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Cited by 405

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Gait training strategies to optimize walking ability in people with stroke: a synthesis of the evidence

Open access
Eng, Janice J, Tang, Pei-Fang·2007·Expert Review of Neurotherapeutics

Abstract

Stroke is a leading cause of long-term disability. Impairments resulting from stroke lead to persistent difficulties with walking and, subsequently, improved walking ability is one of the highest priorities for people living with a stroke. In addition, walking ability has important health implications in providing protective effects against secondary complications common after a stroke such as heart disease or osteoporosis. This paper systematically reviews common gait training strategies (neurodevelopmental techniques, muscle strengthening, treadmill training and intensive mobility exercises) to improve walking ability. The results (descriptive summaries as well as pooled effect sizes) from randomized controlled trials are presented and implications for optimal gait training strategies are discussed. Novel and emerging gait training strategies are highlighted and research directions proposed to enable the optimal recovery and maintenance of walking ability.

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Crossref · 10.1586/14737175.7.10.1417

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Metadata

Authors
Eng, J. J., & Tang, P.-F.
Venue
Expert Review of Neurotherapeutics
Published
2007-10
Volume
7
Issue
10
Pages
1417-1436
ISSN
  • 1473-7175 (ISSN-L)
  • 1744-8360
OpenAlex
W2099477446
Cited by
405
References
121
FWCI
3.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Gait training strategies to optimize walking ability in people with stroke: a synthesis of the evidence. https://app.cochat.ai/papers/10.1586/14737175.7.10.1417
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Eng, J. J., & Tang, P.-F. (2007). Gait training strategies to optimize walking ability in people with stroke: a synthesis of the evidence. Expert Review of Neurotherapeutics. https://doi.org/10.1586/14737175.7.10.1417

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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.