The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
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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Cites
Athauda, D., Maclagan, K., Skene, S. S., Bajwa-Joseph, M., Letchford, D., Chowdhury, K., Hibbert, S., Budnik, N., Zampedri, L., Dickson, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31585-4 · Cited by 889 · cited 2×
“A recent doubleblind trial involving 62 patients with PD randomly assigned to placebo or exenatide 2-mg weekly injections showed positive and persistent effects on motor symptoms measured by section 3 of the Movement Disorder Society–Unified Parkinson’s Disease Rating Scale.(9)Whether the effect is secondary to sympto…”
BackgroundSelf-citationMeta‐analysis of early nonmotor features and risk factors for Parkinson disease
Noyce, A. J., Bestwick, J. P., Silveira‐Moriyama, L., Hawkes, C. H., Giovannoni, G., Lees, A. J., & Schrag, A. E. (2012) · Annals of Neurology · doi:10.1002/ana.23687 · Cited by 834
Self-citationType 2 Diabetes and the Risk of Parkinson's Disease
Hu, G., Jousilahti, P., Bidel, S., Antikainen, R., & Tuomilehto, J. (2007) · Diabetes Care · doi:10.2337/dc06-2011 · Cited by 466
Diabetes and Risk of Parkinson’s Disease
Xu, Q., Park, Y., Huang, X., Hollenbeck, A. R., Blair, A. E., Schatzkin, A. G., & Chen, H. (2011) · Diabetes Care · doi:10.2337/dc10-1922 · Cited by 282
Diabetes and Risk of Parkinson’s Disease
Cereda, E., Barichella, M., Pedrolli, C., Klersy, C., Cassani, E., Caccialanza, R., & Pezzoli, G. (2011) · Diabetes Care · doi:10.2337/dc11-1584 · Cited by 247
Obesity, diabetes, and risk of Parkinson's disease
Palacios, N., Gao, X., McCullough, M. L., Jacobs, E. J., Patel, A. V., Mayo, T. L., Schwarzschild, M. A., & Ascherio, A. (2011) · Movement Disorders · doi:10.1002/mds.23855 · Cited by 170
Neuroendocrine abnormalities in Parkinson's disease
Pablo‐Fernández, E. D., Breen, D. P., Bouloux, P. M., Barker, R. A., Foltynie, T., & Warner, T. T. (2016) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2016-314601 · Cited by 89
Self-citationSantiago, J. A., & Potashkin, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083940 · Cited by 79
Association between Parkinson's disease and diabetes: Data from NEDICES study
Pablo‐Fernández, E. D., Hidalgo, F. S., Benito‐León, J., & Bermejo‐Pareja, F. (2017) · Acta Neurologica Scandinavica · doi:10.1111/ane.12793 · Cited by 63
Research works printed but not linked: 1
- National Institute for Health and Care Excellence. Parkinson's Disease in Adults. NICE Guideline NG71 [online]. Available at: nice.org.uk/guidance/NG71. Accessed August 1, 2017.
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Zarola, F. (2021) · Journal of Aging Science · doi:10.35248/2329-8847.9.s4.004
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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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