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Record W4234136815 · doi:10.22374/cjgim.v10i2.34

Eosinophilia with Granulomatosis and Polyangiitis in a 57-Year-Old Man with Worsening Muscle Pain

2015· article· en· W4234136815 on OpenAlexaffvenue
Julie Wright, Christian Pagnoux, Janice Kwan

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineGranulomatosis with polyangiitisEosinophilicEosinophiliaAnorexiaMalaiseVasculitisDermatologyAsthmaImmunologyPathologyDisease

Abstract

fetched live from OpenAlex

Eosinophilia with granulomatosis and polyangiitis (EGPA, previously called Churg-Strauss syndrome or allergic granulomatosis and angiitis) is an anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis affecting small-sized vessels, which typically occurs in patients with a history of allergic rhinitis or asthma. The most serious cases arise from the involvement of other organ systems, notably the cardiovascular system. Importantly, patients may first exhibit non-specific manifestations such as malaise, fever, anorexia, and weight loss. This variable presentation and the potential for multi-organ involvement can lengthen time to diagnosis and delay treatment. We describe a patient who presented with progressive myalgias on the background of recently diagnosed rhinosinusitis who was ultimately diagnosed with EGPA. This case is meant to alert general internists to the diagnostic challenges of EGPA.

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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.225
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

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

Citations0
Published2015
Admission routes2
Has abstractyes

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