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Cited by 517

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Loss of arm function after stroke: measurement, frequency, and recovery

Parker, V. M., Wade, D. T., Hewer, R. Langton·1986·International Rehabilitation Medicine

Abstract

This study aims to establish the frequency of paralysis and other arm problems after stroke; the recovery of lost function; and to compare various tests of the affected arm. Thirteen per cent of the sample had no arm paralysis when first seen within 14 days. At 3 months 24 per cent of survivors had moderate or severe paralysis; 57 per cent could place nine pegs into holes within 50 seconds; 19 per cent had significant sensory disturbance; 5 per cent had shoulder pain; 8 per cent had restricted passive shoulder movement; and 17 per cent had some paralysis of the dominant arm. Between 3 and 6 months, improvement of motor power was seen in 40 per cent of patients, and 13 per cent of patients improved their function. Severity of initial paralysis was an important prognostic factor.

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Crossref · 10.3109/03790798609166178

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Metadata

Authors
Parker, V. M., Wade, D. T., & Hewer, R. L.
Venue
International Rehabilitation Medicine
Published
1986-01
Volume
8
Issue
2
Pages
69-73
ISSN
0379-0797 (ISSN-L)
OpenAlex
W2001615800
Cited by
517
References
12
FWCI
4.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Loss of arm function after stroke: measurement, frequency, and recovery. https://app.cochat.ai/papers/10.3109/03790798609166178
The paper
Parker, V. M., Wade, D. T., & Hewer, R. L. (1986). Loss of arm function after stroke: measurement, frequency, and recovery. International Rehabilitation Medicine. https://doi.org/10.3109/03790798609166178

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.