MétaCan
Menu
Back to cohort
Record W4318263723 · doi:10.1089/derm.0000000000000905

Dupilumab for Atopic Dermatitis—From Clinical Trials to Molecular and Cellular Mechanisms

2023· review· en· W4318263723 on OpenAlexvenueno aff
Beatriz Cabanillas

Bibliographic record

VenueDermatitis · 2023
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIRheinische Friedrich-Wilhelms-Universität BonnMinisterio de Ciencia e InnovaciónEuropean Regional Development FundComunidad de Madrid
KeywordsDupilumabAtopic dermatitisMedicineClinical trialAdverse effectMonoclonal antibodyImmunologyDermatologyMonoclonalAntibodyInternal medicine

Abstract

fetched live from OpenAlex

Dupilumab is a monoclonal antibody that represents the first approved targeted biological therapy for adults, adolescents, and children older than 6 years with moderate-to-severe atopic dermatitis (AD). Dupilumab binds the shared chain of the interleukin-4 and interleukin-13 receptor blocking the downstream signaling of these cytokines. The clinical improvements induced by dupilumab were associated with remission of the dysregulated immune mechanisms linked with AD. Dupilumab reversed the epidermal barrier defects and improved the global molecular signature of AD. This review seeks to provide an overview on the development of dupilumab as the first target-specific biological treatment for AD, with a description of the clinical trials that have been performed in different age groups, their outcomes, and reported adverse effects. Novel aspects of dupilumab treatment, as well as the current knowledge on the molecular and cellular mechanisms underlying the treatment of AD with dupilumab, are summarized and discussed.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
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)0.0000.001

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.

Opus teacher head0.141
GPT teacher head0.432
Teacher spread0.291 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDermatitisSame topicDermatology and Skin DiseasesFrench-language works237,207