Effectiveness of a neuromuscular exercise program conducted with a physiotherapist in individuals with degenerative meniscal tears
Bibliographic record
Abstract
BackgroundDegenerative meniscal tears are common, causing knee pain, functional limitations, and reduced quality of life. Effective treatment is essential to restore daily functionality. This study evaluated the impact of a neuromuscular exercise program on individuals with degenerative meniscal tears.Materials and MethodsFifty patients (ages 20-65) with degenerative meniscal tears were randomly divided into two groups. Group 1 participated in a physiotherapist-guided neuromuscular exercise program, while Group 2 performed a home exercise program. Both groups underwent treatment three times a week for six weeks. Effectiveness was assessed using the Tegner Activity Level Scale, Knee Injury and Osteoarthritis Outcome Score - Physical Function Short Form (KOOS-PS), Western Ontario Meniscal Evaluation Tool (WOMET), pain assessment, and jump performance before and after treatment.ResultsBoth groups showed significant improvements. However, Group 1 improved WOMET General Calculation, Night Pain, and KOOS-PS Symptoms (p < 0.001). Neuromuscular exercises with physiotherapist support yielded superior outcomes compared to the home program. Significant changes were observed in parameters such as "Pain Activity" and "Pain Rest" (p < 0.001) in both groups, with notable improvements in Group 1. WOMET tests also showed significant gains for Group 1 (p < 0.001) and Group 2 (p < 0.001).ConclusionPhysiotherapist-supervised neuromuscular exercise programs significantly improved pain, knee function, and quality of life in individuals with degenerative meniscal tears. The findings underscore the added value of professional supervision in maximizing clinical outcomes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".