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dc.contributor.authorHunt, HA
dc.contributor.authorVan Kampen, S
dc.contributor.authorTakwoingi, Y
dc.contributor.authorLlewellyn, DJ
dc.contributor.authorPearson, M
dc.contributor.authorHyde, CJ
dc.date.accessioned2017-06-08T10:13:58Z
dc.date.issued2017-06-01
dc.description.abstractBackground Improved dementia identification is a global health priority, and general practitioners (GPs) are often the first point of contact for people with concerns about their cognition. However, GPs often express uncertainty in using assessment tools and the evidence based on which tests are most accurate in identifying dementia is unclear. In particular, there is little certainty around how the accuracy of available brief cognitive assessments compares within a clinical family practice setting. Grounded in existing brief cognitive assessment evidence, we will compare the diagnostic test accuracy of the Mini Mental State Examination (MMSE) to the General Practitioner Assessment of Cognition (GPCOG) against the best available reference standard when used within a family practice setting. Methods We will employ robust systematic review methods to assess studies of diagnostic accuracy where both the MMSE and GPCOG have been evaluated as direct comparisons, i.e. within the same study population. This approach will enable us to minimise between-study heterogeneity, to eliminate the risk of bias due to confounding and increase the opportunity to make clinically useful and useable comparisons of diagnostic accuracy across both the MMSE and GPCOG. This systematic review will be conducted using a pragmatic search strategy, refining searches that build upon studies identified as part of our overview of systematic reviews of the diagnostic accuracy of brief cognitive assessments for identifying dementia in primary care. Discussion Through this systematic review, we aim to improve existing evidence on how the diagnostic accuracy of MMSE and GPCOG compares when used to identify dementia within the family practice setting. We also aim to make clinical practice recommendations based upon the variations in diagnostic accuracy identified between the MMSE and GPCOG.en_GB
dc.description.sponsorshipNo funding has been received for the conduct of this specific systematic review, although it is supported as part of doctoral research funding for HH provided by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South West Peninsula.en_GB
dc.identifier.citationVol. 1, article 14en_GB
dc.identifier.doi10.1186/s41512-017-0014-1
dc.identifier.urihttp://hdl.handle.net/10871/27862
dc.language.isoenen_GB
dc.publisherBioMed Centralen_GB
dc.rights© The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_GB
dc.subjectDementiaen_GB
dc.subjectBrief cognitive assessmenten_GB
dc.subjectDiagnostic accuracyen_GB
dc.subjectPrimary careen_GB
dc.subjectSystematic reviewen_GB
dc.titleThe comparative diagnostic accuracy of the Mini Mental State Examination (MMSE) and the General Practitioner assessment of Cognition (GPCOG) for identifying dementia in primary care: a systematic review protocolen_GB
dc.typeArticleen_GB
dc.date.available2017-06-08T10:13:58Z
dc.descriptionThis is the final version of the article. Available from BioMed Central via the DOI in this record.en_GB
dc.identifier.journalDiagnostic and Prognostic Researchen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/


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© The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's licence is described as © The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.