ArticleClinical interventions in aging2022
Factors Influencing Post-Stroke Cognitive Impairment in Patients with Type 2 Diabetes Mellitus.
Article in Clinical interventions in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Biomarkers of post-stroke cognitive impairment-a systematic literature review.Frontiers in behavioral neuroscience · 2026Pooled it
- Risk prediction models for post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- Pooled it
- Machine learning-based prediction of 3-6-month post-stroke cognitive impairment using acute-phase clinical data: a two-center retrospective prognostic modeling study.BMC medical informatics and decision making · 2026Article
- Development and validation of a diagnostic model for mild cognitive impairment in patients with type 2 diabetes mellitus and concomitant white matter hyperintensities.BMC neurology · 2026Article
- Determinants of Post-Stroke Cognitive Impairment After Acute Ischemic Stroke: A Systematic Review and Meta-Analysis.Neuropsychiatric disease and treatment · 2026Review
- DPP-4 inhibitors for preventing post-stroke cognitive impairment in diabetic patients with acute ischemic stroke: a retrospective cohort study.American journal of translational research · 2026Article
- Mechanisms of interaction between type 2 diabetes and psychological disorders and therapeutic interventions: a narrative review.Frontiers in medicine · 2026Review
- Clinical prediction rules for cognitive outcomes post-stroke: an updated systematic review and meta-analysis.EClinicalMedicine · 2025Article
- Novel Insights into the Mechanism and Treatment of Diabetes-Related Brain Complications: Focusing on the Blood-Brain Barrier Impairment.Aging and disease · 2025Review
- Predicting post-stroke cognitive impairment using electronic health record data.International journal of stroke : official journal of the International Stroke Society · 2024Article
- Alterations of contralesional hippocampal subfield volumes and relations to cognitive functions in patients with unilateral stroke.Brain and behavior · 2024Article
- Serum albumin and white matter hyperintensities.Translational psychiatry · 2024Article
- Serum albumin and white matter hyperintensities.Research square · 2024Article
- Prevalence of cognitive impairment and its associated factors in type 2 diabetes mellitus patients with hypertension in Hunan, China: a cross-sectional study.Frontiers in psychiatry · 2024Article
- Challenges in evaluating cognitive impairment in diabetics in the Democratic Republic of the Congo.Dementia & neuropsychologia · 2024Article
- The inverse association between DNA gaps and HbA1c levels in type 2 diabetes mellitus.Scientific reports · 2023Article
- Decreased Alu methylation in type 2 diabetes mellitus patients increases HbA1c levels.Journal of clinical laboratory analysis · 2023Article
- Clinical Values of Serum Uric Acid Levels in the Occurrence of Cognitive Impairment in Alcohol-Dependent Patients.Alpha psychiatry · 2023Article
- Association between diabetes mellitus and post-stroke cognitive impairment.Journal of diabetes investigation · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Type 2 diabetes mellitus (T2DM) and ischemic stroke, which are common diseases among older people, are closely related to cognitive impairment. This study aims to investigate the influencing factors of post-stroke cognitive impairment (PSCI) in patients with T2DM. Methods: We enrolled 161 patients with T2DM who experienced acute ischemic stroke and were hospitalized in the Department of Neurology, Jinan Central Hospital, Shandong, China. Cognitive function was evaluated with the Montreal Cognitive Assessment scale. According to the results, patients were divided into three groups-the cognitively normal group, mild cognitive impairment group, and severe cognitive impairment group. We analyzed general demographic data, laboratory information, imaging data, the results of neuropsychological evaluation, and clinical features as well as influencing factors of PSCI in these patients and established a prediction model. Results: The three groups of patients were significantly different in terms of age, education level, course of diabetes mellitus (DM), recurrent cerebral infarction (RCI), and other factors. RCI, course of DM, and glycated hemoglobin (HbA1c) were independent risk factors of PSCI in patients with T2DM, with odds ratio (95% confidence interval): 7.17 (2.09, 30.37), 5.39 (2.40, 14.59), and 3.89 (1.66, 10.04), respectively, whereas female, senior high school, serum albumin were protective factors: 0.28 (0.07, 0.95), 0.05 (0.01, 0.21), 0.20 (0.08, 0.42), respectively. Furthermore, we constructed a prediction model using sex, age, education level, RCI, DM course, HbA1c and serum albumin and obtained a receiver operating characteristic (ROC) curve. The area under the ROC curve is 0.966, suggesting the significant association of these influencing factors with PSCI in patients with T2DM. Conclusion: In this study, the occurrence of PSCI in patients with T2DM was related to RCI, course of DM, and HbA1c, among other factors. Attention to influencing factors is needed in these patients for early diagnosis and timely intervention of cognitive impairment.
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