Malignancy Rates in Brodalumab Clinical Studies for Psoriasis
Bibliographic record
Abstract
BACKGROUND: Brodalumab is a fully human anti-interleukin-17 receptor A monoclonal antibody efficacious for the treatment of adults with moderate-to-severe plaque psoriasis. OBJECTIVE: This study summarizes malignancy rates in psoriasis clinical studies of brodalumab. METHODS: Data were pooled from one phase II study and three large, multicenter, phase III randomized studies of brodalumab for the treatment of psoriasis, including two studies with randomization to brodalumab, ustekinumab, or placebo. Data from the 52-week (brodalumab and ustekinumab) and long-term (brodalumab) pools were summarized as exposure-adjusted or follow-up time-adjusted event rates per 100 patient-years (PY). RESULTS: Exposure-adjusted event rates per 100 PY at 52 weeks were lower with brodalumab (n = 4019; 3446 total PY of exposure) than with ustekinumab (n = 613; 495 total PY of exposure), including adjudicated malignancies (0.9 vs 2.6) and Surveillance, Epidemiology, and End Results (SEER)-adjudicated malignancies (0.3 vs 0.4). The exposure-adjusted event rate of adjudicated malignancies in the brodalumab group remained stable in the long-term analysis (0.9 [82 events]). CONCLUSIONS: Rates of malignancy among brodalumab-treated patients with psoriasis were generally low. TRIAL REGISTRY: ClinicalTrials.gov identifier NCT00975637; NCT01101100; NCT01708590 (AMAGINE-1); NCT01708603 (AMAGINE-2); NCT01708629 (AMAGINE-3).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".