A PROSPECTIVE STUDY OF ARTHROSCOPIC DEBRIDEMENT COMBINED WITH PLATELET RICH PLASMA INJECTION IN EARLY OSTEOARTHRITIS OF KNEE JOINT
Bibliographic record
Abstract
Background Osteoarthritis (OA) of the knee joint being one of the leading causes of musculoskeletal disability, has also shown increased prevalence in the Indian population. It has been observed that with careful patient selection arthroscopic debridement can provide good symptomatic relief. In the recent years, autologous platelet-rich plasma has emerged as a better treatment option. We propose that combining these two procedures together will give better results in some cases of early OA. To determine theObjectives efcacy and functional outcome of arthroscopic debridement along with intra-articular inltration of autologous platelet rich plasma in early OA knee. To assess the safety of usage of intra-articular inltration of platelet rich plasma in early OA knee. Materials and methods A prospective study conducted for a period of 24 months among 55 patients with early osteoarthritis at SSIMS & RC hospital, Davanagere, Karnataka. Under aseptic precautions, arthroscopic debridement of knee was done, after debridement 4 ml platelet concentrate was injected into knee joint. The pain assessment was done by Visual Analogue Scale (VAS), and the course of disease and effectiveness of therapy was assessed by measurement of Western Ontario and McMaster Universities Arthritis Index (WOMAC), before procedure and at 6 weeks, 3 months, and 6 months after procedure. Osteoarthritis of knee joint was affected on both sides in about 41.8%. The mean VAS score at baseline was 6.54Results ±0.719. The mean WOMAC score at baseline was 71.07 ±3.826. On comparing the mean baseline with the variation in each follow up, we found statistically signicant relation, suggesting that there was improvement in the condition of the participants. Conclusion The study found that arthroscopic debridement with intra-articular inltration of platelet rich plasma in early osteoarthritis knee signicantly reduced the pain, as the mean values of VAS score decreased drastically, and also improved the condition of the participants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".