Cartilage Regeneration Potential of Platelet-Rich Plasma versus Plasma Rich in Growth Factors in Knee Osteoarthritis Based on Serum Biomarker of Cartilage Degradation, Coll2-1: A Triple-Blind Randomized Study
Bibliographic record
Abstract
Background: Through the course of the reported triple-blind randomized single-center study, we compared the clinical effectiveness of platelet-rich plasma (PRP) and plasma rich in growth factors (PRGF) and evaluated their cartilage regeneration potential by studying the change in blood biomarkers related to cartilage breakdown, Coll2-1 before and after the intervention. Materials and Methods: During our study, the candidates with symptomatic KL grade 2 and 3 knee osteoarthritis were recruited and randomized into two groups. Each group received three intra-articular injections of PRP or PRGF, each one 4 weeks apart. Baseline visual analog scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were compared with scores reported before 2nd and 3rd injection and at the 6-month and 12-month follow-ups since the first intervention. Furthermore, baseline serum Coll2-1 levels were compared with those obtained at the 12-month follow-up since the first intervention. Results: The difference between the baseline means serum Coll2-1 values and the mean value obtained at the 12-month follow-up was found to be significant in both the PRP (P = 0.005) and PRGF (P = 0.009) groups showing significant reductions in the Coll2-1 levels at the 12-month follow-up of the patient. Conclusion: Both PRGF and PRP showed statistically significant reductions in serum Coll2-1 levels at 12 months. PRGF showed better VAS and WOMAC outcomes at the 12-month follow-up as compared to PRP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".