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Record W3132327194 · doi:10.1212/wnl.0000000000011748

Association of Depression and Anxiety With Cognitive Impairment 6 Months After Stroke

2021· article· en· W3132327194 on OpenAlexaboutno aff
Owen A. Williams, Nele Demeyere

Bibliographic record

VenueNeurology · 2021
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)AnxietyAssociation (psychology)Cognitive impairmentStroke (engine)CognitionClinical psychologyPsychologyMedicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

<h3>Objective</h3> To investigate the associations between general cognitive impairment and domain-specific cognitive impairment with depression and anxiety at 6 months poststroke. <h3>Methods</h3> Participants were patients with confirmed acute stroke from the OCS-Care Study who were recruited on stroke wards in a multisite study and followed up at a 6-month poststroke assessment. Depression and anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale subscales, with scores greater than 7 indicating possible mood disorders. General cognitive impairment at follow-up was assessed using the Montreal Cognitive Assessment (MoCA); stroke-specific cognitive domain impairments were assessed using the Oxford Cognitive Screen (OCS). Linear regression was used to examine the associations between cognition and depression/anxiety symptoms at 6 months, controlling for acute stroke severity and activities of daily living impairment, age, sex, education, and co-occurring poststroke depression/anxiety. <h3>Results</h3> A total of 437 participants (mean age, 69.28 years [SD 12.17], 226 male [51.72%]) were included in analyses. Six-month poststroke depression (n = 115, 26%) was associated with 6-month impairment on the MoCA (β = 0.96, standard error [SE] 0.31, <i>p</i> = 0.006) and all individual domains assessed by the OCS: spatial attention (β = 0.67, SE 0.33, <i>p</i> = 0.041), executive function (β = 1.37, SE 0.47, <i>p</i> = 0.004), language processing (β = 0.87, SE 0.38, <i>p</i> = 0.028), memory (β = 0.76, SE 0.37, <i>p</i> = 0.040), number processing (β = 1.13, SE 0.40, <i>p</i> = 0.005), and praxis (β = 1.16, SE 0.49, <i>p</i> = 0.028). Poststroke anxiety (n = 133, 30%) was associated with impairment on the MoCA (β = 1.47, SE 0.42, <i>p</i> = 0.001) and spatial attention (β = 1.25, SE 0.45, <i>p</i> = 0.006); these associations did not remain significant after controlling for co-occurring poststroke depression. <h3>Conclusion</h3> Domain-general and domain-specific poststroke cognitive impairment was found to be highly related to depressive symptomatology but not anxiety symptomatology.

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 score0.002
Threshold uncertainty score0.144

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 head0.004
GPT teacher head0.233
Teacher spread0.229 · 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

Citations89
Published2021
Admission routes1
Has abstractyes

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