ArticleAging medicine (Milton (N.S.W))2024
Predictive, preventive and personalized project of vascular cognitive impairment in China (P3): Study design and interim baseline patient characteristics of a Nationwide multicenter prospective registry.
Article in Aging medicine (Milton (N.S.W)), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Vascular cognitive impairment in China: Epidemiology, risk factors, healthcare system, management challenges, therapeutic modalities, and prevention strategies.Cerebral circulation - cognition and behavior · 2026Review
- Predictive, preventive and personalized project of vascular cognitive impairment in China (P3): Study design and interim baseline patient characteristics of a Nationwide multicenter prospective registry.Aging medicine (Milton (N.S.W)) · 2024Article
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14 authors.
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Abstract
Objectives: To outline the design of the P3 study and serve as a summary of the interim baseline patient characteristics. Methods: P3 study is a multicenter, prospective cohort study targeting 1000 acute ischemic stroke (AIS) and cerebral small vessel disease (CSVD) patients with a 2-year follow-up from 80 participating hospitals across China. Comprehensive multimodal imaging, neuropsychological tests, and biological samples were collected prospectively on admission and follow-up visits. Patients were interviewed face to face for 2 years and followed up. Results: Until 30 December 2023, 642 patients were enrolled from 67 centers. In the AIS cohort, 219 patients (72.5%) were diagnosed with acute post-stroke cognitive impairment (PSCI). Compared to those without PSCI, the acute PSCI group exhibited significantly lower levels of education and a history of stroke (all Conclusions: P3 study aims to establish a comprehensive spatiotemporal profile of VCI. Through multidimensional analysis of clinical information, radiomics, proteomics, metabolomics, microbiomics, and genetics, provide a more comprehensive understanding of VCI trajectories and individual variability, enhancing early detection and prognosis management.
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