Clinicians’ Perspectives on the Use of Intra-Articular Hyaluronic Acid as a Treatment for Knee Osteoarthritis: A North American, Multidisciplinary Survey
Bibliographic record
Abstract
INTRODUCTION: This study aims to describe the perceptions of orthopedic surgeons on the efficacy of intra-articular hyaluronic acid (IA-HA), the influence of IA-HA product characteristics on its efficacy, and to identify patterns and factors related to the use of IA-HA. Additionally, this study examines factors that influence IA-HA brand selection, focusing on Euflexxa(®) (1% sodium hyaluronate). METHODS: We developed survey questions by reviewing the current literature and consulting with experts on the use of IA-HA in the management of knee osteoarthritis (OA). The survey included questions on demographics, previous experience with knee OA treatment, opinions on different treatment methods, and where information regarding treatments is obtained. Additionally, questions specific to opinions regarding IA-HA and the reasoning behind these opinions were asked. RESULTS: A total of 117 orthopedic surgeons and physicians completed the survey. IA-HA is most frequently prescribed to patients with early-stage (82%) or mid-stage (82.8%) OA, while fewer orthopedic surgeons and physicians use IA-HA for patients with late-stage OA (57.4%). Respondents were generally uncertain of the effects that intrinsic characteristics, such as molecular weight, cross-linking, and production process, had on patient outcomes. Respondents typically use their own clinical experience and results as a deciding factor in utilizing IA-HA treatment, as well as in choosing an IA-HA brand. CONCLUSION: Uncertainty regarding the efficacy of IA-HA treatments is likely due to inconsistency within clinical guidelines and the current literature. Additional research investigating the efficacy of IA-HA treatment and how product characteristics affect outcome and safety is required to provide clarity to the controversy surrounding IA-HA treatment for knee 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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".