Pooled Analysis of Baricitinib Tolerability in Patients with Atopic Dermatitis in Relation to Acne, Headache, and Gastrointestinal Events from 8 Clinical Trials
Bibliographic record
Abstract
Abstract: Background: Tolerability issues including acne, nausea, and headache have been reported with Janus kinase (JAK) inhibitors for moderate-to-severe atopic dermatitis (AD). Objectives: To report outcomes of tolerability adverse events (AEs) for baricitinib, a JAK1/JAK2 inhibitor, in patients with moderate-to-severe AD. Methods: Acne, headache, and gastrointestinal AEs are reported from placebo-controlled and long-term extensions of pooled data in the baricitinib AD clinical trial program. Proportions of patients with AEs, incidence rates (IRs)/100 patient-years at risk, and median time to onset/duration of AEs were calculated. Results: In 2531 patients treated with baricitinib, most AEs were mild to moderate in severity. Headache was the most common AE of tolerability (median of 14–26 days after first dose of baricitinib, lasting ≤3 days). IRs of acne were <5 in any group lasting up to a median of 90 days with no severe AEs. Diarrhea was the most common gastrointestinal AE, lasting a median of ≤7 days. There were few study drug interruptions (n = 6) and permanent discontinuations (n = 5) for tolerability AEs. Conclusions: For the AEs of tolerability analyzed, baricitinib appears to be well tolerated. Overall, the frequency of these AEs in patients being treated for moderate-to-severe AD was low with few leading to study drug interruption or permanent discontinuation. Clinical Trial Registration number: NCT02576938; NCT03334396; NCT03334422; NCT03428100; NCT03435081; NCT03733301; NCT03334435; NCT03559270
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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 | 0.019 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.014 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.002 | 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".