Efficacy and safety of dupilumab for the treatment of moderate-to-severe atopic dermatitis in adults: A pooled analysis of two phase 2 clinical trials
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: There is a need for new treatment options for moderate-to-severe atopic dermatitis (AD) in adults. Dupilumab, a fully human anti-interleukin-4 receptor α monoclonal antibody, has recently been approved for this indication. METHODS: A pooled analysis of a phase 2a (NCT01548404) and a phase 2b (NCT01859988) study and a subanalysis of the 2b study evaluated the efficacy and safety of subcutaneous dupilumab 300 mg once weekly (qw) and every 2 weeks (q2w) in adults with moderate-to-severe AD. RESULTS: Dupilumab significantly improved clinical outcomes in both analyses at week 12. Itch was significantly improved in the pooled analysis as measured by peak pruritus Numerical Rating Scale, 5-dimension pruritus scale, and SCORing Atopic Dermatitis (SCORAD) Visual Analog Scale (VAS) pruritus scores (all p < .0001 vs. placebo at week 12). Sleep loss was significantly improved (SCORAD VAS sleep loss score; p < .0001 vs. placebo at week 12); similar results were shown for the q2w dose. Dupilumab had an acceptable safety profile. CONCLUSIONS: Consistent with previous studies, dupilumab qw and q2w significantly improved signs and symptoms of AD at week 12, including improvements in itch and sleep loss. IMPLICATIONS FOR PRACTICE: Subcutaneous dupilumab is an effective new treatment option for adults 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 | 0.022 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.019 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".