Improvement Across Dimensions of Disease with Lebrikizumab Use in Atopic Dermatitis: Two Phase 3, Randomized, Double-Blind, Placebo-Controlled Monotherapy Trials (ADvocate1 and ADvocate2)
Bibliographic record
Abstract
INTRODUCTION: Atopic dermatitis is a complex, chronic, inflammatory skin disease that requires long-term control of symptoms like itch and sleep loss and improvement in quality of life, in addition to reduction of clinical signs. Lebrikizumab is a selective interleukin-13 inhibitor approved in the European Union, United Kingdom, United Arab Emirates, Canada, and Japan for treatment of moderate-to-severe atopic dermatitis in adults and adolescents. Here, we assess the magnitude of changes across signs and symptoms of atopic dermatitis with lebrikizumab monotherapy over the 16-week induction period in two phase 3 studies, ADvocate1 and ADvocate2. METHODS: Eligible adults (aged ≥ 18 years) and adolescents (aged 12 to < 18 years and weighing ≥ 40 kg) with moderate-to-severe atopic dermatitis were randomized to receive either 250 mg of lebrikizumab or placebo subcutaneously every two weeks. Least squares mean percentage change from baseline through week 16 was compared between lebrikizumab and placebo using mixed model repeated measure analysis for the following endpoints: Eczema Area and Severity Index (EASI), Pruritus Numeric Rating Scale (NRS), Sleep-Loss Scale, Patient-Oriented Eczema Measure (POEM), and Dermatology Life Quality Index (DLQI). RESULTS: In both trials, significant (P < 0.05) improvements were observed for lebrikizumab treatment compared with placebo at each 2-week timepoint for EASI, Pruritus NRS, Sleep-Loss Scale, and POEM, and at each 4-week timepoint for DLQI, through week 16. Statistically significant (P < 0.001) improvements were observed at 16 weeks for lebrikizumab treatment versus placebo in ADvocate1/ADvocate2 for EASI (71.9%/75.0% vs. 35.6%/43.3%), Pruritus NRS (53.3%/46.3% vs. 21.4%/18.0%), Sleep-Loss Scale (57.7%/55.6% vs. 23.9%/25.5%), POEM (54.4%/45.8% vs. 18.8%/16.9%), and DLQI (64.2%/60.5% vs. 28.5%/32.2%). Patient photos show improvements in skin appearance when disease measures improve. CONCLUSIONS: Lebrikizumab monotherapy resulted in significant and fast improvements in multiple dimensions of disease (clinical signs, symptoms, and quality of life) over 16 weeks in patients with moderate-to-severe atopic dermatitis. TRIAL REGISTRATION: ClinicalTrials.gov identifiers, NCT04146363; NCT04178967.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".