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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2019
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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. |
format | Online Article Text |
id | pubmed-6380437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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