Infections from seven clinical trials of ixekizumab, an anti-interleukin-17A monoclonal antibody, in patients with moderate-to-severe psoriasis
Bibliographic record
Abstract
BACKGROUND: Infections are associated with biological therapies in psoriasis. OBJECTIVES: To summarize the incidence of infections in patients with moderate-to-severe psoriasis treated with ixekizumab, an anti-interleukin-17A monoclonal antibody. METHODS: Infections are summarized from an integrated database of seven controlled and uncontrolled ixekizumab psoriasis trials. Data are presented from placebo-controlled induction (weeks 0-12; UNCOVER-1, UNCOVER-2 and UNCOVER-3) and maintenance periods (weeks 12-60; UNCOVER-1 and UNCOVER-2), and all patients exposed to ixekizumab pooled from all seven trials. Comparisons with etanercept were made during the induction period of two trials (UNCOVER-2 and UNCOVER-3). Incidence and exposure-adjusted incidence rates (IRs) per 100 patient-years (PYs) are reported. RESULTS: Overall, 4209 patients were treated with ixekizumab (6480 PY). During induction (weeks 0-12), overall infection rates were higher in patients treated with ixekizumab (27%) vs. placebo (23%, P < 0·05); however, specific infection rates were comparable overall across treatment groups. IRs of infections did not increase with longer-term exposure. For all patients treated with ixekizumab (all seven trials), the incidence of serious infections was low (2%, IR 1·3). Candida infections, including eight cases of oesophageal candidiasis, were adequately managed with antifungal therapy, were noninvasive and did not lead to discontinuation. CONCLUSIONS: Overall, infections occurred in a higher percentage of patients treated with ixekizumab vs. placebo during the first 12 weeks of treatment; however, specific infection rates were comparable overall across treatment groups. Incidences of serious infections were low and similar across treatment groups.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".