Safety of upadacitinib in moderate-to-severe atopic dermatitis: An integrated analysis of phase 3 studies
Bibliographic record
Abstract
BACKGROUND: Upadacitinib is a selective reversible Janus kinase (JAK) inhibitor with established efficacy in moderate-to-severe atopic dermatitis (AD). OBJECTIVE: We evaluated the safety of upadacitinib in patients with moderate-to-severe AD. METHODS: Integrated safety data from the 16-week placebo-controlled periods of 1 phase 2b and 3 ongoing phase 3 studies (16 weeks) and longer-term safety data from patients receiving upadacitinib during the blinded extension periods of the three phase 3 studies were analyzed (all upadacitinib exposure). Treatment-emergent adverse events (TEAEs) were presented as exposure-adjusted rates per 100 patient-years (PY). RESULTS: Safety results were similar between the 16-week and all upadacitinib exposure groups. The latter group included 2485 patients (333 adolescents), receiving upadacitinib 15 mg (n = 1239) or 30 mg (n = 1246) for a mean duration of approximately 1 year. Upadacitinib was well tolerated by both adults and adolescents. TEAEs and discontinuation due to AEs were reported more frequently in patients receiving 30 mg upadacitinib (respectively, 311.9 and 5.7 events per 100 PY) versus 15 mg (respectively, 274.6 and 4.4 events per 100 PY). Serious adverse event rates (15/30 mg, 7.1/7.7 events per 100 PY) were similar in both groups. Acne was the most frequently reported adverse event (15/30 mg, 13.3/20.2 events per 100 PY). Serious infection rates were similar across treatment groups. Adjudicated major adverse cardiovascular event and venous thromboembolic event rates were ≤0.1 events per 100 PY. Rates of malignant neoplasms were within the expected range for the general population. CONCLUSIONS: Upadacitinib was well tolerated, and no new important safety risks were observed among adults and adolescents with moderate-to-severe AD treated for approximately 1 year compared to the known safety profile of upadacitinib.
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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 | 0.032 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".