Bahor Zsanett, Liao Jing, Currie Gillian, Ayder Can, Macleod Malcolm, McCann Sarah K, Bannach-Brown Alexandra, Wever Kimberley, Soliman Nadia, Wang Qianying, Doran-Constant Lee, Young Laurie, Sena Emily S, Sena Chris
Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
BMJ Open Sci. 2021 Mar 30;5(1):e100103. doi: 10.1136/bmjos-2020-100103. eCollection 2021.
Preclinical research is a vital step in the drug discovery pipeline and more generally in helping to better understand human disease aetiology and its management. Systematic reviews (SRs) can be powerful in summarising and appraising this evidence concerning a specific research question, to highlight areas of improvements, areas for further research and areas where evidence may be sufficient to take forward to other research domains, for instance clinical trial. Guidance and tools for preclinical research synthesis remain limited despite their clear utility. We aimed to create an online end-to-end platform primarily for conducting SRs of preclinical studies, that was flexible enough to support a wide variety of experimental designs, was adaptable to different research questions, would allow users to adopt emerging automated tools and support them during their review process using best practice. In this article, we introduce the Systematic Review Facility (https://syrf.org.uk), which was launched in 2016 and designed to support primarily preclinical SRs from small independent projects to large, crowdsourced projects. We discuss the architecture of the app and its features, including the opportunity to collaborate easily, to efficiently manage projects, to screen and annotate studies for important features (metadata), to extract outcome data into a secure database, and tailor these steps to each project. We introduce how we are working to leverage the use of automation tools and allow the integration of these services to accelerate and automate steps in the systematic review workflow.
临床前研究是药物研发流程中的关键一步,更广泛地讲,有助于更好地理解人类疾病的病因及其治疗方法。系统评价(SRs)在总结和评估有关特定研究问题的证据方面具有强大作用,以突出改进领域、进一步研究领域以及证据可能足以推进到其他研究领域(如临床试验)的领域。尽管临床前研究综合的指导和工具具有明显效用,但其仍然有限。我们旨在创建一个在线端到端平台,主要用于开展临床前研究的系统评价,该平台足够灵活,能够支持多种实验设计,能适应不同的研究问题,允许用户采用新兴的自动化工具,并在其评审过程中使用最佳实践为他们提供支持。在本文中,我们介绍了系统评价工具(https://syrf.org.uk),该工具于2016年推出,主要旨在支持从小型独立项目到大型众包项目的临床前系统评价。我们讨论了该应用程序的架构及其功能,包括轻松协作的机会、高效管理项目的能力、筛选和注释研究的重要特征(元数据)、将结果数据提取到安全数据库中,以及针对每个项目调整这些步骤。我们介绍了我们如何努力利用自动化工具的使用,并允许整合这些服务,以加速和自动化系统评价工作流程中的步骤。