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Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology

A systematic review (SR) provides the best and most objective analysis of the existing evidence in a particular field. SRs and derived conclusions are essential for evidence-based strategies in medicine and evidence-based guidelines in clinical practice. The popularity of SRs has also increased mark...

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Autores principales: Kim, Gaeun, Cho, Youn Zoo, Baik, Soon Koo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of Gut and Liver 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625697/
https://www.ncbi.nlm.nih.gov/pubmed/26503570
http://dx.doi.org/10.5009/gnl14451
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author Kim, Gaeun
Cho, Youn Zoo
Baik, Soon Koo
author_facet Kim, Gaeun
Cho, Youn Zoo
Baik, Soon Koo
author_sort Kim, Gaeun
collection PubMed
description A systematic review (SR) provides the best and most objective analysis of the existing evidence in a particular field. SRs and derived conclusions are essential for evidence-based strategies in medicine and evidence-based guidelines in clinical practice. The popularity of SRs has also increased markedly in the field of hepatology. However, although SRs are considered to provide a higher level of evidence with greater confidence than original articles, there have been no reports on the quality of SRs and meta-analyses (MAs) in the field of hepatology. Therefore, we performed a quality assessment of 225 SRs and MAs that were recently published in the field of hepatology (January 2011 to September 2014) using A MeaSurement Tool to Assess systematic Reviews (AMSTAR). Using AMSTAR, we revealed both a shortage of assessments of the scientific quality of individual studies and a publication bias in many SRs and MAs. This review addresses the concern that SRs and MAs need to be conducted in a stricter and more objective manner to minimize bias and random errors. Thus, SRs and MAs should be supported by a multi-disciplinary approach that includes clinical experts, methodologists, and statisticians.
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spelling pubmed-46256972015-11-01 Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology Kim, Gaeun Cho, Youn Zoo Baik, Soon Koo Gut Liver Review A systematic review (SR) provides the best and most objective analysis of the existing evidence in a particular field. SRs and derived conclusions are essential for evidence-based strategies in medicine and evidence-based guidelines in clinical practice. The popularity of SRs has also increased markedly in the field of hepatology. However, although SRs are considered to provide a higher level of evidence with greater confidence than original articles, there have been no reports on the quality of SRs and meta-analyses (MAs) in the field of hepatology. Therefore, we performed a quality assessment of 225 SRs and MAs that were recently published in the field of hepatology (January 2011 to September 2014) using A MeaSurement Tool to Assess systematic Reviews (AMSTAR). Using AMSTAR, we revealed both a shortage of assessments of the scientific quality of individual studies and a publication bias in many SRs and MAs. This review addresses the concern that SRs and MAs need to be conducted in a stricter and more objective manner to minimize bias and random errors. Thus, SRs and MAs should be supported by a multi-disciplinary approach that includes clinical experts, methodologists, and statisticians. Editorial Office of Gut and Liver 2015-11 2015-11-01 /pmc/articles/PMC4625697/ /pubmed/26503570 http://dx.doi.org/10.5009/gnl14451 Text en Copyright © 2015 by The Korean Society of Gastroenterology, the Korean Society of Gastrointestinal Endoscopy, the Korean Society of Neurogastroenterology and Motility, Korean College of Helicobacter and Upper Gastrointestinal Research, Korean Association the Study of Intestinal Diseases, the Korean Association for the Study of the Liver, Korean Pancreatobiliary Association, and Korean Society of Gastrointestinal Cancer. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Kim, Gaeun
Cho, Youn Zoo
Baik, Soon Koo
Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title_full Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title_fullStr Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title_full_unstemmed Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title_short Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology
title_sort assessment for risk of bias in systematic reviews and meta-analyses in the field of hepatology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625697/
https://www.ncbi.nlm.nih.gov/pubmed/26503570
http://dx.doi.org/10.5009/gnl14451
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