SynthesisMolecular neurobiology2025
Potential Biomarkers of Post-stroke Cognitive Impairment in Chinese Population: a Systematic Review and Meta-Analysis.
Synthesis in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Role and Mechanism of Microglia in White Matter Injury Recovery in Ischemic Stroke.Immunity, inflammation and disease · 2025Pooled it
- The XGBoost Model Versus the Logistic Regression Model Created Based on Serum Markers in Predicting the Risk of Post-Stroke Cognitive Impairment Following Acute Ischemic Stroke.Brain and behavior · 2026Article
- Article
- Machine learning-based prediction model for cognitive frailty in elderly patients with ischaemic stroke: a prospective cohort study.Frontiers in neurology · 2026Article
- Multimodal dynamic hierarchical clustering model for post-stroke cognitive impairment prediction.Visual computing for industry, biomedicine, and art · 2025Article
- Joint effects of elevated homocysteine levels and low eGFR on post-stroke cognitive impairment.Frontiers in neurology · 2025Article
- A nomogram for predicting post-stroke cognitive impairment no dementia in patients with first-ever mild ischemic stroke.Frontiers in neurology · 2025Article
- Correlation between blood biomarkers and post-stroke cognitive impairment.Frontiers in aging neuroscience · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is still controversial whether peripheral blood biomarkers have the potential to be diagnostic, prognostic, and therapeutic targets for post-stroke cognitive impairment (PSCI). All studies reporting the correlation between peripheral blood biomarkers and PSCI in Chinese acute ischemic stroke (AIS) patients were screened in eight databases and meta-analyses were performed to explore their predictive value for PSCI. The results showed that the levels of C-reactive protein (CRP), fasting blood glucose (FBG), homocysteine (Hcy), and cystatin C (CysC) were significantly higher in the PSCI group than in the post-stroke cognitive impairment no dementia (PSNCI) group. However, the differences in glycosylated hemoglobin (HbA1c), creatinine (Cr), blood urea nitrogen (BUN), and uric acid (UA) levels were not significant. The correlation between Hcy and PSCI applies to all AIS patients, whereas the correlation between CRP (p < 0.001), FBG (p = 0.005), CysC (p = 0.005), and PSCI is generalizable only to first-onset AIS. CRP may be a biomarker of cognitive impairment 3-6 months after AIS (3 months: p < 0.001; 6 months: p = 0.030) and does not appear to have a correlation in the long term. However, the correlation between FBG and PSCI may be significant 6 months to 1 year after AIS (6 months: p = 0.032; 1 year: p = 0.004), whereas the correlation between Hcy and PSCI may be significant 3 months to 1 year after AIS (3 months: p = 0.002; 6 months: p = 0.004; 1 year: p = 0.004). CRP, FBG, Hcy, and CysC may be potential biomarkers for PSCI, whereas the correlation between Cr, BUN, UA, and PSCI has not been confirmed.
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