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Record W4408516286 · doi:10.1080/09546634.2025.2479126

Topical delgocitinib for the treatment of chronic hand eczema

2025· review· en· W4408516286 on OpenAlexaff
Asaad Abdelhalim, Orhan Yilmaz, Mohamed Elshaikh Berair, Tiago Torres

Bibliographic record

VenueJournal of Dermatological Treatment · 2025
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineDermatologyHand eczemaAllergyContact dermatitisImmunology

Abstract

fetched live from OpenAlex

PURPOSE: Chronic hand eczema (CHE) is a prevalent dermatological condition characterized by significant morbidity and impaired quality of life. Delgocitinib, a pan-JAK inhibitor, has emerged as a promising topical treatment for CHE, targeting key cytokine-mediated inflammatory pathways involved in the disease. Delgocitinib 20 mg/g (2%) cream was approved by the European Medicines Agency (EMA) in 2024 for moderate-to-severe CHE, and its U.S. Food and Drug Administration (FDA) review is currently in progress. MATERIALS AND METHODS: PubMed, Medline and ClinicalTrials.gov were searched up to January 21, 2025, using specific search terms related to delgocitinib and chronic hand eczema. RESULTS AND CONCLUSIONS: Clinical trials have demonstrated its effectiveness in improving disease severity, including eczema signs and symptoms such as pain and itching, and enhancing patient-reported outcomes compared to vehicle. Topical delgocitinib has shown a favorable safety profile, with most adverse events being mild and unrelated to treatment. Serious adverse events were rare, and treatment discontinuation due to adverse events was minimal. This narrative review synthesizes current evidence on topical delgocitinib's clinical utility and safety in CHE, positioning it as a valuable therapeutic option. Further comparative studies are needed to evaluate its efficacy against oral JAK inhibitors and other topical immunosuppressants, providing insight into optimizing treatment strategies for this chronic condition.

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 score0.978
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.003
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 head0.087
GPT teacher head0.403
Teacher spread0.316 · 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

Citations8
Published2025
Admission routes1
Has abstractyes

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