Effect of Mean Platelet Volume on Platelet Rich Plasma Based Injection Therapy in Patients with Osteoarthritis of the Knee JointA Longitudinal Study
Bibliographic record
Abstract
Introduction: There are different types of arthritis seen in elderly patients, of which Osteoarthritis (OA) is the most common. Platelet Rich Plasma (PRP), which is derived from blood, contains many growth factors. Platelet count and indices in PRP has association with pain score of OA, further study will prove its significance. Aim: To find the correlation of platelet parameters like platelet count, Mean Platelet Volume (MPV) and Plateletcrit (PCT) with clinical OA improvement score in PRP-treated patients of OA. Materials and Methods: The longitudinal study was done in the Department of Pathology, PDU Civil Hospital, Rajkot, Gujarat, India, from January 2021 to October 2021. Study was conducted on 40 patients, who were administered intra-articular injection of PRP prepared using double spin method. It was injected at the site of maximum pain in the knee joint. Platelet count, MPV and PCT were noted in the pre and post intervention. Patients were followed-up at two months and six months. The data was analysed using Friedman Analysis of Variance (ANOVA) and Pearson’s correlation test. Results: The mean age of patients was 58.57±4.95 years and there were 26 (65%) females and 14 (35%) males. Increase in platelet count, MPV, PCT in PRP prepared by double spin method and improvement in Visual Analog Scale (VAS) (Before8.38±0.63; After-4.28±0.85), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) (Before-63.30±4.99; After- 43.67±5.22) and International Knee Documentation Committee (IKDC) (Before-45.04±6.06; After-66.14±5.78) score were found to be statistically significant. Correlation of platelet parameters WOMAC with Platelet count (p-value=0.052, R-value=-0.310), VAS with MPV (p-value=0.005, R-value=0.436) and IKDC with PCT (p-value=0.032, R-value=0.339) were also statistically significant at six months follow-up. Conclusion: Single dose intra-articular injection PRP in OA knee with KL Grade 1 and 2 is valuable, efficient and costeffective treatment to reduce or delay in knee replacement. The study showed the significant correlation of platelet parameters with OA improvement scores.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".