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Record W3126717978 · doi:10.1017/brimp.2021.3

Cognition in the first week after stroke: how does it relate to personal and instrumental activities of daily living at follow-up?

2021· article· en· W3126717978 on OpenAlexaboutno aff
Sarah Buys, Louise Gustafsson, Hannah Gullo, Rohan Grimley, Mathew J. Summers, Alana Campbell

Bibliographic record

VenueBrain Impairment · 2021
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentActivities of daily livingStroke (engine)CognitionRehabilitationFunctional Independence MeasurePhysical therapyMedicineAcute strokePsychologyGerontologyPhysical medicine and rehabilitationCognitive impairmentInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background: The Montreal Cognitive Assessment (MoCA) is routinely used during the early assessment of people after stroke to indicate cognitive effects and inform clinical decision-making. Aim: The purpose of this study was to examine the relationship between cognition in the first week post-stroke and personal and instrumental activities of daily skills at 1 month and 3 months post-stroke. Method: A prospective cohort study consecutively recruited people admitted to the acute stroke ward. Acute cognitive status was measured using the MoCA within 1 week post-stroke onset. Functional outcomes were measured using the Functional Independence Measure (FIM) and the Australian Modified Lawton’s Instrumental Activities of Daily Living Scale (Lawton’s) at 1 month and 3 months post-stroke. Results: Fifty participants with predominantly mild stroke ( n = 47) and mean age of 69.8 achieved a mean MoCA score of 23.1. Controlling for age, the MoCA was associated with the overall FIM score at 1 month ( P = 0.02). It was nearing significance for the Lawton’s at 1 month ( P = 0.06) but was not associated with either outcome at 3 months. A score of less than 23 on the MoCA was indicative of lower scores on both outcomes. Conclusions: A low MoCA score within 1 week of stroke may indicate need for support or rehabilitation due to early impacts on personal activities of daily living, but is not associated with poor functional outcomes at 3 months.

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: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.280

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)0.0000.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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