Effect Of Clinical Based Supervised Physiotherapy V/S Home Exercise Program On Osteoarthritis Of Knee Joint-A Comparative study Study.
Bibliographic record
Abstract
Abstract Background: Knee osteoarthritis (OA), also known as degenerative joint disease of the knee, is a common condition where the cartilage in the knee joint breaks down, leading to pain, stiffness, and reduced mobility. OA is the most common disease of the joints worldwide, with the knee being the most commonly affected joint in the body. It mainly affects people over the age of 45. OA can lead to pain and loss of function, but not everyone with radiographic findings of knee OA will be symptomatic: in one study only 15% of patients with radiographic findings of knee OA were symptomatic. Aims: The aim of study is to investigate the effectiveness of physiotherapy treatment in osteoarthritis of knee and compare the clinical based supervised physiotherapy and home exercise programme. Setting: The comparative study was conducted on patients of age group 45-75 years in a private clinical setup. Design: The study was conducted on 40 patients both male and female. The patients were randomly selected. The evaluation of pain and disability was assessed by using WOMAC scale and 6minute walk test. Statistical analysis was done on the basis of data obtained during intervention and results were obtained. Conclusion: The study highlights that the clinical based supervised physiotherapy is an effective conservative treatment protocol to cope with severity of osteoarthritis of the knee. Abbreviations: OA-osteoarthritis ,WOMAC- The Western Ontario and McMaster Universities Osteoarthritis Index
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".