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Record W4283397569 · doi:10.1017/cjn.2022.147

P.046 Extensive leukoencephalopathy as a differential diagnosis of motor neuron disease: case report and literature review

2022· article· en· W4283397569 on OpenAlexvenueno aff
JC Becerra-Mateus, María José Hidalgo, DF Aguillón-Niño, J Gómez-Ramírez, CA Villegas-Lanau

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsnot available
Fundersnot available
KeywordsHyperreflexiaWeaknessFasciculationMedicineLower motor neuronUpper motor neuronEtiologyAmyotrophic lateral sclerosisPhysical medicine and rehabilitationMotor neuronNeurologyNeuroimagingAtrophyDiseasePsychologyPediatricsPathologySurgeryPsychiatryAnesthesia

Abstract

fetched live from OpenAlex

Background: Weakness is frequently a reason to attend neurology consultation which entails a challenge due to its wide range of diagnostic possibilities. We present the case of an elderly woman with long-standing right upper limb weakness. Methods: Patient data was obtained from medical records and an extensive neuropathological evaluation was performed. Results: Weakness started off in her right hand, which progressed insidiously to her right hemibody. with hyperreflexia, atrophy, fasciculations and foot drop. Subsequently, bulbar and left hemibody deterioration began. She died due to ventilatory failure four years after the first symptom appeared. A tigroid pattern in the neuroimaging studies suggest white matter involvement, while the neuropathological studies showed loss of motor neurons in the spinal cord. Conclusions: The available evidence does not allow us to dismiss the hypothesis of a motor neuron disease or a leukodystrophy. Cases like this one establish a diagnostic challenge due to their complexity and unusual etiology.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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