MétaCan
Menu
Back to cohort
Record W2422181063

Case Series: raising awareness about Kikuchi-Fujimoto disease among otolaryngologists: is it linked to systemic lupus erythematosus?

2008· article· en· W2422181063 on OpenAlexaboutno aff
Pia Pace‐Asciak, Mindy Ann Black, René P. Michel, Karen Kost

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicLymphadenopathy Diagnosis and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatologyContext (archaeology)DiseaseIncidence (geometry)Systemic diseasePediatricsLupus erythematosusInternal medicineImmunology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: Kikuchi-Fujimoto disease (KFD) is a rare, benign, self-limiting condition occasionally associated with systemic lupus erythematosus (SLE). Although rising in incidence, nonspecific symptoms make diagnosis difficult. We present a small case series and review the literature to increase awareness of this condition among otolaryngologists. METHODS: Nine cases of KFD were diagnosed between 2003 and 2006 at the McGill University Health Care institution by either excisional or fine-needle biopsy. Clinical and histologic features were reviewed in the context of a comprehensive analysis of the KFD literature. RESULTS: Seven of nine cases are female, with a mean age of 27.2 years (range 18-35 years). Only one patient had systemic SLE predating KFD. Our results are comparable to those in the current literature regarding the association with SLE. CONCLUSIONS: We present the first Canadian small case series and extensive review of the literature to highlight the clinical and pathologic features of this disease and its association with SLE.

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)0.001
metaresearch head score (Gemma)0.008
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
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.044
GPT teacher head0.268
Teacher spread0.224 · 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

Citations14
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicLymphadenopathy Diagnosis and AnalysisFrench-language works237,207