Standardized Platelet Rich Plasma Injections for Osteoarthritis of the Knee
Bibliographic record
Abstract
Objective Platelet-rich plasma (PRP) and adipose-derived stem cells (ADSC) injections are non-surgical treatments for knee osteoarthritis (OA). The purpose of this study is to assess the effectiveness of serial PRP with or without ADSC injections in the treatment of refractory OA of the knee. Design Patients who failed to achieve pain relief with conventional non-surgical treatments, with Kellgren-Lawrence grade 3 or 4 knee OA, were recruited from a private outpatient clinic. Over 67 patients were elected to receive serial PRP injections and 22 patients were elected to receive an ADSC+PRP injection. These patients completed Western Ontario and McMaster Universities Arthritis Index (WOMAC) surveys prior to each treatment and at follow-up appointments. These surveys were retrospectively reviewed to assess changes in functional status and pain over time. Results Twenty-nine patients from the PRP group and eight patients in the ADSC+PRP group had adequate follow-up for inclusion in the analysis. The PRP group had an improvement in WOMAC scores by 34.30%, 60.2%, and 58.5% for patients reporting at 1-3, 4-6, and >6 months of follow-up. The ADSC+PRP group experienced an improvement of 51% at an average of 4.66 months of follow-up. Conclusions Serial PRP injections and a single ADSC+PRP injection yield improved and sustained functional outcome scores for patients with severe, refractory OA of the knee. Future studies should consider consistent orthobiologic preparation protocols to ensure reproducibility.
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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) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".