Roflumilast Cream 0.3% in Patients with Chronic Plaque Psoriasis: Pooled PASI and PASI-HD Results from the DERMIS Phase III Trials
Bibliographic record
Abstract
INTRODUCTION: Roflumilast cream 0.3% contains a selective, highly potent phosphodiesterase 4 inhibitor approved to treat plaque psoriasis. The Psoriasis Area and Severity Index (PASI)-High Discrimination (PASI-HD) is more precise than PASI when psoriasis involves < 10% of the area of an anatomic region. Clinical trials of roflumilast utilized PASI and its modified version, PASI-HD, to assess disease improvement. The objective of this analysis was to demonstrate the effect of topical roflumilast in patients with psoriasis and to compare PASI-HD with PASI. METHODS: DERMIS-1 and DERMIS-2 were phase III, 8-week, randomized, vehicle-controlled trials of once-daily roflumilast cream 0.3% in patients aged ≥ 2 years with psoriasis involving 2-20% body surface area. PASI and PASI-HD were clinical endpoint measures. RESULTS: At week 8, statistically significantly more roflumilast- than vehicle-treated patients achieved ≥ 75% reduction in PASI (40.3% vs 6.5%; P < 0.0001) and PASI-HD (59.9% vs 17.9%; P < 0.0001). Evaluations using PASI-HD resulted in larger effect sizes compared with PASI at higher levels of response. CONCLUSIONS: Roflumilast-treated patients experienced greater improvements in disease severity than vehicle-treated patients. The PASI-HD can more accurately assess disease changes compared with PASI. TRIAL REGISTRATION: ClinicalTrials.gov Identifiers: DERMIS-1, NCT04211363; DERMIS-2, NCT04211389.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".