Safety and pharmacokinetics of EP-104IAR (sustained-release fluticasone propionate) in knee osteoarthritis: A randomized, double-blind, placebo-controlled phase 1 trial
Bibliographic record
Abstract
Objective: EP-104IAR is a novel, sustained-release, intra-articular (IA) formulation of the corticosteroid fluticasone propionate (FP), in development for the treatment of osteoarthritis (OA) pain. This study evaluated the safety, pharmacokinetics (PK) and efficacy of a single dose of EP-104IAR in patients with OA of the knee. Design: This was a multi-center, randomized, double-blind, placebo-controlled trial performed at 3 sites in Canada. Subjects with moderate to severe pain received either a single dose of the investigational product EP-104IAR (15 mg) or placebo (vehicle) and were evaluated for up to 42 weeks. The primary outcome measures were safety and PK. The study was not powered to assess efficacy, however patient reported outcome measures were analyzed to evaluate pain and symptom relief. Results: Thirty-two subjects were randomized (21 women, 11 men, mean age: 64.8 years). EP-104IAR was well tolerated. Average serum cortisol levels showed no clinically significant deviations compared to placebo and remained within the normal range of cortisol variation. Plasma PK concentrations were within acceptable safety margins, compared to marketed FP products. Synovial fluid FP levels were approximately 2 orders of magnitude higher and at efficacious concentrations for most subjects. Efficacy evaluations indicated that EP-104IAR provided an immediate improvement of OA symptoms and these effects persisted for 8-12 weeks consistently across all measures. Conclusions: This study provides evidence that 15 mg of EP-104IAR is well tolerated and has the potential for efficacy in OA patients. These data support further examination of EP-104IAR in larger clinical studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".