505 - Once-daily roflumilast cream 0.15% for atopic dermatitis: pooled results from INTEGUMENT-1/2 phase 3 trials
Bibliographic record
Abstract
Abstract Introduction Roflumilast cream 0.15% is a selective, highly potent phosphodiesterase 4 inhibitor under investigation as a non-steroidal, once-daily treatment for atopic dermatitis (AD). Objectives Here, pooled results from two identical Phase 3 randomized controlled trials (INTEGUMENT-1: NCT04773587 and INTEGUMENT-2: NCT04773600) are presented. Methods Patients with AD aged ≥6 years with baseline Eczema Area and Severity Index (EASI) score ≥5 and Validated Investigator Global Assessment-AD (vIGA-AD) score of Mild or Moderate were randomized 2:1 to apply roflumilast (n=884) or vehicle (n=453) once daily for 4 weeks. Results A significantly greater percentage of roflumilast- versus vehicle-treated patients achieved the primary endpoint, vIGA-AD Success (Clear or Almost Clear vIGA-AD plus ≥2-grade improvement from baseline) at Week 4 (31.3% vs. 14.1%; P<0.0001). Significant differences favoring roflumilast were observed for multiple secondary endpoints at Week 4: percentage of patients achieving vIGA-AD of Clear or Almost Clear (41.1% vs. 21.4%; P<0.0001), percentage achieving 75% reduction in EASI (42.7% vs. 20.6%; P<0.0001), and percentage with baseline Worst Itch-Numeric Rating Scale ≥4 achieving a 4-point reduction (31.9% vs. 16.6%; P<0.0001). Improvement in itch was reported as early as 24 hours. Both groups had low incidences of treatment-emergent adverse events (TEAE), serious adverse events, and TEAEs leading to discontinuation. Local tolerability was favorable, with >90% of patients reporting no or mild sensation across both treatment groups at all timepoints. Conclusions Once-daily roflumilast cream 0.15% provided improvement across multiple efficacy endpoints by Week 4 with favorable safety and tolerability in patients aged ≥6 years with AD in two Phase 3 trials.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".