Long‐term safety profile of ixekizumab in patients with moderate‐to‐severe plaque psoriasis: an integrated analysis from 11 clinical trials
Bibliographic record
Abstract
BACKGROUND: Psoriasis in many patients is a chronic and recalcitrant disease that requires long-term treatment, reinforcing the importance of long-term safety data. Ixekizumab, a high-affinity monoclonal antibody that selectively targets interleukin (IL)-17A, is approved for treating patients with moderate-to-severe plaque psoriasis. OBJECTIVE: To determine long-term safety of ixekizumab in psoriasis. METHODS: Integrated safety data are presented from 12-week induction period, 12-60-week maintenance period, and from all ixekizumab-treated patients from 11 clinical studies. Exposure-adjusted incidence rates (IRs) per 100 patient-years are reported. RESULTS: Overall, 5689 patients accounted for 12 061.5 patient-years of ixekizumab exposure from 11 studies. Over 156 weeks, a total of 83.9% (n = 4775) of patients reported treatment-emergent adverse events (AEs). Most opportunistic infections (IR [95% confidence interval; CI] 1.8 [1.6, 2.1]) reported were mucocutaneous candidiasis. The IR (95% CI) for oral Candida infection was 0.9 (0.8, 1.1). There was no trend of increase in IR of AEs of special interest. Serious AEs were reported in 11.8% of patients; death occurred in 0.4% (n = 23) of patients. CONCLUSION: The 3-year, long-term maintenance treatment with ixekizumab did not show any new safety signals in patients with moderate-to-severe plaque psoriasis.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".