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Record W2997056796 · doi:10.1136/bcr-2019-233162

Lyme neuroborreliosis presenting as spinal myoclonus

2019· article· en· W2997056796 on OpenAlexaff
Xena X. Li, Aaron Kirschner, Mary Metrie, Mark Loeb

Bibliographic record

VenueBMJ Case Reports · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNeuroborreliosisMedicineLyme NeuroborreliosisMyoclonusLyme diseaseCeftriaxoneErythema chronicum migransDoxycyclineLYMEBorrelia burgdorferiDermatologyPediatricsAnesthesiaImmunologyAntibody

Abstract

fetched live from OpenAlex

Early neurological Lyme disease (neuroborreliosis) typically presents with well-recognised neurological syndromes. Spinal myoclonus is however a rare manifestation of neuroborreliosis. We present the case of a man who developed spinal myoclonus 3 weeks after returning from the Czech Republic where he developed erythema migrans on his arm following multiple tick exposures. Spinal fluid analysis showed a pleocytosis and MRI showed enhancement at C5-C6. His serology was positive for IgM antibodies to Borrelia afzelli. He was successfully treated with ceftriaxone and doxycycline with improvement of his spinal myoclonus and radiculitis. We conclude that early Lyme neuroborreliosis may present with uncommon neurological manifestations and so a high degree of suspicion is needed.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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