Epistemonikos：用于健康决策的系统评价综合数据库。
Epistemonikos: a comprehensive database of systematic reviews for health decision-making.
机构信息
Centro Evidencia UC, Pontificia Universidad Católica de Chile, Santiago, Chile.
Epistemonikos Foundation, Avenida Holanda 895, Providencia, Santiago, Chile.
出版信息
BMC Med Res Methodol. 2020 Nov 30;20(1):286. doi: 10.1186/s12874-020-01157-x.
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.
背景
系统评价使健康决策能够依据最佳现有研究证据做出。然而，它们的数量迅速增加，并且需要许多技能来确定特定问题的所有相关综述。
方法和发现
我们每天或每周筛选 10 个书目数据库，以确定与健康决策相关的系统评价。我们使用为此项目开发的基于机器的方法来选择综述，然后由一个由 1000 多名合作者组成的网络进行验证。在筛选了超过 140 万条记录后，我们已经确定了超过 30 万篇系统评价，这些评价现在存储在一个地方，并可通过一个易于使用的搜索引擎访问。这使 Epistemonikos 成为同类中最大的数据库。
结论
我们采用系统的方法，招募广泛的合作者网络，并实施自动化方法，为与健康决策相关的系统评价开发了一站式服务。
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