Efficacy of Autologous Intra-articular Platelet Rich Plasma Injection as a Biological Adjuvant in Early Primary Osteoarthrosis Knee—A Prospective Study
Bibliographic record
Abstract
Introduction Classical characteristics of osteoarthrosis are reduction or loss of articular cartilage, new bone formation, accompanied by synovial proliferation resulting in pain, loss of joint function, and disability. Platelet rich plasma (PRP) has been used to provide stimulus for local regeneration and healing. The present study was conducted with the aim of evaluating the clinical outcome and efficacy of injecting PRP intra-articularly in early primary osterarthrosis knee. Objective Prospective study was conducted with the aim of evaluating the clinical outcome of efficacy of injection of PRP in early primary osteoarthrosis knee with respect to pain, stiffness, function and quality of life, in short-term follow-up. Attempt was made to standardize protocol and formulate PRP. Materials and Methods Patients were divided into two groups: one treated with two autologous PRP injections at 2 weeks interval and second received symptomatic treatment with physiotherapy. Patients were prospectively evaluated at baseline and then at 1 month, 3 months, and 6 months of follow-up using the visual analog scale (VAS) score, Western Ontario and McMaster Universities osteoarthritis index (WOMAC) score, and range of movements. Results There was reduction in VAS score in group 1 patients compared with group 2 patients with the p-value <0.0001 which was highly significant. There was a significant improvement in WOMAC score at 1 month, 3 months, and 6 months in group 1 compared with group 2 patients. Conclusion Autologous PRP in osteoarthrosis of knee has emerged as a simple technique, sensitive procedure, and cost-effective treatment option. Administration of intra-articular PRP injections reduced the VAS score significantly and also a significant improvement in the WOMAC score was observed in patients who were treated with PRP injection. The two doses of injection of PRP were found to give adequate relief in short term of 6 months and further long-term studies are required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".