The Efficacy and Safety of Single Injections of Hybrid HA in the Treatment of Symptomatic Knee Osteoarthritis: A Case Series
Bibliographic record
Abstract
INTRODUCTION: The prevalence of knee osteoarthritis (OA) is rising worldwide, leading to disability and a reduced quality of life, particularly in elderly patients. While there are several treatment options, there is little consensus in the scientific community over which methods are most effective. Viscosupplementation with hyaluronic acid (HA) has been found to reduce pain in patients with knee OA over a period of up to 6 months, with little to no side effects. The aim of this prospective open-label, uncontrolled, observational, single-site study was to assess the efficacy and safety of a single hybrid HA injection over a period of 6 months in subpopulations of patients with low to severe symptomatic knee OA in everyday clinical practice. METHODS: Fifty patients who met the inclusion criteria participated in the study. A single intra-articular ultrasound-guided injection of hybrid HA (Sinovial®) was administered. Patients submitted Visual Analog Scale (VAS) and Western Ontario and McMaster Universities Arthritis Index (WOMAC) questionnaires at 28, 42, 84, and 168 days post-treatment. RESULTS: VAS scores measured at rest and when walking indicate an improvement during follow-up, particularly at 28 and 42 days, compared to baseline. Similarly, the most notable improvement of the WOMAC score was observed within the first 42 days after injection. While decrease in pain and joint function improvement were not as pronounced at the end of follow-up, they were still statistically better than at baseline. Overall patient satisfaction was high. CONCLUSION: Treatment with a single injection of hybrid HA was demonstrated to be safe and effective in patients with varying degrees of knee OA. Patients with medial knee OA responded better to treatment than patients with patellofemoral OA, which provides information on which types of patients are best suited to this intervention. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT06652893. Retrospectively registered October 10, 2024.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".