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Record W2090223821 · doi:10.1159/000315484

Is Stroke History Reliably Reported by Elderly with Cognitive Impairment? A Community-Based Study

2010· article· en· W2090223821 on OpenAlexafffundabout
Ya-Ping Jin, Silvia Di Legge, Truls Østbye, John Feightner, Gustavo Saposnik, Vladimir Hachinski

Bibliographic record

VenueNeuroepidemiology · 2010
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsSt. Michael's HospitalUniversity of TorontoLondon Health Sciences CentreWestern University
FundersHealth CanadaMedical Research CouncilPfizer CanadaUniversity of OttawaHeart and Stroke Foundation of CanadaPfizer
KeywordsMedicineStroke (engine)DementiaCognitive impairmentCognitionGold standard (test)GerontologyPhysical therapyPhysical medicine and rehabilitationPsychiatryDiseaseInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: Self-reported history of stroke has been questioned in the elderly due to the high prevalence of cognitive impairment. We tested the validity of response to a stroke questionnaire versus clinical diagnosis of stroke among elderly people with and without cognitive impairment. METHODS: Community-dwelling participants to the phase 1 Canadian Study of Health and Aging were screened for self-reported stroke. Physician-diagnosed stroke was set as the gold standard. The positive predictive value (PPV), sensitivity and specificity were determined. RESULTS: 1,536/ 1,659 (93%) participants aged 65 years and over had stroke information from both sources. Among stroke positive responders, the PPV was 81% overall: 76% for cognitively normal, 84% for cognitively impairment with no dementia (CIND), and 82% for demented. Among stroke diagnosed by physicians, history of stroke was reported by 38% cognitively normal, 54% CIND, and 55% demented. The specificity was over 97% in all cognitive categories. CONCLUSION: Among community-dwelling elderly people, any cognitive impairment did not imply inaccurate self-reported history of stroke. High prevalence of stroke and frequent contacts with health services among cognitively-impaired elderly may increase the awareness of stroke symptoms and signs. Stroke increases the risk of developing dementia in both cognitively normal and CIND, and efforts to accomplish stroke prevention are justified, especially in these categories.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.051
GPT teacher head0.349
Teacher spread0.298 · 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.

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

Citations13
Published2010
Admission routes3
Has abstractyes

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