Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, U.K.
Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, U.K.
Clin Sci (Lond). 2023 May 31;137(10):773-784. doi: 10.1042/CS20220494.
Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent developments in automation, machine learning and systematic review technologies have enabled efficiency gains. Building upon these advances, we developed Systematic Online Living Evidence Summaries (SOLES) to accelerate evidence synthesis. In this approach, we integrate automated processes to continuously gather, synthesise and summarise all existing evidence from a research domain, and report the resulting current curated content as interrogatable databases via interactive web applications. SOLES can benefit various stakeholders by (i) providing a systematic overview of current evidence to identify knowledge gaps, (ii) providing an accelerated starting point for a more detailed systematic review, and (iii) facilitating collaboration and coordination in evidence synthesis.
系统评价和荟萃分析是循证决策和优先事项设定的基石。然而,传统的系统评价耗时费力,限制了其全面评估研究密集型领域最新证据的可行性。自动化、机器学习和系统评价技术的最新发展使得效率得到了提高。在此基础上,我们开发了 Systematic Online Living Evidence Summaries(SOLES)来加速证据综合。在这种方法中,我们整合了自动化流程,以持续从研究领域中收集、综合和总结所有现有的证据,并通过交互式网络应用程序将生成的最新精选内容报告为可查询的数据库。SOLES 可以通过以下方式使各种利益相关者受益:(i)提供当前证据的系统概述,以确定知识空白;(ii)为更详细的系统评价提供加速的起点;(iii)促进证据综合的协作和协调。