Development and uptake of an online systematic review platform: the early years of the CAMARADES Systematic Review Facility (SyRF)
Open Access
- 31 March 2021
- journal article
- review article
- Published by Portico in BMJ Open Science
- Vol. 5 (1), e100103
- https://doi.org/10.1136/bmjos-2020-100103
Abstract
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.Keywords
Funding Information
- National Centre for the Replacement Refinement and Reduction of Animals in Research (NC/L000970/1)
This publication has 14 references indexed in Scilit:
- Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening errorSystematic Reviews, 2019
- Software tools for literature screening in systematic reviews in biomedical researchAltex, 2019
- Automation of citation screening in pre-clinical systematic reviewsPublished by Cold Spring Harbor Laboratory ,2018
- Online tools supporting the conduct and reporting of systematic reviews and systematic maps: a case study on CADIMA and review of existing toolsEnvironmental Evidence, 2018
- Risk of bias reporting in the recent animal focal cerebral ischaemia literatureClinical Science, 2017
- D-galactose-induced brain ageing model: A systematic review and meta-analysis on cognitive outcomes and oxidative stress indicesPLOS ONE, 2017
- Understandingin vivomodelling of depression in non-human animals: a systematic review protocolEvidence-based Preclinical Medicine, 2016
- Systematic Review and Meta-Analysis of the Efficacy of Interleukin-1 Receptor Antagonist in Animal Models of Stroke: an UpdateTranslational Stroke Research, 2016
- Dissemination Bias in Systematic Reviews of Animal Research: A Systematic ReviewPLOS ONE, 2014
- The RecordLinkage Package: Detecting Errors in DataThe R Journal, 2010