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Record W4327850163 · doi:10.1177/2050313x231160909

Idiopathic pyostomatitis-pyodermatitis vegetans with nasal obstruction: A case report

2023· article· en· W4327850163 on OpenAlexaff
Talia M Katz, Arnon M. Katz

Bibliographic record

VenueSAGE Open Medical Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsCanadian Rheumatology AssociationQueen's University
Fundersnot available
KeywordsMedicineMucocutaneous zoneDermatologyEtiologyHistopathologyInflammatory bowel diseasePathologyEosinophiliaDisease

Abstract

fetched live from OpenAlex

Pyostomatitis-pyodermatitis vegetans is an uncommon mucocutaneous dermatosis of unknown etiology. It presents as erythematous pustules that coalesce to form exudative vegetating plaques on the oral mucosa and/or skin. Diagnosis is largely based on clinical assessment, although histopathology should be used as supporting evidence. Pyostomatitis-pyodermatitis vegetans is associated with inflammatory bowel disease, liver dysfunction, and others. We report a case of a 48-year-old man who presented with erythematous eroded plaques involving his nares and upper lip. Investigations revealed a dense mixed inflammatory infiltrate and pronounced peripheral eosinophilia. Uniquely, the patient did not have inflammatory bowel disease or any other systemic condition. Systemic corticosteroids were helpful in clearing mucocutaneous lesions; however, this effect was only sustained at high doses. There are few reports of pyostomatitis-pyodermatitis vegetans in the medical literature. This case highlights key aspects of this extremely rare dermatosis, especially in otherwise healthy patients without inflammatory bowel disease.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0030.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.293
Teacher spread0.277 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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