Safety of Ixekizumab in Adult Patients with Moderate-to-Severe Psoriasis: Data from 17 Clinical Trials with Over 18,000 Patient-Years of Exposure
Bibliographic record
Abstract
INTRODUCTION: We report a comprehensive summary of the safety outcomes in adult patients with moderate-to-severe psoriasis with up to 5 years of exposure to ixekizumab. METHODS: Long-term safety of the IL-17A antagonist ixekizumab was assessed from 17 randomized trials. Treatment-emergent adverse events (TEAEs)-adjusted incidence rates (IRs) per 100 patient-years (PY) within 1-year time periods through 19 March 2021 were calculated for all patients treated with at least one dose of ixekizumab. Reported cases of major adverse cerebro-cardiovascular events (MACE) and inflammatory bowel disease (IBD) were adjudicated. RESULTS: A total of 6892 adult patients with a cumulative exposure of 18,025.7 PY were included. The IRs per 100 PY for any TEAE and serious adverse events (AEs) were 32.5 and 5.4. IR of discontinuation because of AE was 2.9. A total of 36 deaths were reported. IR of serious infections was low (1.3). There were no confirmed cases of reactivation of tuberculosis (TB). IR of Candida infections (IR 1.9) was low; most cases of Candida were localized, and no systemic cases were reported. IRs of injection site reactions and allergic/hypersensitivity were 5.9 and 5.6, respectively. No confirmed cases of anaphylaxis were observed. IRs were low for malignancies, depression, cytopenia, and MACE (all ≤ 1.2). IBD events were uncommon, although a total of 31 patients (IR 0.2) had confirmed IBD (ulcerative colitis, n = 18; Crohn disease, n = 13). Across safety topics, IRs decreased or remained constant over time. CONCLUSIONS: The long-term safety profile for ixekizumab is consistent with that previously reported in patients with psoriasis. No new or unexpected safety events were detected.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".