Nonanimal Hyaluronic Acid for the Treatment of Ankle Osteoarthritis: AProspective, Single-Arm Cohort Study
Bibliographic record
Abstract
Ankle osteoarthritis (OA) can cause disabling symptoms, and some patients prefer to be treated with minimally invasive procedures. Nonanimal hyaluronic acid (NASHA) is a cross-linked hyaluronic acid product that has a prolonged intra-articular residence time. The authors report the first study of NASHA for the treatment of ankle OA. Thirty-seven patients with Kellgren-Lawrence grade II or III ankle OA received an intra-articular injection of NASHA (1 mL). Outcomes included visual analogue scale (VAS) scores for pain and disability. At baseline, the mean VAS pain score was 50.1 ± 14.5mm. During the 26-week follow-up period, the least squares (LS) mean change from baseline in the ankle OA VAS pain score was -20.5mm (95% confidence interval [CI] -25.5 to -15.6 mm), an LS mean percentage reduction of 40.0% (95% CI 30.2% to 49.9%). The LS mean change from baseline in the VAS disability score during 26 weeks was -19.2mm (95% CI -24.8 to -13.6 mm), a percentage reduction of 34% (95% CI 22.3% to 45.7%). Five participants experienced a total of 7 adverse events considered to be related to study treatment (injection site pain, n = 3; injection site joint pain, n = 3; plantar fasciitis, n = 1). This study shows promise for viscosupplementation with NASHA in the treatment of ankle OA. A single injection was associated with clinically meaningful reductions in pain and disability during a 26-week period and, in general, was well tolerated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".