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Association between diabetes and subsequent Parkinson disease: A record-linkage cohort study
Abstract
Objective To investigate the association between type 2 diabetes mellitus (T2DM) and subsequent Parkinson disease (PD). Methods Linked English national Hospital Episode Statistics and mortality data (1999–2011) were used to conduct a retrospective cohort study. A cohort of individuals admitted for hospital care with a coded diagnosis of T2DM was constructed, and compared to a reference cohort. Subsequent PD risk was estimated using Cox regression models. Individuals with a coded diagnosis of cerebrovascular disease, vascular parkinsonism, drug-induced parkinsonism, and normal pressure hydrocephalus were excluded from the analysis. Results A total of 2,017,115 individuals entered the T2DM cohort and 6,173,208 entered the reference cohort. There were significantly elevated rates of PD following T2DM (hazard ratio [HR] 1.32, 95% confidence interval [CI] 1.29–1.35; p < 0.001). The relative increase was greater in those with complicated T2DM (HR 1.49, 95% CI 1.42–1.56) and when comparing younger individuals (HR 3.81, 95% CI 2.84–5.11 in age group 25–44 years). Conclusions We report an increased rate of subsequent PD following T2DM in this large cohort study. These findings may reflect shared genetic predisposition and/or disrupted shared pathogenic pathways with potential clinical and therapeutic implications.
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“Diabetes is a well-established risk factor for PD, and has been linked to a faster disease progression”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [613]
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Metadata
- Authors
- De Pablo-Fernandez, E., Goldacre, R., Pakpoor, J., Noyce, A. J., & Warner, T. T.
- Affiliations
- From the Reta Lila Weston Institute of Neurological Studies, Department of Molecular Neurosciences (E.D.P.-F., A.J.N., T.T.W.), and Queen Square Brain Bank for Neurological Disorders (E.D.P.-F., T.T.W.), UCL Institute of Neurology, London; Unit of Health-Care Epidemiology (R.G., J.P.), Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford; and Preventive Neurology Unit (A.J.N.), Wolfson Institute of Preventive...
- Queen Mary University of London (GB)
- Venue
- Neurology
- Published
- 2018-07-10
- Volume
- 91
- Issue
- 2
- Pages
- e139-e142
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2807806732
- Cited by
- 242
- References
- 9
- Citations by year
- 2026: 23 · 2025: 21 · 2024: 36 · 2023: 28 · 2022: 29 · 2021: 35 · 2020: 34 · 2019: 26 · 2018: 9
- FWCI
- 17.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Prothena
- Barts Charity (MGU0364)
- National Institute for Health and Care Research (RNC/035/02)
- Parkinson's UK
- Brain Research Trust
- University College London
- University of Oxford
- Britannia Pharmaceuticals
- Medical Research Council (MR/L023784/2, MR/L023784/1)
- NIHR Oxford Biomedical Research Centre
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
- Keywords
- type 2 diabetes, Parkinson's disease, risk factors, complicated diabetes, young adults, pathogenic pathways
- MeSH terms
- Adult, Age Factors, Aged, Diabetes Mellitus, Type 2, England, Female, Humans, Male, Middle Aged, Parkinson Disease, Retrospective Studies, Risk Factors, Comorbidity, Case-Control Studies
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