Post‐stroke dementia and its determinant factors among Ethiopian stroke survivors: A cross‐sectional study
Bibliographic record
Abstract
Abstract Background Stroke and dementia convene risks for each other and share some of the same, largely modifiable, risk factors. Method Adult stroke survivors, who visited the outpatient stroke clinic in Tikur Anbessa Specialized Teaching Hospital in Addis Ababa University, Ethiopia was assessed for cognitive decline. Beside Montreal Cognitive Assessment‐Basic (MOCA‐B) tool, functional recovery and depression were measured using modified Rankin Scale (mRS) and Patient Health Questionnaire (PHQ‐9). Result From 67 stroke survivors (mean age: 52.1 ± 12.7 years, 40.3 % female, 25.3% illiterate, rural dwellers 32.8%, 37.3% stoke onset < 45‐year), 68.7% had cognitive impairment in at least one domain and 25.3% had dementia. Hospitalization [OR = 0.22 (0.06 ‐0.74)], right hemisphere stroke location [OR = 0.21 (0.06‐0.77)] and poor function recovery with mRS ³3 [OR = 1.4 (1.06‐1.74)] were independently associated with post stroke cognitive impairment and dementia. Conclusion The frequency of post stroke dementia was high in Ethiopia and poor functional recovery negatively impact cognitive outcome.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".