The efficacy of platelet-rich plasma preparation protocols in the treatment of osteoarthritis: a network meta-analysis of randomized controlled trials
Bibliographic record
Abstract
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 | 0.051 | 0.087 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 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".