Abrocitinib 100 mg Once Daily for Moderate-to-Severe Atopic Dermatitis: A Review of Efficacy and Safety, and Expert Opinion on Use in Clinical Practice
Bibliographic record
Abstract
Abrocitinib is a Janus kinase (JAK) 1-selective inhibitor approved for the treatment of moderate-to-severe atopic dermatitis (AD). Although specific dose recommendations for abrocitinib vary across regional product labels, abrocitinib 100 mg once daily is recommended as a starting and maintenance dose. This review summarizes the efficacy and safety of abrocitinib 100 mg once daily for patients with moderate-to-severe AD based on data from the pivotal phase 3 studies of the JAK1 Atopic Dermatitis Efficacy and Safety (JADE) clinical program, JADE MONO-1 (NCT03349060), JADE MONO-2 (NCT03575871), JADE COMPARE (NCT03720470), JADE TEEN (NCT03796676), and JADE REGIMEN (NCT03627767). Preliminary long-term efficacy and safety data are also summarized from the long-term extension study JADE EXTEND (NCT03422822). Expert opinion on use of abrocitinib 100 mg once daily in clinical practice is provided. In addition to efficacy, the decision to use abrocitinib for the treatment of AD should allow for individual patient factors such as age, comorbidities, previous therapy, quality of life, and treatment tolerability, and involve shared decision-making between the patient and clinician.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".