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Record W1967718252 · doi:10.1080/13554794.2011.633528

Cognition and functional performance in daily activities before and after pontine and extrapontine myelinolysis: A case study

2011· article· en· W1967718252 on OpenAlexaff
Sabrina Arciero, Christina Kempf, Françis Bernard, Nadia Gosselin

Bibliographic record

VenueNeurocase · 2011
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsCentral pontine myelinolysisCognitionPsychologyFunctional connectivityMedicineNeuroscienceInternal medicineHyponatremia

Abstract

fetched live from OpenAlex

Central pontine and extrapontine myelinolysis (CPEM) is a rare neurological condition usually due to rapid correction of hyponatremia. CPEM is mainly characterized by motor deficits (typically quadraparesis or extrapyramidal features) but neurobehavioral symptoms were also reported in the literature. However, very few studies on the neuropsychological and functional performance in daily activities have been performed in this population. In this case study, a 55-year-old woman had neuropsychology and functional evaluations prior and after the first manifestations of CPEM. The patient presented motor impairments characterized by parkinsonism symptoms and decreased dexterity. Several neurobehavioral deficits were observed including emotional lability, impulsivity, altered judgment, and disinhibition. Executive dysfunctions and impulsivity were observed during neuropsychological and functional evaluations, limiting the patient's autonomy in complex activities of daily living. The patient recovered progressively from most motor, neurobehavioral and cognitive deficits.

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)0.002
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.019
GPT teacher head0.228
Teacher spread0.210 · 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
Published2011
Admission routes1
Has abstractyes

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