Literature DB >> 25590458

Screening for cognitive impairment after stroke: A systematic review of psychometric properties and clinical utility.

Louisa Burton1, Sarah F Tyson.   

Abstract

OBJECTIVE: To systematically review the psychometric properties and clinical utility of cognitive screening tools post-stroke. DATA SOURCES: EMBASE, CINAHL, MEDLINE, PsychInfo. STUDY SELECTION: Studies testing the accuracy of screening tools for cognitive impairment after stroke. DATA EXTRACTION: Data regarding the participants, selection criteria, criterion/reference measure, cut-off score, sensitivity, specificity and positive and negative predicted values for the selected tools were extracted. Tools with sensitivity ≥ 80% and specificity ≥ 60% were selected. Clinical utility was assessed using a previously validated tool and those scoring <6 were excluded. DATA SYNTHESIS: Twenty-one papers regarding 12 screening tools were selected. Only the Montreal Cognitive Assessment (MoCA) and Mini Mental State Examination (MMSE) met all psychometric and clinical utility criteria for any levels of cognitive impairment. However, the MMSE is most accurate to screen for dementia (cut-off score 23/24) and should only be used for this purpose. In addition, the following can be used to detect: • Any impairment: Addenbrooke's Cognitive Examination-Revised (ACE-R), Barrow Neurological Institute Screen for Higher Cerebral Functions (BNIS) and Cognistat. • Multiple-domain impairments: ACE-R, Telephone-MoCA or modified Telephone Interview for Cognitive Status (TICS). • Dementia: TICS; Cambridge Cognitive Examination; Rotterdam-Cambridge Cognitive Examination; Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE) and short-IQCODE. The IQCODE and short-IQCODE are useful when the patient is unable to respond and an informant's view is required.
CONCLUSION: The MoCA is the most valid and clinically feasible screening tool to identify stroke survivors with a wide range of cognitive impairments who warrant further assessment.

Entities:  

Mesh:

Year:  2015        PMID: 25590458     DOI: 10.2340/16501977-1930

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  34 in total

Review 1.  Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the early diagnosis of dementia across a variety of healthcare settings.

Authors:  Jennifer K Harrison; David J Stott; Rupert McShane; Anna H Noel-Storr; Rhiannon S Swann-Price; Terry J Quinn
Journal:  Cochrane Database Syst Rev       Date:  2016-11-21

2.  Screening for neurocognitive impairment in HIV-positive adults aged 50 years and older: Montreal Cognitive Assessment relates to self-reported and clinician-rated everyday functioning.

Authors:  P L Fazeli; K B Casaletto; E Paolillo; R C Moore; D J Moore
Journal:  J Clin Exp Neuropsychol       Date:  2017-01-26       Impact factor: 2.475

3.  Artificially-reconstructed brain images with stroke lesions from non-imaging data: modeling in categorized patients based on lesion occurrence and sparsity.

Authors:  Stephanie Sutoko; Hirokazu Atsumori; Akiko Obata; Ayako Nishimura; Tsukasa Funane; Masashi Kiguchi; Akihiko Kandori; Koji Shimonaga; Seiji Hama; Toshio Tsuji
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

4.  One-Year Trajectory of Cognitive Changes in Older Survivors of COVID-19 in Wuhan, China: A Longitudinal Cohort Study.

Authors:  Yu-Hui Liu; Yang Chen; Qing-Hua Wang; Ling-Ru Wang; Li Jiang; Ying Yang; Xian Chen; Ying Li; Yuan Cen; Cheng Xu; Jie Zhu; Wei Li; Ye-Ran Wang; Li-Li Zhang; Juan Liu; Zhi-Qiang Xu; Yan-Jiang Wang
Journal:  JAMA Neurol       Date:  2022-05-01       Impact factor: 29.907

5.  Relationship between β-amyloid protein 1-42, thyroid hormone levels and the risk of cognitive impairment after ischemic stroke.

Authors:  Lei Mao; Xiao-Han Chen; Jian-Hua Zhuang; Peng Li; Yi-Xin Xu; Yu-Chen Zhao; Yue-Jin Ma; Bin He; You Yin
Journal:  World J Clin Cases       Date:  2020-01-06       Impact factor: 1.337

6.  Exploring the relationship between visuospatial function and age-related deficits in motor skill transfer.

Authors:  Jennapher Lingo VanGilder; Christopher S Walter; Caitlin R Hengge; Sydney Y Schaefer
Journal:  Aging Clin Exp Res       Date:  2019-09-13       Impact factor: 3.636

7.  The Montreal Cognitive Assessment: Normative Data from a Large Swedish Population-Based Cohort.

Authors:  Emma Borland; Katarina Nägga; Peter M Nilsson; Lennart Minthon; Erik D Nilsson; Sebastian Palmqvist
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

8.  Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the early detection of dementia across a variety of healthcare settings.

Authors:  Jennifer K Burton; David J Stott; Rupert McShane; Anna H Noel-Storr; Rhiannon S Swann-Price; Terry J Quinn
Journal:  Cochrane Database Syst Rev       Date:  2021-07-18

9.  Using the Oxford Cognitive Screen to Detect Cognitive Impairment in Stroke Patients: A Comparison with the Mini-Mental State Examination.

Authors:  Mauro Mancuso; Nele Demeyere; Laura Abbruzzese; Alessio Damora; Valentina Varalta; Fabio Pirrotta; Gabriella Antonucci; Alessandro Matano; Marina Caputo; Maria Giovanna Caruso; Giovanna Teresa Pontiggia; Michela Coccia; Irene Ciancarelli; Pierluigi Zoccolotti
Journal:  Front Neurol       Date:  2018-02-28       Impact factor: 4.003

10.  ARTEMIDA Trial (A Randomized Trial of Efficacy, 12 Months International Double-Blind Actovegin): A Randomized Controlled Trial to Assess the Efficacy of Actovegin in Poststroke Cognitive Impairment.

Authors:  Alla Guekht; Ingmar Skoog; Sally Edmundson; Vladimir Zakharov; Amos D Korczyn
Journal:  Stroke       Date:  2017-05       Impact factor: 7.914

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.