Long-Term Safety and Efficacy with Roflumilast Cream 0.15% in Patients Aged ≥6 Years with Atopic Dermatitis: A Phase 3 Open-Label Extension Trial
Bibliographic record
Abstract
Abstract: Background: Safety and efficacy of roflumilast cream 0.15% for atopic dermatitis (AD) were demonstrated in two 4-week phase 3 trials. Objective: Evaluate long-term safety, tolerability, and efficacy of roflumilast cream 0.15% in AD. Methods: In this open-label extension (OLE) trial (INTEGUMENT-OLE; NCT04804605), patients aged ≥6 years who completed one of the 4-week phase 3 trials applied roflumilast for up to 52 weeks. After 4 weeks of once-daily application, patients who achieved Validated Investigator Global Assessment for AD (vIGA-AD) of clear (0) switched to twice-weekly (BIW) application to normal-appearing flare-prone areas (proactive treatment). Results: Among 657 patients treated, 36.7% reported adverse events, including 4.7% that were treatment related. Application site pain and stinging/burning that caused definite discomfort at any visit were reported for 0.5% and 0.4%–2.1% of patients, respectively. Patients who achieved vIGA-AD 0 and switched to proactive BIW application maintained vIGA-AD 0/1 (almost clear) for a median of 281 days (Kaplan–Meier estimate). Conclusion: Roflumilast cream 0.15% was well tolerated for up to 56 weeks. BIW application to normal-appearing flare-prone sites maintained improvement in AD signs and symptoms, showing that proactive treatment represents an alternative to the current standard practice of reactive treatment.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".