Is the Rate of Responders to Hyaluronic Acid Injection for Patients with Knee Osteoarthritis Stable Over Time? Post hoc Analyses of a 6-Month Follow-Up Study
Bibliographic record
Abstract
INTRODUCTION: ) over a 24-week period in patients with knee osteoarthritis was published. The objective of the present study is to assess if a short-term response to a single injection of sodium hyaluronate plus sorbitol can be maintained over a 6 month-period and if the maintenance of the response to treatment is dependent on the functional status at baseline. METHODS: Responders to treatment at days 28, 84, and 168 were evaluated according to the responder criteria proposed by the OMERACT-OARSI. The Western Ontario and McMaster Universities Arthritis Index (WOMAC) was used to assess functional status at baseline. All analyses were adjusted for age, gender, BMI, and baseline WOMAC total score using data from the intention-to-treat (ITT) population. RESULTS: , 59.38% were responders at day 28 according to the OMERACT/OARSI responder criteria, 59.78% at day 84, and 64.52% at day 168. Among the responders at D28, the probability of being responder at D84 and D168 was significantly higher than among non-responders, with corresponding odds ratio (95% CI) of 2.85 (1.07-7.59) and 7.28 (2.53-20.93), respectively. Patients with a poorer physical function at baseline were more likely to respond to the treatment at all time points, compared to those with a better physical function (OR 3.74 [1.37-10.21]). CONCLUSIONS: An early response of a single injection of sodium hyaluronate plus sorbitol is predictive of long-term response, up to 24 weeks. Patients with a poorer physical function may best benefit from the treatment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".