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 accessAbstract
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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Cites
Measuring balance in the elderly: validation of an instrument.
Berg, K., Wood-Dauphinée, S., Williams, J. I., & Maki, B. E. (1992) · PubMed · Cited by 2,961
Guideline for the Prevention of Falls in Older Persons
Society, A. G., Society, G., Of, A. A., & On Falls Prevention, O. S. P. (2001) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2001.49115.x · Cited by 2,242
Lamb, S. E., Jørstad‐Stein, E. C., Hauer, K., Becker, C., & on behalf of the Prevention of Falls Network Europe and Outcomes Consensus Group (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53455.x · Cited by 2,073
Bloem, B. R., Hausdorff, J. M., Visser, J. E., & Giladi, N. (2004) · Movement Disorders · doi:10.1002/mds.20115 · Cited by 1,297
Self-citationUsing psychometric techniques to improve the Balance Evaluation Systems Test: the mini-BESTest
Franchignoni, F., Horak, F., Godi, M., Nardone, A., & Giordano, A. (2010) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-0537 · Cited by 1,081 · cited 1×
“The Balance Evaluation Systems Test (BEST) and its variants (eg, the mini-BEST) incorporate critical components of the Berg Balance Scale, the TUG, and the Dynamic Gait Index into a single test battery.(46) Based on a recommended cut score of 20/32 points, the BEST test accurately predicted falls in PD during a 6month…”
Method“Stops walking when talking” as a predictor of falls in elderly people
Lundin-Olsson, L., Nyberg, L., & Gustafson, Y. (1997) · The Lancet · doi:10.1016/s0140-6736(97)24009-2 · Cited by 975
Robinovitch, S. N., Feldman, F., Yang, Y., Schonnop, R., Leung, P. M., Sarraf, T., Sims-Gould, J., & Loughin, M. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61263-x · Cited by 942
Tai chi and postural stability in patients with Parkinson's disease
Li, F., Harmer, P., Fitzgerald, K., Eckstrom, E., Stock, R., Galver, J., Maddalozzo, G., & Batya, S. S. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1107911 · Cited by 890
Prospective assessment of falls in Parkinson's disease
Bloem, B. R., Grimbergen, Y. A. M., Cramer, M., Willemsen, M., & Zwinderman, A. H. (2001) · Journal of Neurology · doi:10.1007/s004150170047 · Cited by 865
Adib, F., & Katabi, D. (2013) · Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM · doi:10.1145/2486001.2486039 · Cited by 698
Cited by
New evidence on the management of Lewy body dementia
Taylor, J.-P., McKeith, I. G., Burn, D. J., Boeve, B. F., Weintraub, D., Bamford, C., Allan, L. M., Thomas, A. J., & O'Brien, J. T. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30153-x · Cited by 347
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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