MétaCan
Menu
Back to cohort
Record W2082490801 · doi:10.3315/jdcr.2013.1157

Wells syndrome (eosinophilic cellulitis): Proposed diagnostic criteria and a literature review of the drug-induced variant

2013· review· en· W2082490801 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Dermatological Case Reports · 2013
Typereview
Languageen
FieldMedicine
TopicEosinophilic Disorders and Syndromes
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineDrugDermatologyDrug eruptionEtiologyThiazideCellulitisIntensive care medicineInternal medicinePharmacology

Abstract

fetched live from OpenAlex

BACKGROUND: Wells syndrome is an uncommon inflammatory dermatosis first described in 1971 by Wells. The clinical eruption is characterized by varying morphology and severity and usually follows a relapsing remitting course. The majority of the reported cases are of unknown etiology, drug induced Wells syndrome has rarely been reported. A literature search using MEDLINE was performed. We recorded the features of our case and of the additional cases of drug induced Wells syndrome in the literature. MAIN OBSERVATIONS: Including our case there are 25 cases of drug-induced Wells syndrome reported. Causative drugs include antibiotics, anticholinergic agents, anaesthetics, non-steroidal anti-inflammatory agents, thyroid medications, chemotherapeutic agents, thiomersal containing vaccinations, anti-tumor necrosis factor agents and thiazide diuretics. CONCLUSIONS: To the authors knowledge this is the first reported case of drug-induced Wells syndrome from thiazide diuretics. The diagnosis of Wells syndrome is often controversial and we propose a set of diagnostic criteria.

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.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.313
Teacher spread0.286 · 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