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Record W4313529491 · doi:10.1016/j.jdcr.2022.12.013

Lichenoid-granulomatous drug reactions to dupilumab: A report of 2 cases

2023· article· en· W4313529491 on OpenAlexaff
Zahra Rehan, Melanie D. Pratt, Iris Teo, Stephanie Petkiewicz, Yasmine Ayroud, John Evans

Bibliographic record

VenueJAAD Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of OttawaMemorial University of Newfoundland
Fundersnot available
KeywordsDupilumabAtopic dermatitisMedicineDermatologyImmunologyInterleukin 10Eczematous dermatitisMonoclonal antibodyAntibodyCytokine

Abstract

fetched live from OpenAlex

Dupilumab is a fully humanized monoclonal antibody to the interleukin 4 (IL-4) receptor alpha subunit, inhibiting IL-4 and IL-13 signaling pathways which leads to downregulation of T helper (Th) 2 mediated inflammation.1 There are several reports of drug hypersensitivity reactions (DHR) to dupilumab, including conjunctivitis, psoriasiform, eczematous, and lichenoid eruptions.2-4 It has been theorized that dupilumab-mediated inhibition of Th2 pathways may upregulate Th1/Th17 dominated response in patients with atopic dermatitis (AD); a Th1 hyperresponse can lead to development of psoriasiform dermatitis.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0090.004
Insufficient payload (model declined to judge)0.0050.003

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 head0.020
GPT teacher head0.313
Teacher spread0.294 · 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 designCase report
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

Citations11
Published2023
Admission routes1
Has abstractyes

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