Spesolimab, an anti‐interleukin‐36 receptor antibody, in patients with moderate‐to‐severe atopic dermatitis: Results from a multicentre, randomized, double‐blind, placebo‐controlled, phase <scp>IIa</scp> study
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a chronic relapsing inflammatory skin disease, and there is increasing evidence that the interleukin (IL)-36 pathway may play a role in the pathogenesis of AD. OBJECTIVES: To evaluate the efficacy and safety of spesolimab, a novel anti-IL-36 receptor antibody, in adult patients with moderate-to-severe AD. METHODS: In this phase IIa study, 51 eligible patients were randomized 2:1 to receive intravenous doses of spesolimab 600 mg or placebo every 4 weeks. The primary endpoint was the percentage change from baseline in Eczema Area and Severity Index (EASI) score at Week 16. RESULTS: The decrease in EASI score from baseline to Week 16 was -37.9% for spesolimab versus -12.3% for placebo (adjusted mean difference -25.6%, p = 0.149). A predefined sensitivity analysis, excluding data from patients who used restricted corticosteroids, resulted in an adjusted mean difference of -48.3% (nominal p = 0.024). Spesolimab was well tolerated, with no clinically relevant safety signals. CONCLUSIONS: This is the first study to evaluate the IL-36 pathway inhibition in AD. Although not statistically significant, numerical improvements were observed in the primary endpoint of change from baseline in the EASI score. Spesolimab had an acceptable safety profile, with no unexcepted safety concerns.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".