Treatment of knee osteoarthritis: platelet-derived growth factors vs. hyaluronic acid. A randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: Aim of this trial was to compare efficacy of activated platelet-rich plasma against hyaluronic acid as intra-articular injections to people with osteoarthritis of the knee. DESIGN: Phase-2 randomized controlled trial, with blind patients and outcome assessors. SETTING: Outpatient rehabilitation service; years 2011-2013. SUBJECTS: Patients with knee osteoarthritis grades 2-3 at magnetic resonance imaging (MRI) were included after consent and randomized. Target sample size was 25 patients per group. INTERVENTIONS: Patients received three activated platelet-rich plasma (intervention group) or hyaluronic acid (controls) intra-articular injections at 4-week intervals. MAIN MEASURES: Main outcome measure was proportion of patients with >1 grade improvement at six months from last injection, as assessed by a radiologist blind to study group. Patients were evaluated over time clinically and with functional scales (Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Lysholm, Tegner, American Knee Society Score (AKSS), Lequesne, visual analogue scale (VAS) for pain). RESULTS: Overall, 30 patients were randomized to intervention and 28 to control group. For primary outcome, 28 patients (29 knees) in the intervention and 22 (25 knees) in the control group were available. Patients with at least 1 grade improvement at repeat MRI were 14 (48.3%) in the intervention and 2 (8%) in the control group ( P < 0.003). Improvement in symptoms and functional scales was consistently higher in the intervention group. No side-effects were observed in either group. CONCLUSION: Activated platelet-rich plasma reduces articular damage as evident at MRI, as soon as six months after treatment; it reduces pain and improves patient's function and overall quality of life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".