Comparison of Intra Articular Autologous Platelet-Rich Plasma with Steroids in Osteoarthritis Knee: Experience from a North Indian Tertiary Care Center
Bibliographic record
Abstract
Background: Intra-articular (IA) platelet-rich plasma (PRP) is a promising treatment option for knee osteoarthritis (OA). It accelerates the process of healing, ligament repair, cartilage regeneration, and bone formation when given in supraphysiological doses. The aim of this study was to compare the efficacy of IA PRP versus IA methylprednisolone acetate (MPA) in patients with knee OA. Methods: Open labeled prospective observational study was conducted on 60 patients with Kellgren-Lawrence Grade 2 and 3 OA knee, who fulfilled the ACR classification criteria for knee OA. Thirty patients were given IA PRP (6 ml) and 30 received IA methyl prednisolone (80 mg) at baseline line, which was repeated at 12 weeks. The primary endpoint was an improvement in Western Ontario and McMaster Universities Index (WOMAC) and 100 mm Visual Analog Scale (VAS) pain at 24 weeks postinjections. Results: The mean change in VAS pain and total WOMAC score from baseline to 24 weeks was 32.9 ± 12.1, 31.8 ± 14.7 for PRP group, and 12.9 ± 5.9, 7.5 ± 5.5 for MPA group, which was statistically significant (P < 0.0001). Conclusions: Treatment with IA PRP showed sustained improvements in WOMAC and VAS scores compared to IA steroids. PRP is an effective treatment for functional status and pain in moderate 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".