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Record W2078076383 · doi:10.1002/mds.22748

The Montreal Cognitive Assessment as a screening tool for cognitive dysfunction in Huntington's disease

2010· article· en· W2078076383 on OpenAlexaboutno aff
Aleksandar Videnović, Bryan Bernard, Wenqing Fan, Jeana Jaglin, Sue E. Leurgans, Kathleen M. Shannon

Bibliographic record

VenueMovement Disorders · 2010
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentHuntington's diseaseCognitionPopulationPsychologyInternal medicineCognitive impairmentMedicineDiseaseAudiologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Cognitive dysfunction is one of the hallmarks of Huntington's disease (HD) and may precede the onset of motor symptoms. The Montreal Cognitive Assessment (MoCA), a brief cognitive screening instrument with high specificity and sensitivity for detecting early cognitive impairments, has not been studied in the HD population. In this study, we compare the MoCA with the mini-mental state examination (MMSE) as a screening tool for cognitive dysfunction among 53 patients with HD. The mean MMSE score was 26 +/- 2.4, and mean MoCA score was 21 +/- 4.4. Twenty-one patients (81%) of those who scored >or=26 on the MMSE had the MoCA score <26. Thirty-two patients (78%) of those who scored >or=24 on the MMSE had the MoCA score <24. The MoCA may be a more sensitive screening tool for cognitive impairments in HD relative to the MMSE.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations75
Published2010
Admission routes1
Has abstractyes

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