EFFECT OF CIRCUIT TRAINING IN OSTEOARTHRITIS OF KNEE
Bibliographic record
Abstract
Objectives: The objective of the study is to find the effect of circuit training on quality of life. To find the effect of conventional therapy (interferential therapy [IFT] and isometric exercise) and to find the effect of conventional therapy with or without circuit training in OA knee.Methods: A total of 30 participants of 50-60 years of age, having osteoarthritis (OA) knee were recruited and allocated into two groups and treated with IFT, exercises, and circuit training for 4 weeks. Pre- and post-intervention outcome were measured using Western Ontario and McMaster University OA Index (WOMAC) and visual analog scale (VAS).Result: Both groups showed improvement, but there was an extremely significant improvement on VAS and WOMAC scales in the group treated with circuit training along with conventional treatment (IFT and isometric exercises).Conclusion: From this study, we conclude that circuit training along with IFT and isometric exercises shows an extremely significant effect over IFT and isometric exercises alone in OA knee patients.
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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 | 0.000 |
| 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) | 0.003 | 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".