Study of effectiveness of lateral wedge insole on medial compartment of osteoarthritis of knee treated with viscosupplementation
Bibliographic record
Abstract
Context: Knee Osteoarthritis (OA) is a common disorder affecting the elderly population in the Asia-Pacific region. The goals of OA treatment include alleviation of pain and improvement of functional status. There is lack of consensuses regarding the management of knee OA. Aims: The main aim of this study is to evaluate any synergistic effect of adding lateral wedge insoles to viscosupplementation. Settings and Design: This is a randomized interventional study in which total 60 patients were selected from a tertiary care center and divided in two equal groups using computerized block randomization. Methods and Material: Group A got only VS while Group B got VS with LWI. Assessment was done at baseline and then after 2nd, 4th and 12thweeks after the intervention by using Visual Analogue Scale (VAS) for pain, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for function and Health Assessment Questionnaire (HAQ) for quality of life. Statistical Analysis Used: The data were entered in MS EXCEL spreadsheet and analysed by using Statistical Package for Social Sciences (SPSS) version 21.0. Results: In this study all the patients in both group showed statistically significant improvement in VAS, WOMAC and HAQ on all three follow-ups over the baseline assessment (P value < 0.0005). On inter-group comparison, statistically significant better results were noticed in the WOMAC scores of group B at 2nd week and 4th week (P value <0.0005) on follow up over group A. The statistically better result in group B on WOMAC was not seen at the 12 week follow up. Conclusions: Viscosupplementation has significant role in OA knee management. Intra articular Hyaluronic acid injection improves significantly the pain, function and quality of life of moderate grade OA Knee patients. Addition of Lateral wedge insole in the treatment gave initial relief in stiffness and function but not on subjective pain felt or on quality of life. Also, in long-term, it had no added advantage over viscosupplementation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".