Role of autologous platelet rich plasma in treating symptomatic patients with osteoarthritis via double spinning technique
Bibliographic record
Abstract
Background: Platelet rich plasma (PRP) is a hemoderivative containing a platelet concentration well above the normal baseline rich in platelet degranulation products such as cytokines/vasoactive amines and growth factors, which make it a good therapeutic tool for repair and healing in many speciality fields of orthopaedics, dentistry, plastic surgery (including cosmetic and burn therapy) and dermatology. The present study was conducted with aim of seeing the response of PRP on symptomatic alleviation and functional restoration in patients of osteoarthritis. Methods: The present study was undertaken in the department of transfusion medicine in conjunction with department of orthopedics at a tertiary care teaching hospital on 50 cases of OA graded according to Kellgren-Lawrence grading system. In all the cases single intra-articular injection of PRP made by double spin technology was injected and response of the patient followed up at 3, 6 and 12 months with visual analogue score (VAS) and WOMAC (Western Ontario and Mc Master Universities Arthritis) index. Apart from simple statistics of mean and averages; the means of paired samples were compared for the VAS with Student’s t parametric test. The WOMAC index was tested by the non-parametric Wilcoxon’s rank sum test. In both the settings a value < 0.05 was deemed significant. Result: Statistically significant differences (p<0.001) between pre-treatment and follow up values were found for pain, stiffness and functional restoration of the joint as measured by WOMAC index and VAS pain scores. There were no adverse events related to PRP infiltration. Conclusion: The study hence concludes that intra-articular infiltration of autologous PRP prepared by double spinning approach in OA of the knee according to the established protocol is a safe, tolerable and effective tool which results in reduction of pain and is also associated with functional improvement of the joint as well.
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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) | 0.000 | 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) | 0.000 | 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".