MétaCan
Menu
Back to cohort
Record W195124394 · doi:10.1155/2007/326174

Eosinophilic vasculitis: A Rare Presentation of Whipple’s Disease

2007· article· en· W195124394 on OpenAlexaffvenue
Waleed Al-hamoudi, Fadi Habbab, Carmine Nudo, Ayoub Nahal, Kenneth M. Flegel

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2007
Typearticle
Languageen
FieldMedicine
TopicWhipple's Disease and Interleukins
Canadian institutionsMcGill UniversityWestern University
Fundersnot available
KeywordsMedicineWhipple's diseasePathologyLymph node biopsyVasculitisBiopsySkin biopsyEosinophilicEosinophiliaDermatologyDisease

Abstract

fetched live from OpenAlex

Whipple's disease is a multisystem infectious disease caused by the bacterium Tropheryma whippelii. A case with an unusual presentation is reported. A 66-year-old man presented with a febrile vasculitic rash on his forearms. An extensive rheumatological, hematological and infectious workup gave negative results, apart from mild anemia and eosinophilia. An abdominal computed tomography revealed a retroperitoneal lymphadenopathy, and a skin biopsy revealed an eosinophilic vasculitis. This diverted the work toward ruling out a lymphoma or a vasculitic process. A lymph node biopsy was then performed and showed a diffuse neutrophilic inflammation with abundant foamy macrophages, fat necrosis and lipogranuloma formation. These findings were considered to be nonspecific and no further pathological investigation was carried out. After a course of corticosteroids, diarrhea and weight loss predominated and subsequently a diagnosis of Whipple's disease was confirmed on a small-bowel biopsy. Lymph node involvement was then confirmed on re-evaluation using the appropriate stains.

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)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
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 head0.254
Teacher spread0.241 · 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

Citations21
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of GastroenterologySame topicWhipple's Disease and InterleukinsFrench-language works237,207