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Record W2101496421 · doi:10.1177/229255031202000204

Diagnosis and management of eosinophilic cellulitis (Wells' syndrome): A case series and literature review

2012· article· en· W2101496421 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Disorders and Syndromes
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCellulitisDermatologyCelluliteErythemaSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Eosinophilic cellulitis (Wells' syndrome) is an inflammatory dermatitis that is often misdiagnosed as infectious cellulitis due to its similarity in presentation. Misdiagnosis leads to delay of correct treatment and inappropriate use of antibiotics. METHODS: A case series of eosinophilic cellulitis and a literature review are presented. RESULTS: Patients with Wells' syndrome may present with a variety of nonspecific symptoms, such as fever, arthralgia and malaise, as well as myriad cutaneous lesions with associated erythema, presenting as blisters, bullae, papules and/or nodules. Several treatment modalities have been used to treat eosinophilic cellulitis and have been met with variable success rates; these include systemic corticosteroids, topical corticosteroids and antihistamines, with success rates of 91.7%, 50% and 25%, respectively. CONCLUSIONS: A high degree of clinical suspicion must be exercised to diagnose this rare condition. Cellulitis with an atypical presentation or not responding to appropriate antibiotic treatment should trigger suspicion of Wells' syndrome. To date, the most successful treatment method is a short course of systemic corticosteroids.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.228
Teacher spread0.212 · 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