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dc.contributor.authorBahor, Z
dc.contributor.authorLiao, J
dc.contributor.authorMacleod, MR
dc.contributor.authorBannach-Brown, A
dc.contributor.authorMcCann, SK
dc.contributor.authorWever, KE
dc.contributor.authorThomas, J
dc.contributor.authorOttavi, T
dc.contributor.authorHowells, DW
dc.contributor.authorRice, A
dc.contributor.authorAnaniadou, S
dc.contributor.authorSena, E
dc.date.accessioned2020-12-21T03:43:03Z
dc.date.available2020-12-21T03:43:03Z
dc.date.issued2017-10-15
dc.identifierpii: CS20160722
dc.identifier.citationBahor, Z., Liao, J., Macleod, M. R., Bannach-Brown, A., McCann, S. K., Wever, K. E., Thomas, J., Ottavi, T., Howells, D. W., Rice, A., Ananiadou, S. & Sena, E. (2017). Risk of bias reporting in the recent animal focal cerebral ischaemia literature.. Clin Sci (Lond), 131 (20), pp.2525-2532. https://doi.org/10.1042/CS20160722.
dc.identifier.issn0143-5221
dc.identifier.urihttp://hdl.handle.net/11343/257323
dc.description.abstractBACKGROUND: 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. METHODS: We developed and used text analytic approaches to automatically ascertain reporting of measures to reduce risk of bias from full-text articles describing animal experiments inducing middle cerebral artery occlusion (MCAO) or modelling lacunar stroke. RESULTS: Compared with previous assessments, there were improvements in the reporting of measures taken to reduce risks of bias in the MCAO literature but not in the lacunar stroke literature. Accuracy of automated annotation of risk of bias in the MCAO literature was 86% (randomization), 94% (blinding) and 100% (sample size calculation); and in the lacunar stroke literature accuracy was 67% (randomization), 91% (blinding) and 96% (sample size calculation). DISCUSSION: There remains substantial opportunity for improvement in the reporting of animal research modelling stroke, particularly in the lacunar stroke literature. Further, automated tools perform sufficiently well to identify whether studies report blinded assessment of outcome, but improvements are required in the tools to ascertain whether randomization and a sample size calculation were reported.
dc.languageeng
dc.publisherPortland Press Ltd.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleRisk of bias reporting in the recent animal focal cerebral ischaemia literature.
dc.typeJournal Article
dc.identifier.doi10.1042/CS20160722
melbourne.affiliation.departmentMedicine (Austin & Northern Health)
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titleClinical Science
melbourne.source.volume131
melbourne.source.issue20
melbourne.source.pages2525-2532
dc.rights.licenseCC BY
melbourne.elementsid1269566
melbourne.openaccess.pmchttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869854
melbourne.contributor.authorHowells, David
dc.identifier.eissn1470-8736
melbourne.accessrightsOpen Access


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