Impact of Pre-Stroke Dementia or Mild Cognitive Impairment on Stroke Outcome: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Pre-stroke dementia (PSD) and pre-stroke mild cognitive impairment (PSMCI) are important risk factors for stroke. The present meta-analysis aimed to investigate the impact of PSD or PSMCI on stroke outcomes. METHODS: Electronic databases (PubMed, EMbase, Google Scholar, Cochrane Library, and TRIP) were screened for eligible studies published prior to March 31, 2021. Risk ratios (RR) and mean differences with 95% confidence intervals (CIs) using random or fixed effect models were used to calculate pooled estimates. Study quality was assessed using the Newcastle Ottawa Scale. RESULTS: Fifteen studies were included in our meta-analysis. Pooled data from ten studies involving 3,107 PSD and 20,645 non-PSD subjects showed a higher risk of mortality in PSD patients (RR = 2.03; 95% CI: 1.40-2.91; I2 = 89%). Risk of recurrent stroke risk was observed more in patients with PSD compared to non-PSD patients (RR = 2.02; 95% CI: 1.40-2.91; I2 = 0%). Three studies involving 300 mild cognitive impairment (MCI) and 1,025 normal cognition subjects showed a significant increased risk of mortality in stroke patients with MCI (RR = 2.43; 95% CI: 1.81-3.27; I2 = 20%). However, elevated stroke severity was not observed in PSMCI patients. CONCLUSIONS: Our meta-analysis shows an increased risk of mortality in stroke patients with a history of PSD and PSMCI. Proper clinical management and increased attention are therefore required for the prevention and management of stroke in patients with cognitive deficits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.007 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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; both teacher heads agree on what is shown here.
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".