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Record W2179510275 · doi:10.5858/133.2.289

The spectrum of eosinophilic cystitis in males: case series and literature review.

2009· article· en· W2179510275 on OpenAlexaff
Oana Popescu, Steve Landas, Gabriel P. Haas

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Disorders and Syndromes
Canadian institutionsChildren's & Women's Health Centre of British Columbia
Fundersnot available
KeywordsEosinophilicInterstitial cystitisMedicineContext (archaeology)PathologyGenitourinary systemDiseaseDermatologyEosinophiliaImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

CONTEXT: Eosinophilic cystitis (EC) is an inflammatory condition of the bladder that has been linked to food allergens, infectious agents, drugs, and other genitourinary conditions. Like interstitial cystitis, EC has a strong female predominance. It is characterized by an intense eosinophilic infiltrate in the acute phase and fibrosis in the chronic phase. OBJECTIVES: To document and focus on specific features of EC in males and highlight the relationship between clinical and histopathologic findings. DESIGN: The bladder biopsies of male patients were reviewed. Eight cases of EC were selected. RESULTS: Several known associations were noted as well as unreported features and associations such as Charcot-Leyden crystals, celiac disease, lupus anticoagulant, and additional viral and bacterial agents. CONCLUSIONS: Eosinophilic cystitis represents a response to a variety of agents and may often be overlooked. The temporally biphasic morphologic features are the hallmark of this condition. Because clinical and imaging studies are not specific, a high index of clinical suspicion is often crucial to the correct diagnosis and proper management of EC.

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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.008
GPT teacher head0.228
Teacher spread0.219 · 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

Citations35
Published2009
Admission routes1
Has abstractyes

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