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Record W181739742 · doi:10.1177/070674370104600905

Psychosocial Risk Factors in Poststroke Depression: A Systematic Review

2001· review· en· W181739742 on OpenAlexaffvenue
M. Ouimet, François Primeau, M. D Cole

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2001
Typereview
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychosocialDepression (economics)DementiaRisk factorSocial isolationDistressActivities of daily livingPsychiatryStroke (engine)PsychologyMedicineSocial supportClinical psychologyGerontologyDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: To review systematically the psychosocial risk factors for poststroke depression. METHODS: Medline was searched using the key words "poststroke depression" (PSD) for the period January 1, 1966, to June 30, 2000; using the key words "cerebrovascular disease" and "depression" it was searched from June 1, 1996, to June 30, 2000. Corollary articles were obtained from the bibliographies. Inclusion criteria were as follows: original research in French or English; prospective, case-control or cross-sectional study design; assessment of PSD in the first 6 months following the stroke; an acceptable definition of depression; an acceptable definition of stroke; and at least one psychosocial risk factor. Interrater reliability was tested for the selection and quality of the articles. A qualitative risk factor analysis was conducted. RESULTS: The risk factors most consistently associated with PSD are a past history of depression, past personal psychiatric history, dysphasia, functional impairments, living alone, and poststroke social isolation. Risk factors not associated with PSD are dementia and cognitive impairment. Controversial risk factors are age, socioeconomic status (SES), prior social distress, dependency in regard to activities of daily living (ADL), and sex. CONCLUSIONS: Over approximately 30 years, some 25 qualitative studies have addressed psychosocial risk factors for PSD. Further studies should aim for quantitative analysis. The results suggest that identifying psychiatric history and preventing social deterioration and impairment should be part of multidisciplinary efforts to care for poststroke patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.194
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.324
Teacher spread0.299 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations115
Published2001
Admission routes2
Has abstractyes

Explore more

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