Safety study of intraarticular injection of interleukin 1 receptor antagonist in patients with painful knee osteoarthritis: a multicenter study.
Bibliographic record
Abstract
OBJECTIVE: Interleukin 1 (IL-1) plays a pivotal role in the pathogenesis of osteoarthritis (OA). In animal models of OA, IL-1 blockade by IL-1 receptor antagonist (IL-1Ra) can slow the progression of disease. We examined the safety of intraarticular (IA) injections of recombinant human IL-1Ra in patients with knee OA. METHODS: A prospective multicenter trial was conducted using the continual reassessment method. Six doses were considered, 0.05 mg up to 150 mg IL-1Ra, and the trial was double-blind regarding the dose administered. Patients with symptomatic knee OA and without synovial fluid effusion were included. Acute inflammatory reaction (the primary endpoint defining intolerance) was recorded if pain increase over 30 mm on 100 mm visual analog scale and synovial fluid effusion occurred within 72 h after the IA injection. As a secondary aim, efficacy was estimated (by total pain and Western Ontario and McMaster University OA functional index) until Month 3. RESULTS: One patient received 0.05 mg and 13 patients received 150 mg of IL-1Ra. No acute reaction occurred (one patient experienced postinjection joint swelling with no pain) and the 150 mg dose was considered the maximum tolerated dose (intolerance level 0%; confidence interval 0, 9.1%). A significant improvement was still observed until Month 3 in the 13 patients who received 150 mg IL-1Ra: pain improved by -20.4 +/- 23.3 mm (p = 0.008) and WOMAC global score by -19.5 +/- 20.1 (p = 0.005). CONCLUSION: IA injection of IL-1Ra in patients with knee OA was well tolerated and did not induce any acute inflammatory reaction. The feasibility of such IA injections of IL-1Ra opens a promising therapeutic perspective for patients with 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 | 0.000 | 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".