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- W2989559103 abstract "Early detection of Alzheimer's disease is vital for developing novel treatments. Attempts to identify the intermediate state between normal cognition and dementia have evolved over the past 50 years. Current taxonomies of mild cognitive impairment (MCI) may be criticised for their imprecise operationalisation. With the advent of biomarkers such as amyloid-beta positron emission tomography imaging in established Alzheimer's disease, much research has focused on establishing which factors predict progression from MCI to Alzheimer's disease dementia. In this review, we discuss the historical context of MCI before reviewing the literature of MCI subtypes and their risk of progression to Alzheimer's disease dementia. Finally, we summarise the literature and discuss limitations and weaknesses of how the construct is operationalised and implemented, before offering suggestions for development of the concept of MCI. We conclude that MCI must be empirically defined for the sake of its predictive validity to identify Alzheimer's disease before dementia develops." @default.
- W2989559103 created "2019-11-22" @default.
- W2989559103 creator A5031167354 @default.
- W2989559103 creator A5061885347 @default.
- W2989559103 date "2019-11-14" @default.
- W2989559103 modified "2023-09-24" @default.
- W2989559103 title "Mild cognitive impairment: narrative review of taxonomies and systematic review of their prediction of incident Alzheimer's disease dementia" @default.
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- W2989559103 doi "https://doi.org/10.1192/bjb.2019.77" @default.
- W2989559103 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7283119" @default.
- W2989559103 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31724527" @default.
- W2989559103 hasPublicationYear "2019" @default.
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