Pain and Functional Outcome with Single dose 25% Dextrose Intra-Articular Injection in Patients with Primary Osteoarthritis of the Knee
Bibliographic record
Abstract
Introduction: Osteoarthritis (OA) is the most prevalent chronic joint disorder worldwide and is associated with significant pain and disability. The introduction of 25% Dextrose injection has been viewed as an advance in the management of OA knee. Methods: A prospective, randomized clinical trial was conducted with 84 cases in the Physical Medicine and Rehabilitation (PMR) department of BSMMU. Group A, 42 patients received single dose 25% Dextrose injection intra articular 8ml, exercise and ADL; Group B, 42 patients received exercise and ADL. Outcomes were measured by OA specific translated and validated Bengali instrument- Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire and visual analogue scale (VAS 0-10). They were followed up for 6 months. Result: At the initial stage and in week 4, there was no statistical difference between two groups regarding VAS score (as p value was >0.05). But in week 12 and 24, there was highly significant statistical difference regarding VAS score between two groups as the p value was <0.001. Again at the initial stage and week 4, there was no statistical difference between two groups regarding stiffness and physical function score. But in week 12 and 24, there was significant statistical difference regarding stiffness and physical function score between two groups as the p value was less than 0.05. Conclusion: Intra-articular injection of 25% dextrose administered to patients with OA knee has significant effects in pain reduction and functional improvement. J Dhaka Medical College, Vol. 29, No.2, October, 2020, Page 138-144
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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 | 0.000 |
| 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".