One-Year, Efficacy and Safety Open Label Study, with a Single Injection of a New Hyaluronan for Knee OA: The SOYA Trial
Bibliographic record
Abstract
PURPOSE: To assess the efficacy and safety of a single injection of a new formulation of hyaluronic acid (MPS-HA2%) in patients with symptomatic knee osteoarthritis after 12 months' follow-up. PATIENTS AND METHODS: Prospective, single-arm, multicentre, open-label, 12-month follow-up study. Patients with Kellgren-Lawrence (KL) 2-3 and visual analogue scale (VAS) pain scores of ≥40-< 80 mm received a single injection of MPS-HA2%. The primary outcome was the reduction in VAS pain scores from baseline, and the secondary outcomes were the Western Ontario and McMaster (WOMAC) Universities Osteoarthritis Index, the minimum clinically important improvement (MCII), and patient and investigator global assessments (PGA, IGA) measured on 5-point Likert scale. Adverse events were recorded throughout the study for safety purposes. RESULTS: A total of 101 patients (mean age: 68 years; 74% female; and 78% overweight) were included. The mean reduction in pain at 12 months was 37.7%; the total WOMAC score improved by 36.5% and the pain, stiffness and physical function subscores returned improvements of 32.1%, 34.1% and 32.7%, respectively (p=0.0001 with respect to baseline). At 12 months, a statistically significant 62.2% of patients obtained an improvement equal to or greater than the MCII. The mean PGA score at baseline was 2.44 and 1.46 at 12 months (p<0.05), and the mean IGA scores at equivalent timepoints were 2.29 and 1.48 (p<0.05). Fourteen patients received a second injection at the 6-month follow-up visit. Eight patients reported a total of 12 treatment-related adverse events that were local, non-serious and of mild-to-moderate intensity. CONCLUSION: With just a single intra-articular injection, this not controlled trial suggests that MPS-HA2% is effective 12 months after the procedure in most cases. Patient tolerability and safety were both optimal (NCT03852914).
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".