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Epistemonikos: a comprehensive database of systematic reviews for health decision-making.


ABSTRACT: 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.

SUBMITTER: Rada G 

PROVIDER: S-EPMC7708132 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Epistemonikos: a comprehensive database of systematic reviews for health decision-making.

Rada Gabriel G   Pérez Daniel D   Araya-Quintanilla Felipe F   Ávila Camila C   Bravo-Soto Gonzalo G   Bravo-Jeria Rocío R   Cánepa Aldo A   Capurro Daniel D   Castro-Gutiérrez Victoria V   Contreras Valeria V   Edwards Javiera J   Faúndez Jorge J   Garrido Damián D   Jiménez Magdalena M   Llovet Valentina V   Lobos Diego D   Madrid Francisco F   Morel-Marambio Macarena M   Mendoza Antonia A   Neumann Ignacio I   Ortiz-Muñoz Luis L   Peña José J   Pérez Marcelo M   Pesce Franco F   Rain Carmen C   Rivera Solange S   Sepúlveda Javiera J   Soto Mauricio M   Valverde Felipe F   Vásquez Juan J   Verdugo-Paiva Francisca F   Vergara Camilo C   Zavala Cynthia C   Zilleruelo-Ramos Ricardo R  

BMC medical research methodology 20201130 1


<h4>Background</h4>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.<h4>Methods and findings</h4>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  ...[more]

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