{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T18:22:26Z","timestamp":1785349346344,"version":"3.55.0"},"reference-count":36,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Geriat Psychiatry"],"published-print":{"date-parts":[[2021,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Dementia with Lewy bodies (DLB) is a major cause of degenerative dementia, yet the diagnosis is often missed or mistaken for Alzheimer's disease (AD). We assessed whether the revised Addenbrooke's Cognitive Examination (ACE\u2010R), a brief test for dementia, differentiates DLB from AD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We first compared baseline ACE\u2010R performance in 76 individuals with DLB, 40 individuals with AD and 66 healthy controls. We then investigated the diagnostic accuracy of a simple standardised \u2018memory\/visuospatial\u2019 ratio calculated from the ACE\u2010R subscores. Finally, as a comparison a logistic regression machine learning algorithm was trained to classify between DLB and AD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Individuals with AD had poorer memory (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.001) and individuals with DLB had poorer visuospatial function (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.005). Receiver operating characteristics curves confirmed that the ACE\u2010R total score could differentiate dementia from non\u2010dementia cases with 98% accuracy, but could not discriminate between dementia types (50%, or chance\u2010level accuracy). However, a \u2018memory\/visuospatial\u2019 ratio \u22651.1 differentiated DLB from AD with 82% sensitivity, 68% specificity and 77% mean accuracy. The machine learning classifier did not improve the overall diagnostic accuracy (74%) of the simple ACE\u2010R subscores ratio.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The ACE\u2010R\u2010based \u2018memory\/visuospatial\u2019 ratio, but not total score, demonstrates good clinical utility for the differential diagnosis of DLB from AD.<\/jats:p><\/jats:sec>","DOI":"10.1002\/gps.5483","type":"journal-article","created":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T19:50:24Z","timestamp":1607111424000},"page":"831-838","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["The revised Addenbrooke's Cognitive Examination can facilitate differentiation of dementia with Lewy bodies from Alzheimer's disease"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0209-9131","authenticated-orcid":false,"given":"Maria 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