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Understanding and predicting the longitudinal course of dementia

PURPOSE OF REVIEW: To date, most research in dementia has focused either on the identification of dementia risk prediction or on understanding changes and predictors experienced by individuals before diagnosis. Despite little is known about how individuals change after dementia diagnosis, there is a...

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Autores principales: Melis, René J.F., Haaksma, Miriam L., Muniz-Terrera, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380437/
https://www.ncbi.nlm.nih.gov/pubmed/30557268
http://dx.doi.org/10.1097/YCO.0000000000000482
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author Melis, René J.F.
Haaksma, Miriam L.
Muniz-Terrera, Graciela
author_facet Melis, René J.F.
Haaksma, Miriam L.
Muniz-Terrera, Graciela
author_sort Melis, René J.F.
collection PubMed
description PURPOSE OF REVIEW: To date, most research in dementia has focused either on the identification of dementia risk prediction or on understanding changes and predictors experienced by individuals before diagnosis. Despite little is known about how individuals change after dementia diagnosis, there is agreement that changes occur over different time scales and are multidomain. In this study, we present an overview of the literature regarding the longitudinal course of dementia. RECENT FINDINGS: Our review suggests the evidence is scarce and findings reported are often inconsistent. We identified large heterogeneity in dementia trajectories, risk factors considered and modelling approaches employed. The heterogeneity of dementia trajectories also varies across outcomes and domains investigated. SUMMARY: It became clear that dementia progresses very differently, both between and within individuals. This implies an average trajectory is not informative to individual persons and this needs to be taken into account when communicating prognosis in clinical care. As persons with dementia change in many more ways during their patient journey, heterogeneous disease progressions are the result of disease and patient characteristics. Prognostic models would benefit from including variables across a number of domains. International coordination of replication and standardization of the research approach is recommended.
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spelling pubmed-63804372019-03-12 Understanding and predicting the longitudinal course of dementia Melis, René J.F. Haaksma, Miriam L. Muniz-Terrera, Graciela Curr Opin Psychiatry NEUROCOGNITIVE DISORDERS: Edited by Perminder S. Sachdev and Michael Valenzuela PURPOSE OF REVIEW: To date, most research in dementia has focused either on the identification of dementia risk prediction or on understanding changes and predictors experienced by individuals before diagnosis. Despite little is known about how individuals change after dementia diagnosis, there is agreement that changes occur over different time scales and are multidomain. In this study, we present an overview of the literature regarding the longitudinal course of dementia. RECENT FINDINGS: Our review suggests the evidence is scarce and findings reported are often inconsistent. We identified large heterogeneity in dementia trajectories, risk factors considered and modelling approaches employed. The heterogeneity of dementia trajectories also varies across outcomes and domains investigated. SUMMARY: It became clear that dementia progresses very differently, both between and within individuals. This implies an average trajectory is not informative to individual persons and this needs to be taken into account when communicating prognosis in clinical care. As persons with dementia change in many more ways during their patient journey, heterogeneous disease progressions are the result of disease and patient characteristics. Prognostic models would benefit from including variables across a number of domains. International coordination of replication and standardization of the research approach is recommended. Lippincott Williams & Wilkins 2019-03 2019-01-07 /pmc/articles/PMC6380437/ /pubmed/30557268 http://dx.doi.org/10.1097/YCO.0000000000000482 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle NEUROCOGNITIVE DISORDERS: Edited by Perminder S. Sachdev and Michael Valenzuela
Melis, René J.F.
Haaksma, Miriam L.
Muniz-Terrera, Graciela
Understanding and predicting the longitudinal course of dementia
title Understanding and predicting the longitudinal course of dementia
title_full Understanding and predicting the longitudinal course of dementia
title_fullStr Understanding and predicting the longitudinal course of dementia
title_full_unstemmed Understanding and predicting the longitudinal course of dementia
title_short Understanding and predicting the longitudinal course of dementia
title_sort understanding and predicting the longitudinal course of dementia
topic NEUROCOGNITIVE DISORDERS: Edited by Perminder S. Sachdev and Michael Valenzuela
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380437/
https://www.ncbi.nlm.nih.gov/pubmed/30557268
http://dx.doi.org/10.1097/YCO.0000000000000482
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