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Record W3189137099 · doi:10.1177/2513826x211028927

Thumb Ulcer Presenting As Soft Tissue Infection in a Patient With Sweet’s Syndrome Intolerant To Systemic Corticosteroids: A Case Report

2021· article· en· W3189137099 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

VenuePlastic Surgery Case Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineDapsoneLesionDermatologySweet's syndromePrednisoneDifferential diagnosisSurgerySoft tissueThumbPathology

Abstract

fetched live from OpenAlex

Sweet’s syndrome, also known as acute febrile neutrophilic dermatosis, is an uncommon dermatological condition characterized by sudden onset, painful, erythematous/violaceous papules, plaques and ulcers, and specific histopathologic findings. Ulcers commonly present on the trunk, neck, hands and typically respond to systemic corticosteroid treatment. Here, we present a case of a 63-year-old woman with Sweet’s syndrome that presented with a thumb ulcer resembling a soft tissue infection. The thumb lesion was refractory to management for an infection and tissue pathology was consistent with a Sweet’s lesion. The patient was intolerant to first line therapy of oral prednisone, but the lesion was initially responsive to topical clobetasol and maintenance therapy of oral dapsone. This case emphasizes the importance of a careful history, examination, workup and maintaining a broad differential diagnosis to prevent misdiagnosis. We also demonstrate the potential effectiveness of initial topical treatment for problematic Sweet’s lesions when systemic steroids are contraindicated.

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)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.098
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.281
Teacher spread0.259 · 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