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Record W2332024434 · doi:10.1097/pas.0b013e318248713d

Pulmonary Hyalinizing Granuloma With Associated Elevation in Serum and Tissue IgG4 Occurring in a Patient With a History of Sarcoidosis

2012· article· en· W2332024434 on OpenAlexaff
Erin Chapman, Allen M. Gown, Robert Mazziotta, Andrew Churg

Bibliographic record

VenueThe American Journal of Surgical Pathology · 2012
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsSarcoidosisMedicinePathologyIgG4-related diseaseGranulomaFibrosisSystemic diseaseLungDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Pulmonary hyalinizing granulomas (PHGs) are unusual fibrosclerotic inflammatory lung lesions. The organ-based manifestations of the recently defined IgG4-related sclerosing disease typically show dense fibrosis and heavy lymphoplasmacytic infiltrates. IgG4-related sclerosing disease is also defined by increased serum IgG4 levels and increased tissue levels of IgG4-positive plasma cells. The morphologic features of PHG overlap with those seen in IgG4-related sclerosing disease, and this suggests that PHG may be a form of IgG4-related sclerosing disease. We present a case of a 51-year-old man with a history of sarcoidosis who presented with slowly enlarging pulmonary nodules. Histologic evaluation of one of the nodules yielded a diagnosis of PHG. Further investigation demonstrated both elevated serum IgG4 and elevated tissue IgG4-positive plasma cells in the PHG. In previous reports, lesions that are now considered part of IgG4-related sclerosing disease were documented in patients also diagnosed with PHG, although these reports date from before the description of IgG4 sclerosing disease. This case provides the first definitive evidence that PHG is part of the spectrum of IgG4-related sclerosing 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations33
Published2012
Admission routes1
Has abstractyes

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