Efficacy and Safety of One Shot of Hyaluronic Acid in Hip Osteoarthritis: Postmarketing Clinical Follow-Up for Real-World Evidence
Bibliographic record
Abstract
Purpose: This study aims to evaluate the real-world efficacy and safety of intra-articular (IA) hyaluronic acid (HA) injections in patients with hip osteoarthritis (OA). Given the increasing burden of hip osteoarthritis and limited evidence supporting viscosupplementation in this context, this research aims to provide valuable insights under real clinical practice conditions. Patients and Methods: An observational, cross-sectional and retrospective study was conducted in a cohort of patients with hip OA treated with a single injection of HA (Adant One, Meiji Pharma Spain, Spain) from January 2021 to December 2022. Data on patient demographics, clinical characteristics, and treatment outcomes were collected. Efficacy regarding pain relief and/or function improvement was assessed at 6 months using the Visual Analogue Scale (VAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Data were pseudonymized. The study was approved by the Research Ethics Committee of the Autonomous Community of Aragon (CEICA). Results: The study included 40 patients with a mean age of 62.8 years, with 72.5% being female. Significant improvement was observed six-months post-treatment: 25% and 18.5% reduction in pain (VAS and WOMAC, respectively), 11.6% improvement in function (WOMAC), 7.4% improvement in stiffness (WOMAC), and 13.6% improvement in total WOMAC. No adverse events were reported. Conclusion: A single injection of IA HA significantly improved pain and function in patients with hip OA. These findings support the use of viscosupplementation for hip OA management and underscore the need for further studies to confirm these results and assess the long-term benefits of IA HA in hip OA.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".