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dc.contributor.authorTorres Moral, Teresa
dc.contributor.authorSanchez-Niubo, Albert
dc.contributor.authorMonistrol-Mula, Anna
dc.contributor.authorGerardi, Chiara
dc.contributor.authorBanzi, Rita
dc.contributor.authorGarcia, Paula
dc.contributor.authorDemotes-Mainard, Jacques
dc.contributor.authorHaro, Josep Maria
dc.contributor.authorThe Permit Group
dc.contributor.authorImaz-Iglesia, Iñaki 
dc.date.accessioned2023-04-12T08:09:25Z
dc.date.available2023-04-12T08:09:25Z
dc.date.issued2022-04-26
dc.identifier.citationJ Pers Med. 2022 Apr 26;12(5):688.es_ES
dc.identifier.issn2075-4426es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15770
dc.description.abstractPersonalized 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.es_ES
dc.description.sponsorshipThis research was funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 874825.es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCohortses_ES
dc.subjectSample sizees_ES
dc.subjectStratificationes_ES
dc.subjectPersonalized medicinees_ES
dc.titleMethods for Stratification and Validation Cohorts: A Scoping Review.es_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID35629113es_ES
dc.format.volume12es_ES
dc.format.number5es_ES
dc.format.page688es_ES
dc.identifier.doi10.3390/jpm12050688es_ES
dc.contributor.funderUnión Europea. Comisión Europea. H2020 es_ES
dc.description.peerreviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3390/jpm12050688es_ES
dc.identifier.journalJournal of personalized medicinees_ES
dc.repisalud.centroISCIII::Agencia de Evaluación de Tecnologías Sanitariases_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/874825/EUes_ES
dc.rights.accessRightsopen accesses_ES


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