Efficacy and safety of dupilumab with concomitant topical corticosteroids in children 6 to 11 years old with severe atopic dermatitis: A randomized, double-blinded, placebo-controlled phase 3 trial
Bibliographic record
Abstract
BACKGROUND: Children with severe atopic dermatitis (AD) have limited treatment options. OBJECTIVE: We report the efficacy and safety of dupilumab + topical corticosteroids (TCS) in children aged 6-11 years with severe AD inadequately controlled with topical therapies. METHODS: In this double-blind, 16-week, phase 3 trial (NCT03345914), 367 patients were randomized 1:1:1 to 300 mg dupilumab every 4 weeks (300 mg q4w), a weight-based regimen of dupilumab every 2 weeks (100 mg q2w, baseline weight <30 kg; 200 mg q2w, baseline weight ≥30 kg), or placebo; with concomitant medium-potency TCS. RESULTS: Both the q4w and q2w dupilumab + TCS regimens resulted in clinically meaningful and statistically significant improvement in signs, symptoms, and quality of life (QOL) versus placebo + TCS in all prespecified endpoints. For q4w, q2w, and placebo, 32.8%, 29.5%, and 11.4% of patients, respectively, achieved Investigator's Global Assessment scores of 0 or 1; 69.7%, 67.2%, and 26.8% achieved ≥75% improvement in Eczema Area and Severity Index scores; and 50.8%, 58.3%, and 12.3% achieved ≥4-point reduction in worst itch score. Response to therapy was weight-dependent: optimal dupilumab doses for efficacy and safety were 300 mg q4w in children <30 kg and 200 mg q2w in children ≥30 kg. Conjunctivitis and injection-site reactions were more common with dupilumab + TCS than with placebo + TCS. LIMITATIONS: Short-term 16-week treatment period; severe AD only. CONCLUSION: Dupilumab + TCS is efficacious and well tolerated in children with severe AD, significantly improving signs, symptoms, and QOL.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".