Clinical outcomes from a physiotherapist‐led intra‐articular hyaluronic acid injection clinic
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Bibliographic record
Abstract
OBJECTIVES: To describe the clinical course of knee osteoarthritis following a single course of intra-articular hyaluronic acid (HA) injection clinic, and specifically to explore treatment withdrawal. DESIGN: Prospective consecutive case series with follow-up, set in an innovative physiotherapist-led clinic, based in a hospital orthopaedic surgery department. PARTICIPANTS: A total of 100 patients with knee osteoarthritis referred to the clinic received a single course of five injections of Hyalgan. Patients were followed up in clinic at five, 13, 26 and 52 weeks. The primary outcome measures were Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) Likert 3.0 pain (0-20) and physical function (0-68) scores. In addition, at 13 and 26 weeks, patients were reviewed independently by an orthopaedic surgeon, with the option of withdrawing for alternative management those patients who had not responded. RESULTS: Ninety (90%) patients were successfully followed to study endpoint. Improvements were seen at five weeks and, to a lesser extent, at 13 weeks (mean reduction in WOMAC pain at 13 weeks = 1.3; 95% confidence interval [CI] 0.5, 2.0; mean reduction in WOMAC Physical Function at 13 weeks = 5.6; 95% CI 3.0, 8.1). Of 34 treatment withdrawals, most had returned to baseline levels by 13 weeks. The remaining 56 patients maintained improvements up to 52 weeks, although the pattern of outcome was highly variable between individuals. Withdrawals and non-responders had higher initial pain severity. CONCLUSIONS: Physiotherapist-led intra-articular HA clinics are feasible. Clinical outcomes for individual patients are highly heterogeneous up to one year after injections. Patients with initially high levels of pain may be less likely to benefit.
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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) | 0.001 | 0.001 |
| 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) | 0.001 | 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 it