Efficacy and safety of lebrikizumab (an anti-IL-13 monoclonal antibody) in adults with moderate-to-severe atopic dermatitis inadequately controlled by topical corticosteroids: A randomized, placebo-controlled phase II trial (TREBLE)
Bibliographic record
Abstract
BACKGROUND: Interleukin (IL)-13 plays a key role in type 2 inflammation and is an emerging pathogenic mediator in atopic dermatitis (AD). OBJECTIVE: We investigated the efficacy and safety of lebrikizumab, an IL-13 monoclonal antibody, as an add-on to topical corticosteroid (TCS) treatment. METHODS: A randomized, placebo-controlled, double-blind, phase 2 study. Adults with moderate-to-severe AD were required to use TCS twice daily and then randomized (1:1:1:1) to lebrikizumab 125 mg single dose, lebrikizumab 250 mg single dose, lebrikizumab 125 mg every 4 weeks for 12 weeks, or placebo every 4 weeks for 12 weeks, after a 2-week TCS run-in. The primary endpoint was percentage of patients achieving Eczema Area and Severity Index (EASI)-50 at week 12. RESULTS: In total, 209 patients received the study drug. At week 12, significantly more patients achieved EASI-50 with lebrikizumab 125 mg every 4 weeks (82.4%; P = .026) than placebo every 4 weeks (62.3%); patients receiving a single dose of lebrikizumab showed no statistically significant improvements in EASI-50 compared with placebo. Adverse events were similar between groups (66.7% all lebrikizumab vs 66.0% placebo) and mostly mild or moderate. LIMITATIONS: Protocol-mandated twice daily TCS treatment limits our understanding of the efficacy of lebrikizumab as a monotherapy. The short study duration did not enable long-term efficacy or safety evaluations. CONCLUSION: When combined with TCS, lebrikizumab 125 mg taken every 4 weeks led to a significant improvement and was well tolerated in patients with moderate-to-severe AD.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".