Development and uptake of an online systematic review platform: the early years of the CAMARADES Systematic Review Facility (SyRF).
Development and uptake of an online systematic review platform: the early years of the CAMARADES Systematic Review Facility (SyRF).
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开发和吸收在线系统审查平台：友善的系统审查设施（SYRF）的早期。
DOI：
10.1136/bmjos-2020-100103
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Sena C
中科院分区：
文献类型：
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作者：
Bahor Z;Liao J;Currie G;Ayder C;Macleod M;McCann SK;Bannach-Brown A;Wever K;Soliman N;Wang Q;Doran-Constant L;Young L;Sena ES;Sena C
临床前研究是药物发现过程中至关重要的一步，更广泛地说，有助于更好地了解人类疾病的病因学及其管理。系统评价(SRS)在总结和评估关于特定研究问题的证据方面可能是强大的，以突出改进的领域、进一步研究的领域以及证据可能足以推进其他研究领域的领域，例如临床试验。临床前研究综合的指导和工具仍然有限，尽管它们有明显的实用性。我们的目标是创建一个主要用于进行临床前研究的SRS的在线端到端平台，该平台足够灵活，可以支持各种实验设计，可以适应不同的研究问题，允许用户采用新兴的自动化工具，并在他们的审查过程中使用最佳实践来支持他们。在本文中，我们介绍了系统审查机制(https://syrf.org.uk)，)，该机制成立于2016年，旨在主要支持从小型独立项目到大型众包项目的临床前SR。我们讨论了应用程序的架构及其功能，包括轻松协作、高效管理项目、筛选和注释重要功能(元数据)的研究、将结果数据提取到安全数据库中以及为每个项目量身定制这些步骤的机会。我们介绍了我们如何利用自动化工具的使用，并允许这些服务的集成，以加速和自动化系统审查工作流程中的步骤。
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.