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Record W2290046770 · doi:10.1177/1203475415615324

Pyoblepharitis Vegetans in Association With Pyodermatitis-Pyostomatitis Vegetans

2015· article· en· W2290046770 on OpenAlexaff
Elaine Dupuis, Richard M. Haber, Lynne Robertson

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineMucocutaneous zoneBlepharitisDermatologyConcomitantPresentation (obstetrics)Inflammatory bowel diseaseDiseasePathologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Pyodermatitis-pyostomatitis vegetans (PDPSV) is a rare inflammatory disorder of the skin and oral mucosa that is commonly associated with inflammatory bowel disease (IBD). Ocular involvement is uncommon. OBJECTIVE: Given the association with IBD, it is important for dermatologists to be aware of the varying manifestations of PDPSV. METHODS: A biopsy was performed for diagnosis confirmation, and the literature was reviewed for similar cases. OBSERVATIONS: Our 48-year-old PDPSV patient presented with rare ocular findings. There have been 8 PDPSV reports of ocular involvement. Only 3 of those patients developed blepharitis and/or conjunctival disease. None showed simultaneous involvement of sites at disease onset like our patient. RESULTS: Our patient's concomitant presentation at onset of multiple mucocutaneous sites with blepharitis and conjunctivitis is unique. CONCLUSIONS: We propose the term pyoblepharitis vegetans (PBV) to describe vegetating lesions of the eyelids. The diagnosis of PDPSPBV should be considered with presentation of these signs.

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)0.002
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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