DOES THE PLATELET CONCENTRATION IN PLATELET RICH PLASMA INFLUENCE THE OUTCOMES OF PRIMARY KNEE OSTEOARTHRITIS?
Bibliographic record
Abstract
Background: Growth factors in platelets have been extensively studied and were reported to be used to stimulate cartilage regeneration in osteoarthritis (OA). Objective: This study aimed to observe the influence of platelet concentration in platelet rich plasma (PRP) on the outcomes of primary knee OA. Methods: Eighty-nine patients undergoing PRP injection in unilateral primary knee OA were assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) questionnaire and visual analog scale (VAS) before intervention at 3 weeks, 3 months, 6 months and 12 months after treatment. A small aliquot of PRP was sent for bacteriologic examination and evaluation of the platelet count. A student t-test was conducted to compare WOMAC and VAS score among patients before PRP injection (baseline) and at each follow-up. The platelet count and their influence on outcomes were also analyzed using Pearson`s correlation coefficient. Results: Statistically significant differences were observed in the WOMAC score between baseline (M=47.08, SD=8.50) and 3 weeks (M=20.37, SD= 10.09, p< 0.001), 3 months (M= 23.24, SD= 11.39, p<0.001), 6 months (M= 29.89, SD=14.95, p <0.001), and final follow-up at 12 months (M= 27.78, SD= 16.56, p<0.001). Also a significant difference was observed in VAS between baseline (M=69.02, SD= 9.58) and 3 weeks (M= 36.23, SD= 15.72, p <0.001), 3 months (M= 37.04, SD= 17.30, p <0.001), 6 months (M= 42.58, SD=22.15, p <0.001) and 12 months (M=39.15, SD= 23.96, p <0.001). The mean platelet count in PRP injection was 1000.66x103platelets/mL (402x103platelets/ml to 1630x103platelets/mL). Positive correlations were discovered between the concentration of the platelet and the mean improvement WOMAC scores and VAS at 3 weeks (r =0.31, r=0.40), 3 months (r=0.10, r=0.23), 6 months (r=0.08, r=0.30) and 12 months after intervention (r=0.12, r=0.23), respectively. Conclusion: Higher concentrations of platelets in the PRP had a better effect on outcomes of primary knee OA especially at three weeks after injection.
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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 | 0.004 |
| 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) | 0.001 | 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".