Safety and Efficacy of Open-label Subcutaneous Ixekizumab Treatment for 48 Weeks in a Phase II Study in Biologic-naive and TNF-IR Patients with Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate ixekizumab, an anti-interleukin 17A monoclonal antibody, for safety and effectiveness through 64 weeks in biologic-naive and tumor necrosis factor-inadequate responder (TNF-IR) patients with rheumatoid arthritis. METHODS: Patients completing the 16-week double-blind period of a phase II study were eligible to enter the open-label extension (OLE) for an additional 48 weeks of ixekizumab treatment. After a treatment hiatus between weeks 10 to 16, 232 biologic-naive and 158 TNF-IR patients entered the OLE with all patients receiving 160 mg ixekizumab at weeks 16, 18, and 20, and then every 4 weeks through Week 64. RESULTS: A total of 201 (87%) biologic-naive and 99 (62%) TNF-IR patients completed the OLE. Treatment-emergent adverse events (AE) occurred in 168 (72%) biologic-naive and 115 (73%) TNF-IR patients during the OLE. Most AE were mild to moderate in severity and did not lead to study discontinuation. Serious AE (SAE) occurred in 17 (7%) biologic-naive patients, including 5 (2%) serious infections and 2 (1%) deaths. SAE occurred in 18 (11%) TNF-IR patients, including 4 (3%) serious infections and 1 (1%) death. No mycobacterial or invasive fungal infections were reported. Clinical responses [American College of Rheumatology (ACR) 20, ACR50, ACR70, and 28-joint Disease Activity Score with C-reactive protein] observed at Week 16 were maintained or improved through Week 64. CONCLUSION: Ixekizumab was well tolerated, and safety findings in the OLE were consistent overall with those in the double-blind period of this study. Clinical improvements observed with ixekizumab through Week 16 were maintained or improved in patients participating in the OLE through Week 64. TRIAL REGISTRATION NUMBER: NCT00966875.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".