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Record W2314079462 · doi:10.3899/jrheum.151236

IgG4 Syndrome Presenting as Leptomeningitis in a Young Woman

2016· letter· en· W2314079462 on OpenAlexvenueno aff
Sowmini Medavaram, Feifei Xue, Robert G. Lahita

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typeletter
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypophysitisHearing lossBiopsyMagnetic resonance imagingSurgeryPathologyRadiologyInternal medicinePituitary glandAudiology

Abstract

fetched live from OpenAlex

To the Editor: Immunoglobulin G4-related disease (IgG4-RD) is a recognized systemic condition that can affect almost every organ system1. The most commonly involved organs are the pancreas, salivary glands, and biliary tree. The common presentation with central nervous system (CNS) involvement is hypophysitis and pachymeningitis, but rarely leptomeningitis2. Only 3 reported cases of leptomeningitis have been reported, all of them presenting as cognitive decline, and 2 associated with rheumatoid arthritis (RA)3. We describe a patient with unilateral hearing loss and a right frontal mass on magnetic resonance imaging (MRI) who was subsequently diagnosed with IgG4-related leptomeningitis after biopsy. This is a unique case of IgG4-related leptomeningitis because of its presentation and lack of association with RA or positive serological markers. A 43-year-old woman with thyroid follicular cancer, post-thyroidectomy, had progressive right-side hearing loss for 2 months. She was also noted to have gait difficulty, pins-and-needles sensations in the feet, and facial droop on the left side. Physical examination showed that she was alert and oriented to time, place, and person. Her cranial nerves were intact except … Address correspondence to Dr. S. Medavaram, 3111 Bristol Station Court, Carteret, New Jersey 07008, USA. E-mail: sowmini.medavaram{at}gmail.com

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.250
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 teacher head, not a consensus.

Study designNot applicable
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

Citations3
Published2016
Admission routes1
Has abstractyes

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