Ixekizumab treatment for psoriasis: integrated efficacy analysis of three double-blinded, controlled studies (UNCOVER-1, UNCOVER-2, UNCOVER-3)
Bibliographic record
Abstract
BACKGROUND: Ixekizumab, a high-affinity monoclonal antibody that selectively targets interleukin (IL)-17A, is approved for the treatment of moderate-to-severe psoriasis. OBJECTIVES: This analysis represents an overview of the efficacy outcomes from three phase III psoriasis studies. METHODS: Data were integrated from the 12-week induction period of three studies in which patients received ixekizumab 80 mg every 2 weeks (IXE Q2W; n = 1169) or every 4 weeks (IXE Q4W; n = 1165) after an initial 160-mg dose for both; etanercept (50 mg biweekly; n = 740; two studies) or placebo (n = 792). The coprimary end points were the percentages of patients with response of static Physician's Global Assessment (sPGA; score 0 or 1) and ≥ 75% improvement in baseline Psoriasis Area and Severity Index (PASI 75) at week 12. Response rates were compared between treatments using the Cochran-Mantel-Haenszel test stratified by study. Treatment comparisons with placebo included data from three studies, whereas etanercept comparisons were based on two studies. RESULTS: Ixekizumab treatment was superior to placebo (P < 0·001) and etanercept (P < 0·001) on sPGA (0, 1) and PASI 75, with significant differences in PASI improvement at week 1. With IXE Q2W, at week 12, the frequencies of patients achieving PASI 75, 90 and 100 were nearly 90%, 70% and 40%, respectively. Ixekizumab-treated patients showed significantly greater improvement vs. placebo and etanercept in percentage body surface area involvement and fingernail psoriasis. IXE Q2W was superior to IXE Q4W on all treatment outcomes. CONCLUSIONS: Ixekizumab therapy at both dosing regimens demonstrated rapid onset and superior efficacy to placebo and etanercept, with IXE Q2W providing better outcomes than IXE Q4W during the first 12 weeks of treatment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".