PreclinSR
Increasing clinical translation of experimental stroke research: new approaches to systematic review
Total Cost €
0EC-Contrib. €
0Partnership
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0PreclinSR project word cloud
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Project "PreclinSR" data sheet
The following table provides information about the project.
| Coordinator |
THE UNIVERSITY OF EDINBURGH
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Project website | http://www.camarades.info |
| Total cost | 183˙454 € |
| EC max contribution | 183˙454 € (100%) |
| Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
| Code Call | H2020-MSCA-IF-2015 |
| Funding Scheme | MSCA-IF-EF-ST |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-11-01 to 2018-10-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | THE UNIVERSITY OF EDINBURGH | UK (EDINBURGH) | coordinator | 183˙454.00 |
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Project objective
The translational paradigm of testing stroke treatments in animal models before proceeding to clinical trial has resulted in little success. A number of scientific practices likely contribute to this translational failure: Low study quality and bias in animal studies can cause overly or falsely positive results. Failure to publish outcomes contributes to an inaccurate body of knowledge and the wasteful duplication of experiments. Limited analysis of previous literature leads to weakly justified studies that may not investigate the most promising treatments. I aim to address these issues by developing new approaches to systematic review. Systematic review and meta-analysis are transparent, reproducible methods to objectively synthesise and interpret scientific evidence. They are routinely used in clinical research to support evidence-based healthcare decisions but remain underdeveloped and underutilised in preclinical research. Current systematic review methods provide a summary effect of treatments but do not adjust for the quality of evidence from different studies or the range of conditions where an intervention is effective. Additionally, while they are used to summarise data from different studies, they cannot present the comparative effectiveness of different treatments. I will develop sophisticated statistical techniques to address these drawbacks and analyse published literature describing animal models of stroke. I will be one of the first to adapt the powerful new method, network meta-analysis, to assess preclinical data. My results will inform drug selection for preclinical multicentre stroke trials and identify aspects of experimental design that contribute to biased research outcomes. Gaps in current knowledge will be identified, focussing animal experiments and reducing unjustified animal use and the duplication of studies into low potential areas. My new approach can be used for prioritising research in a broad range of biomedical fields.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
D.P. Archer, S.K. McCann, A.M. Walker, Z.A. Premji, K.J. Rogan, M.J.H. Hutton, L.J. Gray Neuroprotection by anaesthetics in rodent models of traumatic brain injury: a systematic review and network meta-analysis published pages: 1272-1281, ISSN: 0007-0912, DOI: 10.1016/j.bja.2018.07.024 |
British Journal of Anaesthesia 121/6 | 2019-05-09 |
| 2017 |
Saeed Sadigh-Eteghad, Alireza Majdi, Sarah K. McCann, Javad Mahmoudi, Manouchehr S. Vafaee, Malcolm R. Macleod D-galactose-induced brain ageing model: A systematic review and meta-analysis on cognitive outcomes and oxidative stress indices published pages: e0184122, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0184122 |
PLOS ONE 12/8 | 2019-05-09 |
| 2017 |
Zsanett Bahor, Jing Liao, Malcolm R. Macleod, Alexandra Bannach-Brown, Sarah K. McCann, Kimberley E. Wever, James Thomas, Thomas Ottavi, David W. Howells, Andrew Rice, Sophia Ananiadou, Emily Sena Risk of bias reporting in the recent animal focal cerebral ischaemia literature published pages: 2525-2532, ISSN: 0143-5221, DOI: 10.1042/cs20160722 |
Clinical Science 131/20 | 2019-05-09 |
| 2019 |
Manoj M. Lalu, Dean A. Fergusson, Wei Cheng, Marc T. Avey, Dale Corbett, Dar Dowlatshahi, Malcolm R. Macleod, Emily S. Sena, David Moher, Risa Shorr, Sarah K. McCann, Laura J. Gray, Michael D. Hill, Annette O\'Connor, Kristina Thayer, Fatima Haggar, Aditi Dobriyal, Hee Sahng Chung, Nicky J. Welton, Brian Hutton Identifying stroke therapeutics from preclinical models: A protocol for a novel application of network meta-analysis published pages: 11, ISSN: 2046-1402, DOI: 10.12688/f1000research.15869.1 |
F1000Research 8 | 2019-05-09 |
| 2018 |
Ye Liu, Emma D. Eaton, Taryn E. Wills, Sarah K. McCann, Ana Antonic, David W. Howells Human Ischaemic Cascade Studies Using SH-SY5Y Cells: a Systematic Review and Meta-Analysis published pages: 564-574, ISSN: 1868-4483, DOI: 10.1007/s12975-018-0620-4 |
Translational Stroke Research 9/6 | 2019-05-09 |
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