The efficacy of platelet-rich plasma preparation protocols in the treatment of osteoarthritis: a network meta-analysis of randomized controlled trials
Bibliographic record
Abstract
PURPOSE: Osteoarthritis (OA) is a widespread joint disease characterized by the gradual loss of cartilage. Intra-articular injections, including platelet-rich plasma (PRP), are commonly used for treatment, but the optimal PRP preparation method remains debated. This study aims to perform a network meta-analysis of randomized controlled trials to compare the efficacy of different PRP preparation methods and determine the most effective protocols. METHODS: The literature search was conducted based on PRISMA guidelines. Randomized controlled trials (RCTs) evaluating intra-articular injectables in osteoarthritic knees were included. Data were extracted, and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were analyzed at 3, 6, and 12-18 months. Clinical outcomes were compared using a frequentist network meta-analysis, and treatment options were ranked using the P-Score. Statistical analysis was performed using R 4.3.2. RESULTS: Twenty-three RCTs with 1752 patients were included. Treatments included PRP, plasma rich in growth factor (PRGF), leukocyte-poor PRP (LP-PRP), leukocyte-rich PRP (LR-PRP), hyaluronic acid (HA), and saline placebo. Leukocyte-rich PRP with low platelet concentration increase, using both anticoagulant and activator showed the best effects on WOMAC pain and stiffness scores within 6 months (WMD = 26.02; 95% CrI, 0.92-52.46). Leukocyte-poor PRP with high platelet concentration increase, using anticoagulant without activator was most effective for WOMAC function and stiffness at 12-18 months (WMD = 18.94; 95% CrI, 8.34-28.12). Long-term results indicated Leukocyte-poor PRP with low platelet concentration increase, using anticoagulant without activator yielded the best outcomes for cartilage repair and function (WMD = 17.09; 95% CrI, -8.4 to 42.78). CONCLUSIONS: Optimizing OA treatment involves tailoring PRP protocols to disease stage, with low platelet, high leukocyte PRP (RPRP_LPC_Y_Y) recommended for early OA due to its anti-inflammatory effects and high platelet, low leukocyte PRP (PPRP-HPC) preferred for advanced OA to promote tissue repair and regeneration.
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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 | 0.052 | 0.090 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.062 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".