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Record W2137328474 · doi:10.1161/strokeaha.111.619486

The Montreal Cognitive Assessment

2011· article· en· W2137328474 on OpenAlexaboutno aff
Toby Cumming, Julie Bernhardt, Thomas Lindén

Bibliographic record

VenueStroke · 2011
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Medical Research CouncilNational Health and Medical Research Council
KeywordsMedicineMontreal Cognitive AssessmentCognitionCognitive impairmentPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Cognitive function is often ignored in stroke research trials. The brief Montreal Cognitive Assessment (MoCA) may be sensitive to stroke-related cognitive deficits. METHODS: We evaluated the feasibility of administering the MoCA at 3 months in a large stroke trial (A Very Early Rehabilitation Trial [AVERT]). RESULTS: Data (blinded to intervention group) are presented for 294 patients with mean age of 70.6 years (SD, 12.8); 220 (75%) completed the MoCA, 54 (18%) had missing data, and 20 (7%) had died. Of those surviving to 3 months, the MoCA was completed by 87% with mild stroke, 79% with moderate stroke, and 67% with severe stroke on admission. Mean MoCA score was 21.1 (SD 7.5) out of 30; only 78 of 220 (35%) patients attained the "normal" cutoff (≥26). CONCLUSIONS: The MoCA is a feasible global cognitive screening tool in stroke trials. Clinical Trial Registration- URL: www.anzctr.org.au/trial_view.aspx?ID=1266. Unique identifier: ACTRN12606000185561.

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)0.000
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: none
Teacher disagreement score0.518
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.340
Teacher spread0.308 · 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

Citations147
Published2011
Admission routes1
Has abstractyes

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