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Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population
BACKGROUND: Our study aimed to determine whether the consideration of socio-demographic features improves the prediction of Alzheimer’s dementia (AD) at 5 years when using the Free and Cued Selective Reminding Test (FCSRT) in the general older population. METHODS: Our analyses focused on 2558 subjec...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364571/ https://www.ncbi.nlm.nih.gov/pubmed/28335796 http://dx.doi.org/10.1186/s13195-016-0230-x |
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author | Mura, Thibault Baramova, Marieta Gabelle, Audrey Artero, Sylvaine Dartigues, Jean-François Amieva, Hélène Berr, Claudine |
author_facet | Mura, Thibault Baramova, Marieta Gabelle, Audrey Artero, Sylvaine Dartigues, Jean-François Amieva, Hélène Berr, Claudine |
author_sort | Mura, Thibault |
collection | PubMed |
description | BACKGROUND: Our study aimed to determine whether the consideration of socio-demographic features improves the prediction of Alzheimer’s dementia (AD) at 5 years when using the Free and Cued Selective Reminding Test (FCSRT) in the general older population. METHODS: Our analyses focused on 2558 subjects from the prospective Three-City Study, a cohort of community-dwelling individuals aged 65 years and over, with FCSRT scores. Four “residual scores” and “risk scores” were built that included the FCSRT scores and socio-demographic variables. The predictive performance of crude, residual and risk scores was analyzed by comparing the areas under the ROC curve (AUC). RESULTS: In total, 1750 subjects were seen 5 years after completing the FCSRT. AD was diagnosed in 116 of them. Compared with the crude free-recall score, the predictive performances of the residual score and of the risk score were not significantly improved (AUC: 0.83 vs 0.82 and 0.88 vs 0.89 respectively). CONCLUSION: Using socio-demographic features in addition to the FCSRT does not improve its predictive performance for dementia or AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13195-016-0230-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5364571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53645712017-03-24 Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population Mura, Thibault Baramova, Marieta Gabelle, Audrey Artero, Sylvaine Dartigues, Jean-François Amieva, Hélène Berr, Claudine Alzheimers Res Ther Research BACKGROUND: Our study aimed to determine whether the consideration of socio-demographic features improves the prediction of Alzheimer’s dementia (AD) at 5 years when using the Free and Cued Selective Reminding Test (FCSRT) in the general older population. METHODS: Our analyses focused on 2558 subjects from the prospective Three-City Study, a cohort of community-dwelling individuals aged 65 years and over, with FCSRT scores. Four “residual scores” and “risk scores” were built that included the FCSRT scores and socio-demographic variables. The predictive performance of crude, residual and risk scores was analyzed by comparing the areas under the ROC curve (AUC). RESULTS: In total, 1750 subjects were seen 5 years after completing the FCSRT. AD was diagnosed in 116 of them. Compared with the crude free-recall score, the predictive performances of the residual score and of the risk score were not significantly improved (AUC: 0.83 vs 0.82 and 0.88 vs 0.89 respectively). CONCLUSION: Using socio-demographic features in addition to the FCSRT does not improve its predictive performance for dementia or AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13195-016-0230-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-23 /pmc/articles/PMC5364571/ /pubmed/28335796 http://dx.doi.org/10.1186/s13195-016-0230-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Mura, Thibault Baramova, Marieta Gabelle, Audrey Artero, Sylvaine Dartigues, Jean-François Amieva, Hélène Berr, Claudine Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title | Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title_full | Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title_fullStr | Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title_full_unstemmed | Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title_short | Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population |
title_sort | predicting dementia using socio-demographic characteristics and the free and cued selective reminding test in the general population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364571/ https://www.ncbi.nlm.nih.gov/pubmed/28335796 http://dx.doi.org/10.1186/s13195-016-0230-x |
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