Risk of bias reporting in the recent animal focal cerebral ischaemia literature.
Identifieur interne : 005024 ( Ncbi/Curation ); précédent : 005023; suivant : 005025Risk of bias reporting in the recent animal focal cerebral ischaemia literature.
Auteurs : Zsanett Bahor [Royaume-Uni] ; Jing Liao [Royaume-Uni] ; Malcolm R. Macleod [Royaume-Uni] ; Alexandra Bannach-Brown [Royaume-Uni] ; Sarah K. Mccann [Royaume-Uni] ; Kimberley E. Wever [Pays-Bas] ; James Thomas [Royaume-Uni] ; Thomas Ottavi [Australie] ; David W. Howells [Australie] ; Andrew Rice [Royaume-Uni] ; Sophia Ananiadou [Royaume-Uni] ; Emily Sena [Royaume-Uni]Source :
- Clinical science (London, England : 1979) [ 1470-8736 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- complications : Brain Ischemia, Infarction, Middle Cerebral Artery, Stroke.
- Animals, Bias (Epidemiology), Disease Models, Animal, Humans, Risk.
Abstract
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.
DOI: 10.1042/CS20160722
PubMed: 29026002
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pubmed:29026002Le document en format XML
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<series><title level="j">Clinical science (London, England : 1979)</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
<term>Bias (Epidemiology)</term>
<term>Brain Ischemia (complications)</term>
<term>Disease Models, Animal</term>
<term>Humans</term>
<term>Infarction, Middle Cerebral Artery (complications)</term>
<term>Risk</term>
<term>Stroke (complications)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Accident vasculaire cérébral ()</term>
<term>Animaux</term>
<term>Biais (épidémiologie)</term>
<term>Encéphalopathie ischémique ()</term>
<term>Humains</term>
<term>Infarctus du territoire de l'artère cérébrale moyenne ()</term>
<term>Modèles animaux de maladie humaine</term>
<term>Risque</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Brain Ischemia</term>
<term>Infarction, Middle Cerebral Artery</term>
<term>Stroke</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Bias (Epidemiology)</term>
<term>Disease Models, Animal</term>
<term>Humans</term>
<term>Risk</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Accident vasculaire cérébral</term>
<term>Animaux</term>
<term>Biais (épidémiologie)</term>
<term>Encéphalopathie ischémique</term>
<term>Humains</term>
<term>Infarctus du territoire de l'artère cérébrale moyenne</term>
<term>Modèles animaux de maladie humaine</term>
<term>Risque</term>
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<front><div type="abstract" xml:lang="en">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.</div>
</front>
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