dc.creatorRada G., Gabriel
dc.creatorBravo Soto, Gonzalo A.
dc.creatorBravo Jeria, Rocío
dc.creatorCapurro, Daniel
dc.creatorMorel Marambio, Macarena
dc.creatorNeumann Burotto, Gonzalo Ignacio
dc.creatorOrtiz Muñoz, Luis
dc.creatorPeña Durán, José Esteban
dc.creatorRivera Mercado, Solange
dc.creatorSoto Subiabre, Mauricio Andrés
dc.date.accessioned2020-12-11T11:56:08Z
dc.date.available2020-12-11T11:56:08Z
dc.date.created2020-12-11T11:56:08Z
dc.date.issued2020
dc.identifierBMC Medical Research Methodology. 2020 Nov 30;20(1):286
dc.identifier10.1186/s12874-020-01157-x
dc.identifierhttps://doi.org/10.1186/s12874-020-01157-x
dc.identifierhttps://repositorio.uc.cl/handle/11534/50017
dc.description.abstractAbstract Background Systematic reviews allow health decisions to be informed by the best available research evidence. However, their number is proliferating quickly, and many skills are required to identify all the relevant reviews for a specific question. Methods and findings We screen 10 bibliographic databases on a daily or weekly basis, to identify systematic reviews relevant for health decision-making. Using a machine-based approach developed for this project we select reviews, which are then validated by a network of more than 1000 collaborators. After screening over 1,400,000 records we have identified more than 300,000 systematic reviews, which are now stored in a single place and accessible through an easy-to-use search engine. This makes Epistemonikos the largest database of its kind. Conclusions Using a systematic approach, recruiting a broad network of collaborators and implementing automated methods, we developed a one-stop shop for systematic reviews relevant for health decision making.
dc.languageen
dc.rightsThe Author(s)
dc.rightsacceso abierto
dc.subjectBibliographic database
dc.subjectSystematic reviews
dc.subjectEpistemonikos
dc.subjectEvidence-based practice
dc.titleEpistemonikos: a comprehensive database of systematic reviews for health decision-making
dc.typeartículo


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