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Record W4394014611 · doi:10.1016/j.jdin.2024.03.023

Outcomes of systemic Janus kinase inhibitors following prior dupilumab use for atopic dermatitis: An evidence-based review

2024· article· en· W4394014611 on OpenAlexaff
Siddhartha Sood, Ahmed Bagit, Martin Heung, Khalad Maliyar, Abrahim Abduelmula, Muskaan Sachdeva, Jorge R. Georgakopoulos, Asfandyar Mufti, Vimal H. Prajapati, Jensen Yeung

Bibliographic record

VenueJAAD International · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsProbity Medical ResearchSKiN HealthUniversity of CalgaryHealth Sciences CentreSunnybrook Health Science CentreWomen's College HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsDupilumabAtopic dermatitisJanus kinaseDermatologyMedicineJanus kinase inhibitorJanusImmunologyNanotechnology

Abstract

fetched live from OpenAlex

To the Editor: Atopic dermatitis (AD) is a common, chronic, highly pruritic, inflammatory condition.1 Although several Janus kinase inhibitors (JAKis) have recently been approved for moderate-to-severe AD, limited guidance is available regarding the role of systemic JAKi in patients who have previously utilized dupilumab. We conducted a systematic review to evaluate JAKi outcomes for this specific population.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.045
GPT teacher head0.351
Teacher spread0.307 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2024
Admission routes1
Has abstractyes

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