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Cited by 549

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria

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Höglinger, Günter U, Adler, Charles H, Berg, Daniela, Klein, Christine, Outeiro, Tiago F, Poewe, Werner, Postuma, Ronald, Stoessl, A Jon, Lang, Anthony E·2024·The Lancet Neurology

Abstract

With the hope that disease-modifying treatments could target the molecular basis of Parkinson's disease, even before the onset of symptoms, we propose a biologically based classification. Our classification acknowledges the complexity and heterogeneity of the disease by use of a three-component system (SynNeurGe): presence or absence of pathological α-synuclein (S) in tissues or CSF; evidence of underlying neurodegeneration (N) defined by neuroimaging procedures; and documentation of pathogenic gene variants (G) that cause or strongly predispose to Parkinson's disease. These three components are linked to a clinical component (C), defined either by a single high-specificity clinical feature or by multiple lower-specificity clinical features. The use of a biological classification will enable advances in both basic and clinical research, and move the field closer to the precision medicine required to develop disease-modifying therapies. We emphasise the initial application of these criteria exclusively for research. We acknowledge its ethical implications, its limitations, and the need for prospective validation in future studies.

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Metadata

Authors
Höglinger, G. U., Adler, C. H., Berg, D., Klein, C., Outeiro, T. F., Poewe, W., Postuma, R., Stoessl, A. J., & Lang, A. E.
Venue
The Lancet Neurology
Publisher
Elsevier BV
Published
2024-02
Volume
23
Issue
2
Pages
191-204
ISSN
1474-4422 (ISSN-L)
OpenAlex
W4391090585
Cited by
549
References
77
FWCI
126.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. https://app.cochat.ai/papers/10.1016/s1474-4422(23)00404-0
The paper
Höglinger, G. U., Adler, C. H., Berg, D., Klein, C., Outeiro, T. F., Poewe, W., Postuma, R., Stoessl, A. J., & Lang, A. E. (2024). A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. The Lancet Neurology. https://doi.org/10.1016/s1474-4422(23)00404-0

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