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Record W4405258611 · doi:10.1177/2050313x241304229

Granulomatosis with polyangiitis mimicking multisystem pyoderma gangrenosum: A case report

2024· article· en· W4405258611 on OpenAlexaff
Amanda Gormley, Peter Green

Bibliographic record

VenueSAGE Open Medical Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPyoderma gangrenosumMedicineGranulomatosis with polyangiitisMicroscopic polyangiitisPyodermaVasculitisAnti-neutrophil cytoplasmic antibodyDermatologyContext (archaeology)Necrotizing VasculitisPathologyDisease

Abstract

fetched live from OpenAlex

Granulomatosis with polyangiitis, a type of small-medium vessel vasculitis, can pose diagnostic challenges due to its diverse clinical manifestations. We present a case that mimicked multisystem pyoderma gangrenosum with cutaneous ulceration, renal sparing, and antineutrophil cytoplasmic antibody negativity. Although antineutrophil cytoplasmic antibody is positive in approximately 90% of cases of granulomatosis with polyangiitis, its negativity should not exclude the diagnosis. Additionally, pyoderma gangrenosum-like cutaneous ulcers should prompt consideration of granulomatosis with polyangiitis, especially in the context of multisystem disease presentation. This case underscores the importance of maintaining a high suspicion for granulomatosis with polyangiitis in patients presenting with cutaneous ulceration and respiratory tract 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.037
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.303
Teacher spread0.289 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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