Epistemonikos: a comprehensive database of systematic reviews for health decision-making
link https://doi.org/10.1186/s12874-020-01157-xaccount_box Rada G., Gabrielaccount_box Bravo Soto, Gonzalo A.account_box Bravo Jeria, Rocíoaccount_box Capurro, Danielaccount_box Morel Marambio, Macarenaaccount_box Neumann Burotto, Gonzalo Ignacioaccount_box Ortiz Muñoz, Luisaccount_box Peña Durán, José Estebanaccount_box Rivera Mercado, Solangeaccount_box Soto Subiabre, Mauricio Andrés
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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.
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| Autor | Rada G., Gabriel Bravo Soto, Gonzalo A. Bravo Jeria, Rocío Capurro, Daniel Morel Marambio, Macarena Neumann Burotto, Gonzalo Ignacio Ortiz Muñoz, Luis Peña Durán, José Esteban Rivera Mercado, Solange Soto Subiabre, Mauricio Andrés |
| Título | Epistemonikos: a comprehensive database of systematic reviews for health decision-making |
| Revista | BMC Medical Research Methodology |
| Volumen | Vol. 20 |
| Número de publicación | No. 286 |
| Página inicio | 1 |
| Página final | 7 |
| Fecha de publicación | 2020 |
| Cómo citar este documento | BMC Medical Research Methodology. 2020 Nov 30;20(1):286 |
| Resumen | 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. |
| Derechos | acceso abierto |
| DOI | 10.1186/s12874-020-01157-x |
| Enlace | |
| Id de publicación en WoS | WOS:000597208500003 |
| Paginación | 7 páginas |
| Palabra clave | Bibliographic database Systematic reviews Epistemonikos Evidence-based practice |
| Tema ODS | 03 Good health and well-being |
| Tema ODS español | 03 Salud y bienestar |
| Temática | Medicina y salud |
| Tipo de documento | artículo |
| Titular de los derechos | The Author(s) |