Effect of post-stroke cognitive impairment and dementia on stroke recurrence and functional outcomes: A systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Post-stroke cognitive impairment (PSCI) and dementia may have a significant impact on stroke recurrence and long-term functional outcomes of patients. AIM: To investigate the potential link between PSCI and dementia, and stroke recurrence, mortality, and poor functional outcomes of stroke survivors. METHODS: A systematic search across Medline, Google Scholar, and Science Direct databases was done for studies that evaluated the association of PSCI and dementia with long-term stroke outcomes. The results were expressed as pooled hazard ratios (HR) with 95% confidence intervals (CI), and heterogeneity was assessed using the I2 statistic and the Chi-square test. Subgroup analyses were performed based on the sample size, geographical location, follow-up, and type of dementia/cognitive impairment. Study quality was evaluated using the Newcastle Ottawa Scale (NOS). RESULTS: The meta-analysis included thirteen studies. Of them, ten studies (n = 4036) reported a significant association between PSCI and stroke recurrence, with a pooled HR of 1.33 (95% CI: 1.14-1.55, I2 = 84.6%). Subgroup analysis revealed a statistically significant association between PSCI and stroke recurrence across various subrgoups. Four studies (n = 1944) demonstrated that patients with PSCI had a higher risk of poor functional outcome, with a pooled HR of 1.68 (95% CI: 1.16-2.05, I2 = 80.0%). However, the multivariate analysis did not detect a significant association between PSCI and stroke mortality, with a pooled HR of 1.50 (95% CI: 0.94-2.40, I2 = 45.9%). CONCLUSIONS: The study showed that PSCI was associated with 33% increased stroke recurrence and 68% higher rate of poor functional outcome. Our findings underscore the adverse impact of PSCI on stroke recurrence and functional outcomes, emphasizing the importance of early detection and targeted interventions to mitigate the cognitive impairment burden in stroke survivors.
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 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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.040 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".