A tertiary care interventional study on autologous platelet-rich plasma regenerative therapy for Grade III knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Platelet-rich plasma (PRP) therapy is widely used in regenerative medicine, with proven efficacy in mild-to-moderate knee osteoarthritis (OA). However, its role in advanced OA (Kellgren-Lawrence Grade III) remains uncertain. OBJECTIVE: The objective of the study was to evaluate the effectiveness of PRP therapy in reducing pain and improving function in patients with Grade III bilateral knee OA. METHODS: A prospective interventional study was conducted on 29 patients with Grade III bilateral knee OA. Each patient received four intra-articular PRP injections per knee (7-8 ml; 2-3 × concentration) at 4-5-week intervals. PRP was prepared using MARSPILL criteria: Non-activated, leukocyte-rich, double-spin, in a closed system, and administered within 60 min of preparation. The PRP preparation process was supervised by the transfusion medicine department. Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores were recorded at baseline and at 3, 6, and 12 months posttreatment, along with monitoring for adverse events. RESULTS: < 0.001). Significant improvements were also observed in the pain and functional difficulty subscales. No major adverse effects were reported. CONCLUSION: Four sessions of standardized PRP therapy significantly reduced pain and improved function in patients with bilateral Grade III knee OA for up to 1 year. This therapy may serve as a temporizing measure before definitive surgical intervention.
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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 | 0.001 |
| 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) | 0.006 | 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".