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Record W4385453173 · doi:10.1089/derm.2023.0058

Efficacy and Risk Stratification of Janus Kinase Inhibitors in the Treatment of Moderate-to-Severe Atopic Dermatitis

2023· review· en· W4385453173 on OpenAlexvenueno aff
Shanthi Narla, Jonathan I. Silverberg

Bibliographic record

VenueDermatitis · 2023
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineJanus kinaseAtopic dermatitisJanus kinase inhibitorAdverse effectRisk stratificationDermatologyNarrative reviewRandomized controlled trialDupilumabInternal medicineQuality of life (healthcare)Clinical trialOncologyIntensive care medicine

Abstract

fetched live from OpenAlex

Recently, 3 oral Janus kinase (JAK) inhibitors-abrocitinib, baricitinib, and upadacitinib-were approved in many regions around the world for the treatment of moderate-severe atopic dermatitis (AD). These JAK inhibitors generally have rapid onset of action and short half-life. Higher doses of abrocitinib and upadactinib even demonstrated superior efficacy to dupilumab. However, JAK inhibitors can be associated with rare serious and potentially life-threatening adverse events. Heterogeneity in study designs and lack of head-to-head studies make safety comparison between JAK inhibitors difficult. Dose reduction and patient selection are the most important considerations for risk mitigation. This narrative review examines the efficacy data for abrocitinib, baricitinib, and upadacitinib from large phase III double-blinded randomized controlled trials in AD and discusses risk stratification for oral JAK inhibitors in AD patients.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.322
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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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