Demonstration of the CAMARADES-NC3Rs Systematic Review Facility (SyRF) 30 March 2017 Gillian Currie
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1 Demonstration of the CAMARADES-NC3Rs Systematic Review Facility (SyRF) 30 March 2017 Gillian Currie
2 Outline Previous CAMARADES database SyRF - Systematic Review Facility Educational resources for systematic review and meta-analysis Online platform Flexible for individual projects Demonstration and learn to SyRF
3 CAMARADES Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies Supporting framework for systematic review and meta-analysis of animal studies Look systematically across the modelling of a range of conditions Microsoft Access Data Repository 40 Projects 30 Diseases 25,000 studies from over 400,000 animals
4 Stages of Systematic Review and Meta-analysis Protocol development and registration Systematic search Screen for inclusion.pdf retrieval Meta-data annotation Outcome data extraction Meta-analysis Publication
5 Toolbox for SyrF Protocol development and registration Systematic search Living systematic search Screen for inclusion Machine Learning to aid Screening.pdf retrieval Meta-data annotation Automatic Annotation Outcome data extraction Meta-analysis Data analysis app Publication
6 Go to Website
7 Systematic Review
8 SyRF Traffic
9 Protocol development and registration
10 Systematic review library Protocol development and registration
11 Contact us Protocol development and registration
12 Launch SyRF Protocol development and registration
13 Protocol development and registration
14 Protocol development and registration
15 Protocol development and registration
16 Protocol development and registration
17 Project Details Members Systematic searches Screening details Stages Delete project Protocol development and registration
18 Protocol development and registration
19
20 Protocol development and registration
21 Systematic search
22 Systematic search
23 Systematic search
24 Systematic search
25 Screen for inclusion
26 Screen for inclusion
27 Screening with the help of machine learning For studies with at least 500 hits can use machine learning to aid screening indicate that you want to enable machine learning assisted screening for your project NaCTeM created an API that supports this function Screen for inclusion
28 Meta-data annotation
29 Meta-data annotation
30 Meta-data annotation
31 Meta-data annotation
32 Automatic Annotation
33 True False False True True False True False True False False False False
34 Outcome data extraction
35 Outcome data extraction
36 Meta-analysis
37 Meta-analysis
38 Meta-analysis
39 Meta-analysis Launch Meta-Analysis App
40 Predicted time frame using SyRF Protocol development and registration ~ 1-2 weeks Systematic search ~ 1 week Screen for inclusion ~ 40 weeks.pdf retrieval ~ 80% in 1 day Meta-data annotation Outcome data extraction Meta-analysis Publication ~ 20 weeks ~ 20 weeks ~ 2 weeks ~ 12 weeks ~ 97 weeks 10,000 hit project
41 Predicted time frame using SyRF Protocol development and registration ~ 1-2 weeks ~ 1-2 weeks Systematic search ~ 1 week ~ 1 day Screen for inclusion.pdf retrieval ~ 40 weeks ~ 80% in 1 day ~ 12 weeks ~ 80% in 1 day Meta-data annotation Outcome data extraction Meta-analysis Publication ~ 20 weeks ~ 20 weeks ~ 2 weeks ~ 12 weeks ~ 97 weeks ~ 10 weeks ~ 16 weeks ~ 1 day ~ 12 weeks ~ 52 weeks
42 Protocol development and registration Systematic search Living search Screen for inclusion.pdf retrieval Meta-data annotation Outcome data extraction Meta-analysis Publication Living publication
43 SyRF Architecture
44 Future considerations for SyRF SyRF is a living system and can be adapted as new methods and tools are introduced Scalable Adaptable Future proof Sustainable
45 Tools under development Protocol development and registration Systematic search Duplicate removal tool Search filters for animal studies Screen for inclusion.pdf retrieval PDF retrieval Meta-data annotation Outcome data extraction Meta-analysis Publication Machine assisted data extraction Automatic link to publisher s website
46 Protocol development and registration Systematic search Screen for inclusion Living systematic search Duplicate removal tool Search filters for animal studies Machine Learning to aid Screening.pdf retrieval PDF retrieval Meta-data annotation Outcome data extraction Meta-analysis Automatic Annotation Machine assisted data extraction Data analysis app Publication Automatic link to publisher s website
47 Thank you CAMARADES group Protocol development and registration Emily Sena Malcolm Macleod Gillian Currie Sarah McCann Jing Liao Christopher Sena Paula Grill Kaitlyn Hair Qianying Wang Zsanett Bahor (PhD) Alexandra Bannach-Brown (PhD) Systematic search Screen for inclusion.pdf retrieval Meta-data annotation Outcome data extraction Meta-analysis Publication
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