Poststroke Dementia
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The goal of the present study was to examine a series of putative risk factors of poststroke dementia (PSD), especially those factors usually associated with cerebrovascular disease and degenerative dementia, in a series of 251 consecutive unselected stroke patients. METHODS: A standard protocol was prospectively applied at admission and 3 months after stroke; this protocol included clinical, functional, and cognitive assessments, hemogram and serum biochemistry, ECG and CT exams, apolipoprotein E and angiotensin-converting enzyme genotype, and neuropsychological examination. After a neuropsychological examination and an interview with a relative, the following diagnostic criteria were used: the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV for dementia after stroke, DSM-III-R for previous dementia and dementia stage, and Association Internationale pour la Recherche et l'Enseignement en Neurologie (NINDS-AIREN) for vascular dementia. RESULTS: Seventy-five cases (30%) demonstrated dementia at 3-month follow up; 25 of them (10%) had demonstrated dementia before the stroke. Dementia was unrelated to type (ischemic/hemorrhagic) or location of stroke, vascular factors (hypertension, diabetes, ischemic heart disease, or hypercholesterolemia), apolipoprotein E or angiotensin-converting enzyme genotype, and serum homocysteine. Age (odds ratio [OR] 1.1, 95% CI 1.03 to 1.2), previous nephropathy (OR 6.1, 95% CI 1.5 to 24.3), atrial fibrillation (OR 4.4, 95% CI 1. 4 to 13.9), low Canadian Neurological Scale score at discharge (OR 0. 5, 95% CI 0.4 to 0.6), and previous mental decline assessed by the shortened Spanish version of the Informant Questionnaire on Cognitive Decline in the Elderly (SS-IQCODE; OR 1.2, 95% CI 1.1 to 1. 4) were the correlates of dementia in logistic regression analyses. The same risks factors were found when cases with previous dementia and with hemorrhagic stroke were excluded. CONCLUSIONS: Dementia is frequent after ischemic or hemorrhagic stroke. Age, nephropathy, atrial fibrillation, previous mental decline, and stroke severity independently contribute to the risk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".