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Record W2054961054 · doi:10.5692/clinicalneurol.48.750

A case of Neuro-Behcet disease resembling bacterial meningitis

2008· article· en· W2054961054 on OpenAlexaff
Masahiro Nezu, Naoki Suzuki, Hideki Mizuno, Yoshiki Takai, Tatsuro Misu, Masashi Aoki, Ichiro Nakashima, Yasuto Itoyama

Bibliographic record

VenueRinsho Shinkeigaku · 2008
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsMeningitisMedicineBacterial meningitisDiseaseBehcet's diseaseBehcet diseasePathologyPediatrics

Abstract

fetched live from OpenAlex

A 30-year-old man with intractable headache and high fever came to the emergency room. He presented skin eruption, aphtha, drowsiness (E3, V4, M6/GCS), meningeal sign, hyperreflexia, and bilateral papilloedema. He also showed pleocytosis (1,066/microl, polymorphonuclear cells predominantly) and pressure increase in CSF. WBC count and CRP were elevated. Two years before, he had meningeal sign, cervical myelitis, skin eruption, uveitis, and aphtha, and was diagnosed as Neuro-BehCet (NBD) disease. HLA-B52 and B55 were positive. We suspected recurrent NBD, but we couldn't exclude bacterial meningitis because of his symptoms and cell-pattern in CSF. We treated him with intravenous methylpredonisolone and antibiotics (MEPM 6 g/day and VCM 2 g/day). His symptoms dramatically improved within a few days. The rapid improvement might be attributed to the steroids. Furthermore, MRI FLAIR images showed multiple small high lesions in the brainstem, hemispheres, subcortical area, putamen and left cerebellar hemisphere. Serum procalcitonin was not increased. We diagnosed the recurrence of NBD retrospectively. Procalcitonin may be a useful marker for discrimination between meningitis due to NBD and septic meningitis.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.049
GPT teacher head0.285
Teacher spread0.236 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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