Efficacy of intra-articular injection of allogeneic platelet-rich plasma for knee osteoarthritis combined with hematologic blood dyscrasias with platelet dysfunction: protocol of a randomized, double-blind, placebo-controlled trial
Bibliographic record
Abstract
BACKGROUND: Autologous platelet-rich plasma (PRP) has been shown to alleviate the symptoms of patients suffering from knee osteoarthritis (KOA), but for certain patients with hematologic diseases with platelet dysfunction and patients receiving anti-platelet medications, autologous PRP is not an optimum solution. Allogeneic PRP has been proven to be safe and effective in the treatment of osteoarthritis, rotator cuff disease, refractory wounds and other medical fields. However, a well-designed and long-term follow-up prospective randomized controlled trial (RCT) to evaluate the effect of allogeneic PRP intra-articular injections for KOA combined with hematologic blood dyscrasias has not yet been performed. METHODS/ DESIGN: We will conduct an allogeneic PRP injection for KOA combined with hematologic blood dyscrasias with platelet dysfunction study: a prospective, randomized, double-blind, placebo-controlled trial. One hundred participants with KOA combined with hematologic blood dyscrasias with platelet dysfunction will be randomly allocated to receive either one allogeneic PRP injection or one saline injection into the knee joint. The primary outcome will be a 12-month change in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score. Secondary outcomes will be the 36-Item Short-Form General Health Survey (SF-36) score, Lysholm score, overall knee pain score and MRI assessment at 1-, 3-, 6- and 12-month. DISCUSSION: The results of this study will help determine whether allogeneic PRP could be used as a non-surgical intervention to treat patients with knee OA combined with hematologic blood dyscrasias with platelet dysfunction. TRIAL REGISTRATION: Chinese Clinical Trials Registry reference: ChiCTR2100048624. Prospectively registered 11th of July 2021.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".