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Cited by 363

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Falls in Parkinson's disease: A complex and evolving picture

Open access
Fasano, Alfonso, Canning, Colleen G., Hausdorff, Jeffrey M., Lord, Sue, Rochester, Lynn·2017·Movement Disorders

Abstract

Falls are a major determinant of poor quality of life, immobilization, and reduced life expectancy in people affected by Parkinson's disease (PD) and in older adults more generally. Although many questions remain, recent research has advanced the understanding of this complex problem. The goal of this review is to condense new knowledge of falls in PD from prodromal to advanced disease, taking into account risk factors, assessment, and classification as well as treatment. The fundamental steps of clinical and research‐based approaches to falls are described, namely, the identification of fall risk factors, clinical and instrumental methods to evaluate and classify fall risk, and the latest evidence to reduce or delay falls in PD. We summarize recent developments, the direction in which the field should be heading, and what can be recommended at this stage. We also provide a practical algorithm for clinicians.© 2017 International Parkinson and Movement Disorder Society

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Metadata

Authors
Fasano, A., Canning, C. G., Hausdorff, J. M., Lord, S., & Rochester, L.
Venue
Movement Disorders
Publisher
Wiley
Published
2017-10-25
Volume
32
Issue
11
Pages
1524-1536
ISSN
  • 0885-3185 (ISSN-L)
  • 1531-8257
OpenAlex
W2765167702
Cited by
363
References
89
FWCI
47.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Falls in Parkinson's disease: A complex and evolving picture. https://app.cochat.ai/papers/10.1002/mds.27195
The paper
Fasano, A., Canning, C. G., Hausdorff, J. M., Lord, S., & Rochester, L. (2017). Falls in Parkinson's disease: A complex and evolving picture. Movement Disorders. https://doi.org/10.1002/mds.27195

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.