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Record W4385155802 · doi:10.1007/s13555-023-00948-6

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

2023· review· en· W4385155802 on OpenAlexaff
Melinda Gooderham, Andrew Pink, Eric L. Simpson, Jonathan I. Silverberg, Erman Güler, Melissa Watkins

Bibliographic record

VenueDermatology and Therapy · 2023
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsSKiN HealthQueen's University
FundersPfizer
KeywordsJADE (particle detector)MedicineTolerabilityAtopic dermatitisClinical PracticeExpert opinionRegimenDermatologyAdverse effectIntensive care medicineInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.124
GPT teacher head0.455
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations9
Published2023
Admission routes1
Has abstractyes

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