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Record W3111822933 · doi:10.1002/alz.045002

Cognitive impairment and disability after arterial stroke in older adults: A hospital‐based study

2020· article· en· W3111822933 on OpenAlexaboutno aff
Shiva Shanker Reddy Mukku, Sivakumar PT, Girish Baburao Kukarini, Krishna Prasad

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)MedicineVerbal fluency testDementiaCognitionQuality of life (healthcare)Montreal Cognitive AssessmentPhysical therapyModified Rankin ScaleCognitive impairmentPediatricsInternal medicineNeuropsychologyIschemic strokePsychiatryDisease

Abstract

fetched live from OpenAlex

Abstract Background Stroke and cognitive impairment often co‐exist in older adults. Every one minute three people get stroke in India, who are potentially at risk for cognitive impairment. However the literature on this area is limited from India.The objective is study the cognitive impairment in older adults with arterial stroke. To study the relation between the cognitive impairment and disability. Method Sample includes patients above the age of 45 years with arterial stroke seeking treatment from NIMHANS outpatient departments. Ethical clearance was obtained. Patient underwent neurological examination. Standard instruments applied were Modified Rankin scale (MRS), Barthel index (BI), Stroke specific quality of life (SS‐QOL) and Addenbrooke’s cognitive examination (ACE‐III). Results 100 stroke patients were recruited as per the inclusion criteria. The sample included 75% males (M:F‐ 3:1), with mean age of 63.98 (SD‐8.45) years. Among them majority were living with spouse (87%), from urban background (75%) and 52% had education of high school and above. Median duration of stroke at assessment was 5 months. The mean score on MRS, BI and SS‐QOL were 2.12 (SD‐1.13), 82.0 (18.64) and 180 (SD‐35.175)respectively. Among our patients 10% meets criteria for vascular dementia and 20% for mild cognitive impairment.On ACE‐III the mean score was 65.50 (SD‐17.72) with score on Attention‐13.21 (SD‐4.54), Memory‐15.11 (SD‐7.07), Fluency‐5.63 (SD‐3.174), Language‐19.92 (SD‐5.59),Visuo‐spatial‐9.69 (SD‐4.51). There was positive correlation between ACE‐ III scores and Barthel index (r= 0.526; p<0.001)and SS‐QOL (r=0.716; P<0.001).There was negative correlation between ACE‐III score and MRS (r= ‐ 0.599; p<0.001). Conclusion In our study, one‐third of sample had cognitive impairment, at 5 months (median) after stroke.The prevalence of post stroke cognitive impairment is on the lower side as compared to recent meta‐analysis (Barbay et al., 2018; Merriman et al., 2019) which could be due to inclusion of outpatient sample and time of assessment. Cognitive impairment has negative impact of functioning and quality of life in stroke patients which is in agreement with previous studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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