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Record W2114998283 · doi:10.1177/1352458514542363

Late-onset multiple sclerosis presenting with cognitive dysfunction and severe cortical/infratentorial atrophy

2014· article· en· W2114998283 on OpenAlexaff
Massimiliano Calabrese, Alberto Gajofatto, Francesca Gobbin, Giulia Turri, Silvia Richelli, Angela Matinella, Eugenio Oliboni, Maria Donata Benedetti, Salvatore Monaco

Bibliographic record

VenueMultiple Sclerosis Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsMultiple sclerosisAtrophyMedicineNeuroscienceCognitionPhysical medicine and rehabilitationPathologyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Although cognitive dysfunction is a relevant aspect of multiple sclerosis (MS) from the earliest disease phase, cognitive onset is unusual thus jeopardizing early and accurate diagnosis. Here we describe 12 patients presenting with cognitive dysfunction as primary manifestation of MS with either mild or no impairment in non-cognitive neurological domains. METHODS: Twelve patients with cognitive onset who were subsequently diagnosed with MS (CI-MS) were included in this retrospective study. Twelve cognitively normal MS patients (CN-MS), 12 healthy controls and four patients having progressive supranuclear palsy (PSP) served as the reference population. RESULTS: Ten CI-MS patients had progressive clinical course and all patients had late disease onset (median age = 49 years; range = 40-58 years). Among cognitive functions, frontal domains were the most involved. Compared to CN-MS and healthy controls, significant cortical and infratentorial atrophy characterized CI-MS patients. Selective atrophy of midbrain tegmentum with relative sparing of pons, known as "The Hummingbird sign," was observed in eight CI-MS and in three PSP patients. DISCUSSION: Our observation suggests that MS diagnosis should be taken into consideration in case of cognitive dysfunction, particularly when associated with slowly progressive disease course and severe cortical, cerebellar and brainstem atrophy even in the absence of other major neurological symptoms and signs.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.071
GPT teacher head0.270
Teacher spread0.199 · 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 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

Citations32
Published2014
Admission routes1
Has abstractyes

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