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Developing a Dementia Platform Databank Using Multiple Existing Cohorts
This study was conducted as a pilot project to evaluate the feasibility of building an integrate dementia platform converging pre-existing dementia cohorts from several variable levels. The following four cohorts were used to develop this pilot platform: 1) Clinical Research Center for Dementia of S...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542465/ https://www.ncbi.nlm.nih.gov/pubmed/34672140 http://dx.doi.org/10.3349/ymj.2021.62.11.1062 |
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author | Kang, Minwoong Cheon, Bo Kyoung Hahn, Min Jung Seo, Sang Won Cho, Juhee Shin, Soo-Yong Na, Duk L. Cho, Jaelim Choi, Seong Hye Kang, Danbee |
author_facet | Kang, Minwoong Cheon, Bo Kyoung Hahn, Min Jung Seo, Sang Won Cho, Juhee Shin, Soo-Yong Na, Duk L. Cho, Jaelim Choi, Seong Hye Kang, Danbee |
author_sort | Kang, Minwoong |
collection | PubMed |
description | This study was conducted as a pilot project to evaluate the feasibility of building an integrate dementia platform converging pre-existing dementia cohorts from several variable levels. The following four cohorts were used to develop this pilot platform: 1) Clinical Research Center for Dementia of South Korea (CREDOS), 2) Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer’s disease (K-BASE), 3) Environmental Pollution-induced Neurological Effects (EPINEF) study, and 4) a prospective registry in Dementia Platform Korea project (DPKR). A total of 29916 patients were included in the platform with 348 integrated variables. Among participants, 13.9%, 31.5%, and 44.2% of patients had normal cognition, mild cognitive impairment, and dementia, respectively. The mean age was 72.4 years. Females accounted for 65.7% of all patients. Those with college or higher education and those without problems in reading or writing accounted for 12.3% and 46.8%, respectively. Marital status, cohabitation, family history of Parkinson’s disease, smoking and drinking status, physical activity, sleep status, and nutrition status had rates of missing information of 50% or more. Although individual cohorts were of the same domain and of high quality, we found there were several barriers to integrating individual cohorts, including variability in study variables and measurements. Although many researchers are trying to combine pre-existing cohorts, the process of integrating past data has not been easy. Therefore, it is necessary to establish a protocol with considerations for data integration at the cohort establishment stage. |
format | Online Article Text |
id | pubmed-8542465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-85424652021-11-04 Developing a Dementia Platform Databank Using Multiple Existing Cohorts Kang, Minwoong Cheon, Bo Kyoung Hahn, Min Jung Seo, Sang Won Cho, Juhee Shin, Soo-Yong Na, Duk L. Cho, Jaelim Choi, Seong Hye Kang, Danbee Yonsei Med J Brief Communication This study was conducted as a pilot project to evaluate the feasibility of building an integrate dementia platform converging pre-existing dementia cohorts from several variable levels. The following four cohorts were used to develop this pilot platform: 1) Clinical Research Center for Dementia of South Korea (CREDOS), 2) Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer’s disease (K-BASE), 3) Environmental Pollution-induced Neurological Effects (EPINEF) study, and 4) a prospective registry in Dementia Platform Korea project (DPKR). A total of 29916 patients were included in the platform with 348 integrated variables. Among participants, 13.9%, 31.5%, and 44.2% of patients had normal cognition, mild cognitive impairment, and dementia, respectively. The mean age was 72.4 years. Females accounted for 65.7% of all patients. Those with college or higher education and those without problems in reading or writing accounted for 12.3% and 46.8%, respectively. Marital status, cohabitation, family history of Parkinson’s disease, smoking and drinking status, physical activity, sleep status, and nutrition status had rates of missing information of 50% or more. Although individual cohorts were of the same domain and of high quality, we found there were several barriers to integrating individual cohorts, including variability in study variables and measurements. Although many researchers are trying to combine pre-existing cohorts, the process of integrating past data has not been easy. Therefore, it is necessary to establish a protocol with considerations for data integration at the cohort establishment stage. Yonsei University College of Medicine 2021-11 2021-10-18 /pmc/articles/PMC8542465/ /pubmed/34672140 http://dx.doi.org/10.3349/ymj.2021.62.11.1062 Text en © Copyright: Yonsei University College of Medicine 2021 https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Communication Kang, Minwoong Cheon, Bo Kyoung Hahn, Min Jung Seo, Sang Won Cho, Juhee Shin, Soo-Yong Na, Duk L. Cho, Jaelim Choi, Seong Hye Kang, Danbee Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title | Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title_full | Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title_fullStr | Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title_full_unstemmed | Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title_short | Developing a Dementia Platform Databank Using Multiple Existing Cohorts |
title_sort | developing a dementia platform databank using multiple existing cohorts |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542465/ https://www.ncbi.nlm.nih.gov/pubmed/34672140 http://dx.doi.org/10.3349/ymj.2021.62.11.1062 |
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