The Multiple Dosing Effects of Platelet-Rich Plasma on Cartilage Regeneration in Knee Osteoarthritis: Randomised, Placebo-Controlled Trial
Bibliographic record
Abstract
Introduction: The purpose of this study was to evaluate clinical and biochemical efficacy of autologous intraarticular (IA) platelet rich plasma (PRP) compared to saline and to measure effectiveness of single and multiple doses given at monthly intervals for Kellgren-Lawrence (K-L) grade II, III knee osteoarthritis (KOA). Material and Methods: A total of 130 patients were randomised into 4 groups; PRP-1 (n=36), PRP-2 (n=34), PRP-3 (n=32) and saline (NS) (n=28), after approval from institute ethics committee (reference number: TMU/IEC/20-21/091) and was conducted in accordance with Helsinki declaration. Groups PRP-1, PRP-2, PRP-3 received single, double and triple injections of PRP whereas NS group received single saline (0.9%) injection. Assessment of outcome scores (visual analogue scale [VAS] and Western Ontario and McMaster Universities Arthritis Index [WOMAC]) was done at baseline and three, six, nine months post intervention. Serum collagen 2-1 (Coll2-1) estimation at baseline and nine months post-therapy was used for biochemical assessment. Results: Improvement in VAS and WOMAC was statistically significant and clinically meaningful (Minimal clinically important change [MCIC]; >12% of baseline and ≥2cm difference in mean for WOMAC and VAS, respectively) for groups PRP-1, PRP-2 and PRP-3 in comparison to saline (P<0.05), at every follow-up. PRP groups also exhibited a significant decrease in serum Coll2-1 at 9 months (P<0.05). On comparison among the PRP groups, multiple doses (groups PRP-2 and PRP-3) produced significantly better clinical results than single dose (group PRP-1) (P<0.05), whereas the difference in Coll2-1 levels was significant for group PRP-1 vs PRP-3 only (P<0.05). Conclusion: PRP results in clinically significant amelioration of functional and pain scores as well as significant reduction in serum levels of Coll2-1 in K-L grade II, III KOA over nine months. These benefits can be accentuated by multiple doses given one month apart.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".