2026-06-14T03:40:14Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/157702025-06-11T12:36:53Zcom_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19612col_20.500.12105_16961
Repisalud
author
Torres Moral, Teresa
author
Sanchez-Niubo, Albert
author
Monistrol-Mula, Anna
author
Gerardi, Chiara
author
Banzi, Rita
author
Garcia, Paula
author
Demotes-Mainard, Jacques
author
Haro, Josep Maria
author
The Permit Group
author
Imaz-Iglesia, Iñaki
funder
Unión Europea. Comisión Europea. H2020
2023-04-12T08:09:25Z
2023-04-12T08:09:25Z
2022-04-26
J Pers Med. 2022 Apr 26;12(5):688.
10.3390/jpm12050688
2075-4426
Journal of personalized medicine
35629113
http://hdl.handle.net/20.500.12105/15770
Personalized medicine requires large cohorts for patient stratification and validation of patient clustering. However, standards and harmonized practices on the methods and tools to be used for the design and management of cohorts in personalized medicine remain to be defined. This study aims to describe the current state-of-the-art in this area. A scoping review was conducted searching in PubMed, EMBASE, Web of Science, Psycinfo and Cochrane Library for reviews about tools and methods related to cohorts used in personalized medicine. The search focused on cancer, stroke and Alzheimer's disease and was limited to reports in English, French, German, Italian and Spanish published from 2005 to April 2020. The screening process was reported through a PRISMA flowchart. Fifty reviews were included, mostly including information about how data were generated (25/50) and about tools used for data management and analysis (24/50). No direct information was found about the quality of data and the requirements to monitor associated clinical data. A scarcity of information and standards was found in specific areas such as sample size calculation. With this information, comprehensive guidelines could be developed in the future to improve the reproducibility and robustness in the design and management of cohorts in personalized medicine studies.
eng
Cohorts
Sample size
Stratification
Personalized medicine
Methods for Stratification and Validation Cohorts: A Scoping Review
review article
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MethodsStratificationValidationCohorts_2022.pdf
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Supplementary_MethodsStratificationValidationCohorts_2022.pdf
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MethodsStratificationValidationCohorts_2022.pdf.txt
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Supplementary_MethodsStratificationValidationCohorts_2022.pdf.txt