Upadacitinib for moderate‐to‐severe atopic dermatitis: Stratified analysis from three randomized phase 3 trials by key baseline characteristics
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a heterogeneous inflammatory skin disease with different clinical phenotypes based on factors such as age, race, comorbidities, and clinical signs and symptoms. The effect of these factors on therapeutic responses in AD has only been scarcely studied and not for upadacitinib. Currently, there is no biomarker predicting response to upadacitinib. OBJECTIVES: Evaluate the efficacy of the oral Janus kinase inhibitor upadacitinib across patient subgroups (baseline demographics, disease characteristics and prior treatment) in patients with moderate-to-severe AD. METHODS: Data from phase 3 studies (Measure Up 1, Measure Up 2 and AD Up) were utilized for this post hoc analysis. Adults and adolescents with moderate-to-severe AD were randomized to receive once daily oral upadacitinib 15 mg, upadacitinib 30 mg or placebo; patients enrolled in the AD Up study received concomitant topical corticosteroids. Data from the Measure Up 1 and Measure Up 2 studies were integrated. RESULTS: A total of 2584 patients were randomized. A consistently greater proportion of patients achieved at least 75% improvement in the Eczema Area and Severity Index, a 0 or 1 on the validated Investigator Global Assessment for Atopic Dermatitis, and improvement in itch (including an achievement of a reduction of ≥4; and score of 0/1 in Worst Pruritus Numerical Rating Scale) with upadacitinib compared with placebo at Week 16, regardless of age, sex, race, body mass index, AD severity, body surface area involvement, history of atopic comorbidities or asthma, or previous exposure to systemic therapy or cyclosporin. CONCLUSIONS: Upadacitinib had consistently high skin clearance rates and itch efficacy across subgroups of patients with moderate-to-severe AD through Week 16. These results support upadacitinib as a suitable treatment option in a variety of patients. TRIAL REGISTRATION: ClinicalTrials.gov Identifiers: NCT03569293 (Measure Up 1), NCT03607422 (Measure Up 2) and NCT03568318 (AD Up).
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".