Literature DB >> 24099992

Meta-analysis of data from animal studies: a practical guide.

H M Vesterinen1, E S Sena, K J Egan, T C Hirst, L Churolov, G L Currie, A Antonic, D W Howells, M R Macleod.   

Abstract

Meta-analyses of data from human studies are invaluable resources in the life sciences and the methods to conduct these are well documented. Similarly there are a number of benefits in conducting meta-analyses on data from animal studies; they can be used to inform clinical trial design, or to try and explain discrepancies between preclinical and clinical trial results. However there are inherit differences between animal and human studies and so applying the same techniques for the meta-analysis of preclinical data is not straightforward. For example preclinical studies are frequently small and there is often substantial heterogeneity between studies. This may have an impact on both the method of calculating an effect size and the method of pooling data. Here we describe a practical guide for the meta-analysis of data from animal studies including methods used to explore sources of heterogeneity.
Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal studies; Heterogeneity; Meta-analysis; Meta-regression; Stratified meta-analysis

Mesh:

Year:  2013        PMID: 24099992     DOI: 10.1016/j.jneumeth.2013.09.010

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  154 in total

1.  The use of systematic reviews and reporting guidelines to advance the implementation of the 3Rs.

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2.  Outcome heterogeneity and bias in acute experimental spinal cord injury: A meta-analysis.

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Journal:  Neurology       Date:  2019-06-07       Impact factor: 9.910

Review 3.  Still cooling after all these years: Meta-analysis of pre-clinical trials of therapeutic hypothermia for acute ischemic stroke.

Authors:  Oana M Dumitrascu; Jessica Lamb; Patrick D Lyden
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Review 4.  Seeding cell approach for tissue-engineered urethral reconstruction in animal study: A systematic review and meta-analysis.

Authors:  Jing-Dong Xue; Jing Gao; Qiang Fu; Chao Feng; Hong Xie
Journal:  Exp Biol Med (Maywood)       Date:  2016-03-27

5.  Central Nervous System Electrical Stimulation for Neuroprotection in Acute Cerebral Ischemia: Meta-Analysis of Preclinical Studies.

Authors:  Mersedeh Bahr Hosseini; Jesse Hou; Marom Bikson; Marco Iacoboni; Jeffrey Gornbein; Jeffrey L Saver
Journal:  Stroke       Date:  2019-09-04       Impact factor: 7.914

6.  Relationship between cadmium content in semen and male infertility: a meta-analysis.

Authors:  Yiming Zhang; Shiping Li; Shu Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

7.  Importance of Systematic Reviews and Meta-analyses of Animal Studies: Challenges for Animal-to-Human Translation.

Authors:  Zahra Bahadoran; Parvin Mirmiran; Khosrow Kashfi; Asghar Ghasemi
Journal:  J Am Assoc Lab Anim Sci       Date:  2020-07-29       Impact factor: 1.232

8.  Reliability of infarct volumetry: Its relevance and the improvement by a software-assisted approach.

Authors:  Felix Friedländer; Ferdinand Bohmann; Max Brunkhorst; Ju-Hee Chae; Kavi Devraj; Yvette Köhler; Peter Kraft; Hannah Kuhn; Alexandra Lucaciu; Sebastian Luger; Waltraud Pfeilschifter; Rebecca Sadler; Arthur Liesz; Karolina Scholtyschik; Leonie Stolz; Rajkumar Vutukuri; Robert Brunkhorst
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 9.  Meta-Analysis of Pre-Clinical Trials of Therapeutic Hypothermia for Intracerebral Hemorrhage.

Authors:  Kara R Melmed; Patrick D Lyden
Journal:  Ther Hypothermia Temp Manag       Date:  2016-12-01       Impact factor: 1.286

Review 10.  Effect of uric acid in animal models of ischemic stroke: A systematic review and meta-analysis.

Authors:  Alicia Aliena-Valero; Júlia Baixauli-Martín; María Castelló-Ruiz; Germán Torregrosa; David Hervás; Juan B Salom
Journal:  J Cereb Blood Flow Metab       Date:  2020-11-19       Impact factor: 6.200

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