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Validation of the brazilian version of Guy's neurological disability scale

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, September 2007
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Title
Validation of the brazilian version of Guy's neurological disability scale
Published in
Arquivos de Neuro-Psiquiatria, September 2007
DOI 10.1590/s0004-282x2007000400013
Pubmed ID
Authors

Carolina R. Araujo, Luciano M. Simão, Mariana I. Ybarra, Natasha V.M.G. Faria, Caroline M. Botelho, Marcos A. Moreira, Antônio L. Teixeira, Marco A. Lana-Peixoto

Abstract

The Guy's neurological disability scale (GNDS) has recently been introduced as a new measure of disability in multiple sclerosis. It is patient-oriented, multidimensional, and not biased towards any particular disability. The purpose of the present study was to validate the Brazilian version of the GNDS. The adaptation of the scale was based on the translation/back-translation methodology. Sixty-two patients with clinically definite multiple sclerosis (CDMS) according to Poser's criteria were recruited for this study. GNDS was administered individually to each subject. The EDSS and the ambulation index (AI) scores were assigned by a neurologist. The intraclass correlation coefficient and the Cronbach's alpha values of the Brazilian version of GNDS (0.94 and 0.83, respectively) were comparable to the original one (0.98 and 0.79, respectively). Furthermore, the factor analysis of the Brazilian version of GNDS suggested, as the original article, a four-factor solution which accounted for 68.8% of the total variance. The Brazilian version of GNDS was found to be clinically relevant as it correlated significantly with the EDSS and AI. In conclusion, the Brazilian version of GNDS can be considered an important tool to evaluate the disability in MS patients, with clinical usefulness and psychometrics soundness.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 26%
Researcher 5 22%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 9%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 7 30%
Nursing and Health Professions 3 13%
Neuroscience 2 9%
Social Sciences 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 8 35%