Test accuracy of informant-based cognitive screening tests for diagnosis of dementia and multidomain cognitive impairment in stroke

McGovern, A., Pendlebury, S. T., Mishra, N. k., Fan, Y. and Quinn, T. J. (2016) Test accuracy of informant-based cognitive screening tests for diagnosis of dementia and multidomain cognitive impairment in stroke. Stroke, 47(2), pp. 329-335. (doi: 10.1161/strokeaha.115.011218) (PMID:26683423)

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Abstract

Background and Purpose—Poststroke cognitive assessment can be performed using standardized questionnaires designed for family or care givers. We sought to describe the test accuracy of such informant-based assessments for diagnosis of dementia/multidomain cognitive impairment in stroke. Methods—We performed a systematic review using a sensitive search strategy across multidisciplinary electronic databases. We created summary test accuracy metrics and described reporting and quality using STARDdem and Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tools, respectively. Results—From 1432 titles, we included 11 studies. Ten papers used the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Four studies described IQCODE for diagnosis of poststroke dementia (n=1197); summary sensitivity: 0.81 (95% confidence interval, 0.60–0.93); summary specificty: 0.83 (95% confidence interval, 0.64–0.93). Five studies described IQCODE as tool for predicting future dementia (n=837); summary sensitivity: 0.60 (95% confidence interval, 0.32–0.83); summary specificity: 0.97 (95% confidence interval, 0.70–1.00). All papers had issues with at least 1 aspect of study reporting or quality. Conclusions—There is a limited literature on informant cognitive assessments in stroke. IQCODE as a diagnostic tool has test properties similar to other screening tools, IQCODE as a prognostic tool is specific but insensitive. We found no papers describing test accuracy of informant tests for diagnosis of prestroke cognitive decline, few papers on poststroke dementia and all included papers had issues with potential bias.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mishra, Dr Nishant and Quinn, Professor Terry
Authors: McGovern, A., Pendlebury, S. T., Mishra, N. k., Fan, Y., and Quinn, T. J.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
Journal Name:Stroke
Publisher:American Heart Association
ISSN:0039-2499
ISSN (Online):1524-4628
Published Online:17 December 2015
Copyright Holders:Copyright © 2015 American Heart Association, Inc.
First Published:First published in Stroke 47(2):329-335
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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