Invited Commentary: Algorithmic Dementia Classification—Promises and Challenges.
Dementia is a complex, progressive syndrome characterized by cognitive decline and disability. Gold-standard dementia diagnosis requires several hours of cognitive and clinical assessment and review by a panel of clinicians and is infeasible in large population-based cohort studies. Alternatively, a...
| Publicado en: | American Journal of Epidemiology Vol. 192; no. 4; pp. 535 - 539 |
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| Autores principales: | , |
| Formato: | commentary Journal Article |
| Publicado: |
Oxford University Press / USA
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163023932&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163023932 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029262 1X1 jtl: American Journal of Epidemiology issn: 00029262 maglogo: N pubinfo: dt: Apr2023 vid: 192 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 163023932 163023932 163023932 10.1093/aje/kwad003 163023932 ppf: 535 ppct: 4 formats: tig: atl: Invited Commentary: Algorithmic Dementia Classification—Promises and Challenges. aug: au: Mayeda, Elizabeth Rose Shaw, Crystal sug: subj: Dementia Classification Algorithms Dementia Diagnosis Cognition Functional Status ab: Dementia is a complex, progressive syndrome characterized by cognitive decline and disability. Gold-standard dementia diagnosis requires several hours of cognitive and clinical assessment and review by a panel of clinicians and is infeasible in large population-based cohort studies. Alternatively, algorithmic dementia classification methods, which use models that take into account measures of cognition and functional limitations or cognitive and functional-limitation score cutoffs, have been developed to predict dementia status for participants in large studies. Developing accurate dementia classification algorithms is crucial for high-quality studies of the distribution and determinants of dementia. The accompanying article by Nichols et al. (Am J Epidemiol. 2023;192(4):520–534) assesses differences in associations of measures of cognition and functional limitations with prevalent dementia versus incident dementia and discusses implications for algorithmic dementia classification in research studies. This work highlights important opportunities for tailoring measures of cognition and functional limitations to study goals by selecting optimal measures and developing and validating algorithms specific to study needs. Combining efficient, high-quality assessments of cognition and functional limitations with innovative study designs will facilitate collection of higher-quality measurements in larger samples and support future development of accurate dementia classifications, ultimately leading to more impactful epidemiologic studies. pubtype: Academic Journal doctype: commentary Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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