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Record W2439201197 · doi:10.1017/cjn.2016.164

P.060 A case of mononeuritis multiplex complicating Epstein-Barr virus infection

2016· article· en· W2439201197 on OpenAlexvenueno aff
Jean‐Pierre Villeneuve, H Khuong, Audrey Dionne

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMononeuritis MultiplexMedicineMononucleosisPrednisonePeripheral neuropathyVasculitisPathologySurgeryVirusImmunology

Abstract

fetched live from OpenAlex

Background: Mononeuritis multiplex is a painful, asymmetrical peripheral neuropathy involving motor and sensory nerves. This neurological condition is classically associated with systemic diseases such as connective tissue disorders, vasculitis, hematologic diseases including cryoglobulinaemia and amyloidosis. It has also been reported infrequently as a paraneoplastic or post infectious disorder. Methods: Case report Results: We are reporting a case of a 35-year-old man who presented with mononeuritis multiplex following an infectious mononucleosis associated with a mixed cryoglobulinemia. He was treated with IVIG, IV pulse steroid and a prednisone taper over 7 months. Later on, he had a nerve transfer from FCR ( flexor carpi radialis ) to ECRB ( extensor carpi radialis brevis ) and PIN ( posterior interosseous nerve ) due to complete denervation of the PIN without evidence of spontaneous recovery. Conclusions: Acute EBV infection should be suspected in the setting of mononeuritis multiplex. This is the first reported case of nerve transfer for this type of nerve injury.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.284
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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