Efficacy of platelet rich plasma (PRP) injection in the treatment of knee pain in patients with osteoarthritis knee.
Bibliographic record
Abstract
Objective: To assess the efficacy of intra-articular PRP injections in patients with knee osteoarthritis. Study Design: Cross Sectional. Setting: Orthopedic Department of Mardan Medical Complex. Period: 13th August to 14th December 2023. Methods: Involving 50 diagnosed osteoarthritis patients at demographic data, grades of osteoarthritis, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were recorded pre-treatment. Patients received PRP injections at three intervals, and post-treatment WOMAC scores were assessed. Statistical analysis included mean, standard deviations, and a paired t-test. Results: The study comprised 66% female patients, with a mean age of 50.08±5.82 and mean BMI of 27.16±3.53. Regarding grades of osteoarthritis, grade 1, grade 2 and grade 3 comprised of n=14(28%), 19(38%), 17(34%) respectively PRP treatment significantly reduced WOMAC scores from a pre-treatment mean of 56.62±5.70 to 27.54±4.79 (p < 0.001). Conclusion: The significant reduction in WOMAC scores post-treatment suggests that intra-articular PRP injections may serve as a valuable intervention in the short term management of knee osteoarthritis.
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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 | 0.000 |
| 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".