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A case of polyradiculoneuritis associated with disseminated herpes zoster

2020· article· en· W3095520211 on OpenAlexaff
Hiroshi Shoji, Kenji Fukuda, Arisa Yano, Toshifumi Abe, Shuichi Oguri, Masayuki Baba

Bibliographic record

VenueRinsho Shinkeigaku · 2020
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsVaricella zoster virusMedicineVirologyHerpes virusVirusDermatology

Abstract

fetched live from OpenAlex

A 34-year-old man developed right-dominant lower limb paraplegia, and then upper limb paresis with radicular pain following disseminated herpes zoster (HZ) in his right forehead, back of the trunk, and lumbar and right lower limb regions. Cerebrospinal fluid (CSF) findings revealed an increase in lymphocytes (32 cells/μl) and protein content (50 mg/dl), and polymerase chain reaction (PCR) for varicella-zoster virus (VZV) DNA was negative in CSF, but VZV antigen was positive in the patient's vesicle smear. Lumbar root MRI using 3D Nerve VIEW (Philips) imaging showed high-intensity lesions on the L2-L5 spinal roots with contrast enhancements, and cervical MRI showed similar findings on both sides at the C4-Th1. Peripheral nerve conduction study revealed prolonged distal latency to 4.9 ms, decreased MCV to 38 m/s, and complete loss of F-wave was seen in the right peroneal nerve study. Minimal F-wave latency was prolonged in the right tibial nerve. Thus, the patient was diagnosed with VZV polyradiculoneuritis caused by disseminated HZ. Regarding the possible pathogenesis of polyradiculoneuritis in this patient with disseminated HZ, we speculate that VZV reached by retrograde transmission from the involved peripheral nerves to the spinal ganglia, which, then, produced polyradiculoneuritis.

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 score0.375
Threshold uncertainty score0.553

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)0.0000.000

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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
Published2020
Admission routes1
Has abstractyes

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