Ixekizumab—An Effective and Safe Treatment for Moderate-to-Severe Plaque Psoriasis in Patients Previously Treated With Other IL-17 Inhibitors: Results From IXORA-P
Bibliographic record
Abstract
Background: The impact of treatment with interleukin 17 (IL-17) inhibitors on the efficacy of subsequent IL-17 inhibitor therapy is unknown. Objective: To evaluate the impact of previous treatment with IL-17 inhibitors on the 52-week efficacy of ixekizumab in patients with moderate-to-severe psoriasis. Methods: In a phase 3, randomized, double-blinded trial (IXORA-P; NCT02513550), patients with moderate-to-severe plaque psoriasis were randomized (2:1:1) to ixekizumab 80 mg every 2 weeks (IXE Q2W, n = 611), every 4 weeks (IXE Q4W, n = 310), or IXE Q4W/IXE Q2W dose adjustment (per predefined criteria; n = 306). Psoriasis Area and Severity Index 75%, 90%, and 100% response rates (PASI 75, PASI 90, and PASI 100) were assessed. Results: Overall, 288 (23.5%) of 1227 patients were IL-17 inhibitor experienced (brodalumab, 22.6%; secukinumab, 1.1%). The PASI 75, 90, and 100 at week 52 were similar between IL-17 inhibitor-naive and IL-17 inhibitor-experienced patients. The PASI 75 at week 52 for IL-17 inhibitor-naive and -experienced patients was 85% and 89% (IXE Q2W), 79% and 81% (IXE Q4W), and 83% and 85% (IXE Q4W/IXE Q2W), respectively. The PASI 90 at week 52 for IL-17 inhibitor-naive and -experienced patients was 79% and 82% (IXE Q2W), 65% and 67% (IXE Q4W), and 73% and 75% (IXE Q4W/IXE Q2W), respectively. The PASI 100 at week 52 for IL-17 inhibitor-naive and -experienced patients was 60% and 59% (IXE Q2W), 44% and 42% (IXE Q4W), and 49% and 52% (IXE Q4W/IXE Q2W), respectively. Safety findings were generally similar between IL-17 inhibitor-naive and -experienced patients. Conclusion: Ixekizumab was demonstrated to be an effective and safe therapeutic option for patients previously treated with other IL-17 inhibitors.
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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) | 0.001 | 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".