Risk of bias reporting in the recent animal focal cerebral ischaemia literature | Zendy

Zsanett Bahor | Zendy; Jing Liao | Zendy; Malcolm Macleod | Zendy; Alexandra BannachBrown | Zendy; Sarah K. McCann | Zendy; Kimberley E. Wever | Zendy; James Thomas | Zendy; Thomas Ottavi | Zendy; David W. Howells | Zendy; Andrew P. Rice | Zendy; Sophia Ananiadou | Zendy; Emily S. Sena | Zendy

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Risk of bias reporting in the recent animal focal cerebral ischaemia literature

Author(s) -

Zsanett Bahor,

Jing Liao,

Malcolm Macleod,

Alexandra BannachBrown,

Sarah K. McCann,

Kimberley E. Wever,

James Thomas,

Thomas Ottavi,

David W. Howells,

Andrew P. Rice,

Sophia Ananiadou,

Emily S. Sena

Publication year - 2017

Publication title -

clinical science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.91

H-Index - 138

eISSN - 1470-8736

pISSN - 0143-5221

DOI - 10.1042/cs20160722

Subject(s) - blinding , sample size determination , stroke (engine) , medicine , randomization , selection bias , publication bias , meta analysis , clinical study design , sample (material) , clinical trial , statistics , pathology , chromatography , engineering , mechanical engineering , chemistry , mathematics

Findings from in vivo research may be less reliable where studies do not report measures to reduce risks of bias. The experimental stroke community has been at the forefront of implementing changes to improve reporting, but it is not known whether these efforts are associated with continuous improvements. Our aims here were firstly to validate an automated tool to assess risks of bias in published works, and secondly to assess the reporting of measures taken to reduce the risk of bias within recent literature for two experimental models of stroke.

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