Decrease of serum biomarker of type II Collagen degradation (Coll2-1) by intra-articular injection of an autologous plasma-rich-platelet in patients with unilateral primary knee osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: This study aimed to evaluate the effect of one dose of intra-articular injection of (PRP) in the knee joint on a specific osteoarthritis (OA) serum biomarker of cartilage degeneration, Collagen 2-1 (Coll2-1), over a short period of 3 months. The aim extended to clarify the effect of PRP on the functional status of the osteoarthritic knee joint. MATERIAL AND METHODS: Sixty patients with primary unilateral knee OA were enrolled in this study. They were subdivided according to Kellgren-Lawrence grading scale (KL) into (Group I): including patients with KL grade < 3 and (Group II): including patients with KL grade ≥3. Patients were asked to complete the Western Ontario and McMaster Universities Arthritis Index (WOMAC) Score. PRP was prepared and injected immediately into the affected knee. Serum Coll2-1 (S.Coll2-1) concentration was measured by enzyme-linked immunosorbent assay (ELISA) kit pre and 3 months after PRP injection. RESULTS: Significant reduction in S.Coll2-1 concentration in primary knee OA patients; (p<0.001) and (p<0.05) in group I and group II respectively as well as significant improvements in WOMAC total and WOMAC sub-scores values were noted after single intra-articular PRP injection with maximal functional improvements were achieved after 3 months (p<0.001). Mild cases experienced favorable results with no remarkable adverse reactions were observed. CONCLUSION: Reduction in specific OA biomarker S.Coll2-1 following intra-articular PRP injection emphasize that PRP could be a promising safe and tolerable effective therapeutic option which improves function from basal states in primary knee OA patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".