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Record W3087296239 · doi:10.12788/cutis.0074

Long-standing Dermatitis Treated With Dupilumab With Subsequent Progression to Cutaneous T-cell Lymphoma

2020· article· en· W3087296239 on OpenAlexaff
L. Claire Hollins, Paul Wirth, Gregory J. Fulchiero, Galen Foulke

Bibliographic record

VenueCutis · 2020
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsSKiN Health
Fundersnot available
KeywordsDupilumabMedicineDermatologyExacerbationBiopsyAtopic dermatitisLymphomaCutaneous T-cell lymphomaImmunologyMycosis fungoidesPathology

Abstract

fetched live from OpenAlex

This case series discusses 3 patients with long-standing eczematous or psoriasiform dermatitis, demonstrated by multiple biopsies. Following off-label treatment with dupilumab, all 3 patients had clinical expansion of disease, with histopathologic features consistent with cutaneous T-cell lymphoma (CTCL) on subsequent biopsy. We postulate that this expansion likely was secondary to an exacerbation of extant CTCL following exposure to dupilumab. A proposed mechanism of promotion of CTCL is based on the functional increase in IL-13 available for binding at the upregulated IL-13 receptor (IL-13R) α2 site on cells, following blockade of the α1 receptor with dupilumab. This progression merits further investigation.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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

Citations38
Published2020
Admission routes1
Has abstractyes

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