Efficiency of a structured squat-based program in knee osteoarthritis rehabilitation
Bibliographic record
Abstract
BACKGROUND: Squat exercise, in which eccentric and concentric contractions are present simultaneously in different muscle groups, is one of the closed kinetic chain exercises commonly used in knee rehabilitation. OBJECTIVE: In the scope of the study, our objective is to determine the effectiveness of a structured squat-based exercise approach in patients with knee osteoarthritis. METHODS: In this study, 75 patients diagnosed with knee osteoarthritis were randomly assigned to three distinct groups: isoinertial exercise, a combination of home exercise and electrotherapy, and exercise solely. The assessment encompassed the application of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the Time Up and Go test, evaluation of quadriceps and hamstring muscle strength and activation levels, along with pain threshold assessment. The treatment program was administered three days a week over a span of eight weeks and was assessed both prior to and following the intervention. RESULTS: Across all groups, considerable enhancements were noted in the majority of parameters. Particularly noteworthy were the substantial improvements observed in the first group, specifically concerning WOMAC total score (p = 0.001), muscle strength, activation levels (p = 0.001), and pain tolerance (p = 0.05). CONCLUSIONS: In the group in which we applied isoinertial exercise, a positive increase was observed in most of the parameters.We suggest that isoinertial exercise applications, which are generally encountered in sports fields, should be used in different fields in future studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".