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Record W4407224567 · doi:10.1111/jdv.20581

Drug survival of dupilumab, tralokinumab and upadacitinib in patients with atopic dermatitis: An international, real‐world comparative study

2025· letter· en· W4407224567 on OpenAlexaff
Tiago Torres, Jensen Yeung, Vimal H. Prajapati, Simone Ribero, Anna Balato, Angelo Valerio Marzano, Maria João Cruz, Maria João Lopes, Elizabeth Lazaridou, J.M. Carrascosa, José Miguel Alvarenga, Pedro Farinha, Bruno Kosa Lino Duarte, Siddhartha Sood, Brian D. Rankin, Michela Ortoncelli, Stefano Caccavale, Silvia Mariel Ferrucci, Gilberto Pires da Rosa, A. Daponte, Gianmarco Silvi, Ketty Peris, Niccolò Gori, Pedro Herranz, Francesca Prignano, Antonio Kolios, Natalia Rompoti, Spyridon Gkalpakiotis, Andrea Chiricozzi

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2025
Typeletter
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsSKiN HealthUniversity of CalgaryProbity Medical ResearchHealth Sciences CentreWomen's College HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersLEO PharmaBristol-Myers SquibbEli Lilly and CompanyGaldermaSanofi GenzymeIncyteLes Laboratories Pierre FabreRegeneron PharmaceuticalsSun PharmaBiogenSanofiAmgenPfizer
KeywordsDupilumabMedicineAtopic dermatitisDermatologyDrugPharmacology

Abstract

fetched live from OpenAlex

Enquiries related to the data generated or analysed during this study can be directed to the corresponding author.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.300
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the European Academy of Dermatology and VenereologySame topicDermatology and Skin DiseasesFrench-language works237,207