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Cited by 158

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Quantitation of non‐motor symptoms in Parkinson’s disease

Chaudhuri, K. Ray, Martinez‐Martin, P.·2008·European Journal of Neurology

Abstract

Background: Disabling non‐motor symptoms (NMS) associated with Parkinson’s disease (PD), such as dementia and loss of balance, do not respond well to levodopa therapy and can lead to eventual death in patients with the disease. In 2006, a multidisciplinary group of experts and patient representatives developed an NMS screening questionnaire (NMSQuest) and a unified Non‐Motor Symptoms Scale (NMSS) to address the need for simple identification and comprehensive assessment of NMS in patients with PD. Methods and Results: An international pilot study of 96 healthy controls and 123 patients with various stages of treated and untreated PD was conducted to demonstrate that the NMSQuest is a feasible, valid, and accepted tool. Conclusion: The majority of patients and caregivers felt that the questionnaire was clear and relevant to their daily lives. Data from 242 PD patients with no dementia were analysed in a pilot study on the clinimetric validation of NMSS. Similar to the NMSQuest study, the NMSS study revealed a significant correlation between progression of PD and increasing NMS burden. These studies suggest that the NMSQuest accurately detects the NMS, and that the NMSS closely correlates with quality of life for PD patients.

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Metadata

Authors
Chaudhuri, K. R., & Martinez‐Martin, P.
Venue
European Journal of Neurology
Publisher
Wiley
Published
2008-08-12
Volume
15
Issue
s2
Pages
2-8
ISSN
  • 1351-5101 (ISSN-L)
  • 1468-1331
OpenAlex
W2115125092
Cited by
158
References
5
FWCI
7.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quantitation of non‐motor symptoms in Parkinson’s disease. https://app.cochat.ai/papers/10.1111/j.1468-1331.2008.02212.x
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Chaudhuri, K. R., & Martinez‐Martin, P. (2008). Quantitation of non‐motor symptoms in Parkinson’s disease. European Journal of Neurology. https://doi.org/10.1111/j.1468-1331.2008.02212.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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