the patients with knee OA. However, large numbers of studies are required to generalize the effectiveness of NEMEX in knee osteoarthritis. Based on this review, NEMEX can be used as a potential intervention in reducing pain, improving strength and function in knee osteoarthritis patients.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it