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Cited by 169

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A critical appraisal of stroke evaluation and rating scales.

Open access
Lyden, P D, Lau, G T·1991·Stroke

Abstract

To judge the efficacy of new, putative stroke therapies, we need a method to measure neurological deficit accurately in groups of patients before and after treatment. No single measurement technique has yet proven to be universally acceptable, but one approach is the use of rating instruments that summarize the neurological deficit found on clinical examination. Currently, stroke assessment scales may be based on the examination of physical deficits, an inventory of activities of daily living, or a global evaluation of functional outcome. Scientific methods for authenticating stroke scales are available in the psychometric and statistical literature. We review currently available stroke scales for their validity and reliability and propose investigations needed to refine further the standardized measurement of neurological deficit following stroke. We suggest that clinical stroke trials include a physical deficit scale and a global rating during the acute phase and that an activities of daily living scale be added at later points in recovery.

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Metadata

Authors
Lyden, P. D., & Lau, G. T.
Venue
Stroke
Published
1991-11
Volume
22
Issue
11
Pages
1345-1352
ISSN
  • 0039-2499 (ISSN-L)
  • 1524-4628
OpenAlex
W2154863203
Cited by
169
References
1
FWCI
8.96
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A critical appraisal of stroke evaluation and rating scales. https://app.cochat.ai/papers/10.1161/01.str.22.11.1345
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Lyden, P. D., & Lau, G. T. (1991). A critical appraisal of stroke evaluation and rating scales. Stroke. https://doi.org/10.1161/01.str.22.11.1345

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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.