Ruxolitinib cream monotherapy demonstrates rapid improvement in the extent and signs of mild to moderate atopic dermatitis across head and neck and other anatomic regions in adolescents and adults: pooled results from 2 phase 3 studies
Bibliographic record
Abstract
Purpose: Ruxolitinib (selective Janus kinase [JAK] 1 and JAK2 inhibitor) cream demonstrated efficacy and safety in patients with atopic dermatitis (AD) in the phase 3 TRuE-AD studies. In TRuE-AD1/TRuE-AD2 (NCT03745638/NCT03745651), adults and adolescents with mild to moderate AD were randomized to apply twice-daily ruxolitinib cream or vehicle for eight weeks. Here, we evaluated the efficacy and tolerability of ruxolitinib cream by anatomic region, focusing on head/neck (HN) lesions that are typically difficult to manage and disproportionately affect quality of life (QoL).Materials and methods: Eczema Area and Severity Index (EASI) responses in anatomic regions were evaluated in the pooled population (N = 1208) and among patients with baseline HN involvement (n = 663). Itch, Investigator’s Global Assessment (IGA), QoL, and application site tolerability were also assessed.Results: By Week 2 (earliest assessment), ruxolitinib cream application resulted in significant improvements across all EASI anatomic region subscores and AD signs versus vehicle, with further improvements through Week 8. Significantly more patients with HN involvement who applied ruxolitinib cream versus vehicle achieved clinically meaningful improvements in itch, IGA, and QoL. Application site reactions with ruxolitinib cream were infrequent (<3%), including in patients with HN involvement.Conclusions: These results support the use of ruxolitinib cream for AD treatment across all anatomic regions, including HN.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".