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Meta-evaluation of meta-analysis: ten appraisal questions for biologists

Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation...

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Detalles Bibliográficos
Autores principales: Nakagawa, Shinichi, Noble, Daniel W. A., Senior, Alistair M., Lagisz, Malgorzata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336618/
https://www.ncbi.nlm.nih.gov/pubmed/28257642
http://dx.doi.org/10.1186/s12915-017-0357-7
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author Nakagawa, Shinichi
Noble, Daniel W. A.
Senior, Alistair M.
Lagisz, Malgorzata
author_facet Nakagawa, Shinichi
Noble, Daniel W. A.
Senior, Alistair M.
Lagisz, Malgorzata
author_sort Nakagawa, Shinichi
collection PubMed
description Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term ‘biological’ meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies ‘mega-enlightenment’, a ‘mega-mistake’, or something in between.
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spelling pubmed-53366182017-03-07 Meta-evaluation of meta-analysis: ten appraisal questions for biologists Nakagawa, Shinichi Noble, Daniel W. A. Senior, Alistair M. Lagisz, Malgorzata BMC Biol Review Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term ‘biological’ meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies ‘mega-enlightenment’, a ‘mega-mistake’, or something in between. BioMed Central 2017-03-03 /pmc/articles/PMC5336618/ /pubmed/28257642 http://dx.doi.org/10.1186/s12915-017-0357-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Nakagawa, Shinichi
Noble, Daniel W. A.
Senior, Alistair M.
Lagisz, Malgorzata
Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title_full Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title_fullStr Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title_full_unstemmed Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title_short Meta-evaluation of meta-analysis: ten appraisal questions for biologists
title_sort meta-evaluation of meta-analysis: ten appraisal questions for biologists
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336618/
https://www.ncbi.nlm.nih.gov/pubmed/28257642
http://dx.doi.org/10.1186/s12915-017-0357-7
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