Upadacitinib in adults with moderate to severe atopic dermatitis: 16-week results from a randomized, placebo-controlled trial
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis is a chronic inflammatory skin disease characterized by pruritic skin lesions. OBJECTIVE: We sought to evaluate the safety and efficacy of multiple doses of the selective Janus kinase 1 inhibitor upadacitinib in patients with moderate to severe atopic dermatitis. METHODS: In the 16-week, double-blind, placebo-controlled, parallel-group, dose-ranging portion of this 88-week trial in 8 countries (ClinicalTrials.gov, NCT02925117; ongoing, not recruiting), adults with moderate to severe disease and inadequate control by topical treatment were randomized 1:1:1:1, using an interactive response system and stratified geographically, to once-daily upadacitinib oral monotherapy 7.5, 15, or 30 mg or placebo. The primary end point was percentage improvement in Eczema Area and Severity Index from baseline at week 16. Efficacy was analyzed by intention-to-treat in all randomized patients. Safety was analyzed in all randomized patients who received study medication, based on actual treatment. RESULTS: Patients (N = 167) enrolled from November 21, 2016, to April 20, 2017. All were randomized and analyzed for efficacy (each upadacitinib group, n = 42; placebo, n = 41); 166 were analyzed for safety (each upadacitinib group, n = 42; placebo, n = 40). The mean (SE) primary efficacy end point was 39% (6.2%), 62% (6.1%), and 74% (6.1%) for the upadacitinib 7.5-, 15-, and 30-mg groups, respectively, versus 23% (6.4%) for placebo (P = .03, <.001, and <.001). Serious adverse events occurred in 4.8% (2 of 42), 2.4% (1 of 42), and 0% (0 of 42) of upadacitinib groups (vs 2.5% [1 of 40] for placebo). CONCLUSIONS: A dose-response relationship was observed for upadacitinib efficacy; the 30-mg once-daily dose showed the greatest clinical benefit. Dose-limiting toxicity was not observed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.006 | 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".