Once-daily roflumilast foam 0.3% for scalp and body psoriasis: a randomized, double-blind, vehicle-controlled phase IIb study
Bibliographic record
Abstract
BACKGROUND: Scalp psoriasis affects most patients with psoriasis, but it can be difficult to treat. OBJECTIVES: To evaluate the efficacy and safety of once-daily roflumilast foam 0.3% on scalp and body psoriasis. METHODS: In a phase IIb randomized controlled trial, adults and adolescents aged ≥ 12 years with scalp and body psoriasis were randomized (2 : 1) to roflumilast foam 0.3% or vehicle for 8 weeks. The primary efficacy endpoint was scalp Investigator Global Assessment (S-IGA) success (score of 'clear' or 'almost clear' plus ≥ 2-grade improvement from baseline) at week 8. Safety and tolerability were also evaluated. RESULTS: Significantly more roflumilast-treated patients (59.1%) than vehicle-treated patients (11.4%) achieved S-IGA success at week 8 (P < 0.001); differences favoured roflumilast as early as the first postbaseline visit at week 2 (P < 0.001). Significant improvements were also seen for secondary endpoints, including body IGA success, Scalp Itch Numeric Rating Scale and the Psoriasis Scalp Severity Index. The safety of roflumilast was generally similar to vehicle. Patients treated with roflumilast experienced low rates of treatment-emergent adverse events (AEs), with few discontinuations due to an AE. Few patients with skin of colour (11%) and few adolescents (0.7%) were included. CONCLUSIONS: The results support the further development of roflumilast foam for treating scalp and body psoriasis.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".