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Parkinson's disease
Abstract
Parkinson's disease is a neurological disorder with evolving layers of complexity. It has long been characterised by the classical motor features of parkinsonism associated with Lewy bodies and loss of dopaminergic neurons in the substantia nigra. However, the symptomatology of Parkinson's disease is now recognised as heterogeneous, with clinically significant non-motor features. Similarly, its pathology involves extensive regions of the nervous system, various neurotransmitters, and protein aggregates other than just Lewy bodies. The cause of Parkinson's disease remains unknown, but risk of developing Parkinson's disease is no longer viewed as primarily due to environmental factors. Instead, Parkinson's disease seems to result from a complicated interplay of genetic and environmental factors affecting numerous fundamental cellular processes. The complexity of Parkinson's disease is accompanied by clinical challenges, including an inability to make a definitive diagnosis at the earliest stages of the disease and difficulties in the management of symptoms at later stages. Furthermore, there are no treatments that slow the neurodegenerative process. In this Seminar, we review these complexities and challenges of Parkinson's disease.
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Parkinson's disease is a neurodegenerative disorder resulting in severe disability due to progressive degeneration of the nigrostriatal dopaminergic pathway.
“Parkinson’s disease (PD) is a neurodegenerative disorder resulting in severe disability due to progressive degeneration of the nigrostriatal dopaminergic pathway.60,61”
From MiR-128-3p – a gray eminence of the human central nervous system (2024) · cites this paper as [60]
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Metadata
- Authors
- Kalia, L. V., & Lang, A. E.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 386
- Issue
- 9996
- Pages
- 896-912
- ISSN
- 0140-6736
- Cited by
- 6,184
- References
- 18
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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