Evaluation of the Effectiveness of Hyaluronic Acid Injections in Treatment of Small Joint Osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis is an incurable, progressive, degenerative and debilitating joint disease, characterized by pain, stiffness and limitation of joint mobility. Treatment is limited to symptom management and includes pharmaco- and physiotherapy, rehabilitation and surgery. OBJECTIVE: To evaluate safety and effectiveness of a selected hyaluronic acid injectable in the treatment of small joint osteoarthritis. MATERIALS AND METHODS: 324 patients (F: 190, M: 134) aged 19-84 completed the study. Each participant received three, weekly intra-articular hyaluronic acid injections (Suplasyn®, Bioniche Life Sciences Inc, Belleville, Ontario; 700 kDa, 7 ml/7 mg). Morning stiffness and pain intensity (at rest and movement-induced) before and after treatment as well as post-treatment improvement in joint mobility were assessed based on questionnaires filled out by patients and their physicians prior to treatment commencement and at its conclusion. Participants used a Numerical Rating Scale (range 0-10 points) to quantify assessments. Data was analysed with chi-square and Fisher's exact tests and p = 0.05 was accepted as significant. RESULTS: A significant (p <0.001) post-treatment reduction in (1) morning stiffness (median NRS score decrease from 6 to 2 points), (2) pain intensity at rest (median NRS score decrease from 5 to 2 points) and movement induced (median NRS value decrease from 6 to 2 points). Improvement in joint mobility was reported by 97% of patients. Treatment tolerability (safety) was assessed as good to excellent by 25 % and 74% of patients, respectively. No serious adverse reactions were reported. CONCLUSION: Hyaluronic acid injections are a highly effective and safe treatment for symptomatic small joint osteoarthritis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".