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是否到了使用可计算证据合成的时候了?

Is it time for computable evidence synthesis?

机构信息

Centre for Health Informatics, Macquarie University, Sydney, New South Wales, Australia.

Discipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

出版信息

J Am Med Inform Assoc. 2020 Jun 1;27(6):972-975. doi: 10.1093/jamia/ocaa035.

Abstract

Efforts aimed at increasing the pace of evidence synthesis have been primarily focused on the use of published articles, but these are a relatively delayed, incomplete, and at times biased source of study results data. Compared to those in bibliographic databases, structured results data available in trial registries may be more timely, complete, and accessible, but these data remain underutilized. Key advantages of using structured results data include the potential to automatically monitor the accumulation of relevant evidence and use it to signal when a systematic review requires updating, as well as to prospectively assign trials to already published reviews. Shifting focus to emerging sources of structured trial data may provide the impetus to build a more proactive and efficient system of continuous evidence surveillance.

摘要

旨在加快证据综合步伐的努力主要集中在已发表文章的使用上,但这些文章是研究结果数据相对滞后、不完整且有时存在偏差的来源。与文献数据库中的数据相比,试验注册处提供的结构化结果数据可能更及时、更完整、更易于获取,但这些数据仍未得到充分利用。使用结构化结果数据的主要优势包括有可能自动监测相关证据的积累,并利用这些证据来提示系统评价何时需要更新,以及前瞻性地将试验分配到已发表的综述中。将重点转移到新兴的结构化试验数据来源上,可能会为建立一个更积极主动和高效的持续证据监测系统提供动力。

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