2020
DOI: 10.1186/s12874-020-01157-x
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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 netwo… Show more

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Cited by 54 publications
(36 citation statements)
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“…The Epistemonikos search was updated on 2 March 2021, with a publication date restricted to 2018-2021. Epistemonikos is now well established as a comprehensive database of reviews that regularly searches ten major databases including the Cochrane Library, PubMed and Embase 13 thus making the need to search these individual databases redundant. We also checked the Centre of Evidence Based Dermatology eczema map of systematic reviews, 14 and searched PROSPERO up to 23 March 2021 for any relevant ongoing systematic reviews using the terms 'eczema' and 'dermatitis'.…”
Section: Methodsmentioning
confidence: 99%
“…The Epistemonikos search was updated on 2 March 2021, with a publication date restricted to 2018-2021. Epistemonikos is now well established as a comprehensive database of reviews that regularly searches ten major databases including the Cochrane Library, PubMed and Embase 13 thus making the need to search these individual databases redundant. We also checked the Centre of Evidence Based Dermatology eczema map of systematic reviews, 14 and searched PROSPERO up to 23 March 2021 for any relevant ongoing systematic reviews using the terms 'eczema' and 'dermatitis'.…”
Section: Methodsmentioning
confidence: 99%
“…Numerous initiatives have begun that use human effort, machine learning, or a combination, to identify relevant studies, categorize them according to intervention or population group, and in some cases extract and analyze data before a systematic review has been ordered, so that researchers will be positioned to rapidly produce high-quality evidence syntheses on a variety of topics as soon as policymakers request them. Some of the larger initiatives include the COVID-NMA project, focused on continuously updating analyses of randomized trials [ 29 ]; Epistemonikos’ LOVE database, which categorizes studies according to “type of question”, suitable for systematic reviews [ 30 ]; and the EPPI Centre’s living map, containing 11 heterogenous and mutually exclusive categories such as vaccine development, genetics, and mental health impacts [ 31 ].…”
Section: Methodsmentioning
confidence: 99%
“…• fulfilled the definition of systematic review used in the Epistemonikos Database [12]. • addressed a question directly relevant to COVID-19.…”
Section: Samplementioning
confidence: 99%