The Effect of Intra-Articular Hyaluronic Acid (Sinovial® One) on Knee Osteoarthritis: A Preliminary Study
Bibliographic record
Abstract
Intra-articular injections of hyaluronic acid are a valid treatment option for patients with osteoarthritis. Differences in purity, origin, and molecular weight may influence the efficacy and safety of hyaluronic acid products, therefore, we evaluated the safety, efficacy, and duration of improvements following a single intra-articular injection of a low-medium molecular weight hyaluronic acid product of bacterial synthesis, Sinovial® One, on patients with osteoarthritis of the knee. The double-blind study enrolled 21 patients (24 knees) with symptomatic knee osteoarthritis, classified into moderate, severe and very severe osteoarthritis using the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) pain functional Index and the Kellgren and Lawrence scales. At four months there was improvement in measured clinical parameters in 77.6% of the 24 treated knees, particularly in patients with moderate and severe osteoarthritis (improvement in 100% and 66.7%, respectively). No local or systemic adverse events were observed. These preliminary findings suggest that Sinovial® One is safe and effective for patients with knee osteoarthritis, providing long-lasting improvement in clinical parameters.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".