1. Type 1 diabetes and the risk of epilepsy: A meta-analysis.
- Author
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Shuhui Wu and Yanan Ding
- Subjects
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TYPE 1 diabetes , *EPILEPSY , *SCIENCE databases , *WEB databases , *CONFOUNDING variables , *LONGITUDINAL method - Abstract
Aims/Introduction: An overrepresentation of epilepsy has been suggested in patients with type 1 diabetes (T1D). This meta-analysis was conducted to evaluate if type 1 diabetes is associated with a higher incidence of epilepsy. Materials and Methods: Longitudinal observational studies which are relevant to the purpose of the meta-analysis were screened and obtained by searching PubMed, Embase, and Web of Science databases. Random-effects models were used when significant heterogeneity was observed; otherwise, fixed-effects models were used. Results: Six observational studies involving 10 datasets of 8,001,899 participants were included, with six datasets including children and only one dataset including older people. Among them, 100,414 (1.25%) had type 1 diabetes. During the follow-up duration of 5.4-15.2 years (mean: 9.5 years), 98,644 cases (1.23%) of epilepsy were observed. Compared with participants with normoglycemia, those with type 1 diabetes were shown to have a higher incidence of epilepsy (risk ratio [RR]: 2.41, 95% confidence interval 1.69-3.44, P < 0.001; I2 = 95%) after adjustment of potential confounding variables including age and sex. Subgroup analysis showed consistent results in nested case-control and retrospective cohort studies, and in studies of children, non-elderly adult, and older participants (P for subgroup difference = 0.42 and 0.07). In addition, a stronger association of type 1 diabetes and epilepsy was suggested in studies with follow-up duration <10 years compared with those =10 years (RR: 3.34 vs 1.61, P for subgroup difference < 0.001). Conclusion: Patients with type 1 diabetes may have a higher risk of epilepsy, which was mainly driven by datasets including children. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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