ArticleScientific reports2017
Development and validation of a risk score (CHANGE) for cognitive impairment after ischemic stroke.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk prediction models for post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled 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
- Clinical prediction rules for cognitive outcomes post-stroke: an updated systematic review and meta-analysis.EClinicalMedicine · 2025Article
- Development and Validation of a Clinical Model (SHACEA) for Post-stroke Cognitive Impairment Prognosis Occurred at Acute Phase and Last to 6 Months.Molecular neurobiology · 2025Article
- Development of a Diagnostic Prediction Model for Post-Stroke Cognitive Impairment in Acute Large Vessel Occlusion Stroke Using Multimodal MRI and PET/CT: A Study Protocol.Brain and behavior · 2025Article
- Predicting cognitive decline in cognitively impaired patients with ischemic stroke with high risk of cerebral hemorrhage: a machine learning approach.Frontiers in neurology · 2025Article
- Cognitive impairment after intravenous thrombolysis in mild stroke: assessment of cerebral blood flow covariance network.Frontiers in neurology · 2025Article
- Development and internal validation of a nomogram for predicting cognitive impairment after mild ischemic stroke and transient ischemic attack based on cognitive trajectories: a prospective cohort study.Frontiers in aging neuroscience · 2025Article
- 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
- Machine learning-based predictive model for post-stroke dementia.BMC medical informatics and decision making · 2024Article
- Potential challenges to harmonize post-stroke cognitive assessment and its prognostic value: a narrative review.Journal of medicine and life · 2024Review
- Vascular cognitive impairment and dementia: Mechanisms, treatment, and future directions.International journal of stroke : official journal of the International Stroke Society · 2024Review
- Development and validation of a novel model to predict post-stroke cognitive impairment within 6 months after acute ischemic stroke.Frontiers in neurology · 2024Article
- Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning.Alzheimer's research & therapy · 2023Article
- Changes in gene expression and neuroinflammation in the hippocampus of rats with poststroke cognitive impairment.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke.Frontiers in neurology · 2023Article
- Article
- Gamma-glutamyl transferase levels are associated with the occurrence of post-stroke cognitive impairment: a multicenter cohort study.BMC neurology · 2022Article
- Clinical Risk Score for Predicting Vascular Dementia after Ischemic Stroke in Thailand.Stroke research and treatment · 2022Article
- Factors Influencing Post-Stroke Cognitive Impairment in Patients with Type 2 Diabetes Mellitus.Clinical interventions in aging · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-stroke cognitive impairment (PSCI) warrants early detection and management. We sought to develop a risk score for screening patients at bedside for risk of delayed PSCI. Ischemic stroke survivors with PSCI and no cognitive impairments (NCI) 3-6 months post-stroke were studied to identify candidate variables predictive of PSCI. These variables were used to develop a risk score using regression models. The score, and the best identified clinical cutoff point, underwent development, stability testing, and internal and external validation in three independent cohorts from Singapore and Hong Kong. Across 1,088 subjects, the risk score, dubbed CHANGE, had areas under the receiver operating characteristics curve (AUROC) from 0.74 to 0.82 in detecting significant risk for PSCI, and had predicted values following actual prevalence. In validation data 3-6 and 12-18 months post-stroke, subjects with low, medium, and high scores had PSCI prevalence of 7-23%, 25-58%, and 67-82%. CHANGE was effective in screening ischemic stroke survivors for significant risk of developing PSCI up to 18 months post-stroke. CHANGE used readily available and reliable clinical data, and may be useful in identifying at-risk patients for PSCI.
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