Phase 2B randomized study of nemolizumab in adults with moderate-to-severe atopic dermatitis and severe pruritus
Bibliographic record
Abstract
BACKGROUND: Nemolizumab targets the IL-31 receptor α subunit involved in atopic dermatitis (AD) pathogenesis. OBJECTIVE: We sought to evaluate a new dosing strategy of nemolizumab in patients with AD. METHODS: We performed a 24-week, randomized, double-blind, multicenter study of nemolizumab (10, 30, and 90 mg) subcutaneous injections every 4 weeks versus placebo, with topical corticosteroids in adults with moderate-to-severe AD, severe pruritus, and inadequate control with topical treatment (n = 226). The Eczema Area and Severity Index (EASI), the peak pruritus (PP) numeric rating scale (NRS), and the Investigator's Global Assessment (IGA) were assessed. Standard safety assessments were performed. RESULTS: Nemolizumab improved EASI, IGA, and/or NRS-itch scores, with the 30-mg dose being most effective. Nemolizumab (30 mg) reduced EASI scores versus placebo at week 24 (-68.8% vs -52.1%, P = .016); significant differences were observed by week 8 (P ≤ .01). With significant improvement (P = .028) as early as week 4, IGA 0/1 rates were higher for 30 mg of nemolizumab versus placebo at week 16 (33.3% vs 12.3%, P = .008) but not week 24 because of an increased placebo/topical corticosteroid effect (36.8% vs 21.1%, P = .06). PP-NRS scores were improved for 30 mg of nemolizumab versus placebo at week 16 (-68.6% vs -34.3%, P < .0001) and week 24 (-67.3% vs -35.8%, P < .0001), with a difference by week 1 (P < .001). NRS response rates (≥4-point decrease) were greater for 30 mg of nemolizumab versus placebo at week 16 (P ≤ .001) and week 24 (P ≤ .01). Nemolizumab was safe and well tolerated. The most common adverse events were nasopharyngitis and upper respiratory tract infection. CONCLUSIONS: Nemolizumab resulted in rapid and sustained improvements in cutaneous signs of inflammation and pruritus in patients with AD, with maximal efficacy observed at 30 mg. Nemolizumab had an acceptable safety profile.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".