Improvement in itch and other psoriasis symptoms with brodalumab in phase 3 randomized controlled trials
Bibliographic record
Abstract
BACKGROUND: Patients with psoriasis have lesional symptoms, including itch, which can reduce quality of life. The efficacy and safety of brodalumab, an interleukin-17 receptor A antagonist, in treating moderate-to-severe psoriasis have been reported in three randomized, controlled, phase 3 trials (AMAGINE-1/-2/-3). OBJECTIVE: The effect of brodalumab on lesional symptoms was assessed using the psoriasis symptom inventory (PSI), a validated patient-reported instrument. METHODS: Patients were randomized to receive brodalumab (140 or 210 mg every 2 weeks [Q2W]), placebo (AMAGINE-1/-2/-3), or ustekinumab (AMAGINE-2/-3) during a 12-week induction phase, followed by a maintenance phase through week 52. Patients electronically rated the severity of PSI items (itch, burning, stinging, pain, redness, scaling, cracking and flaking) during the previous 24 h on a scale of 0 (not at all severe) to 4 (very severe). At each visit, the PSI total score responder status was assessed, with responders defined as having an average weekly total inventory score ≤8 with no item score >1 at week 12. RESULTS: Across AMAGINE-1/-2/-3, brodalumab was associated with improvements in PSI total scores and itch scores vs. placebo from week 2 through week 12 (P < 0.001 in both domains). In AMAGINE-2/-3, brodalumab 210 mg Q2W demonstrated faster onset of PSI total score and itch responses (week 2, 22.1% and 36.4%, respectively) vs. ustekinumab (week 2, 6.9% and 17.1%, respectively) and was associated with improved itch responses vs. ustekinumab after 52 weeks of constant treatment. CONCLUSION: Brodalumab demonstrated rapid, robust improvements in symptoms assessed by the PSI, including itch, vs. placebo and ustekinumab.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| 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 | 0.000 |
| 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".