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Can Systematic Reviews Inform GMO Risk Assessment and Risk Management?
Systematic reviews represent powerful tools to identify, collect, synthesize, and evaluate primary research data on specific research questions in a highly standardized and reproducible manner. They enable the defensible synthesis of outcomes by increasing precision and minimizing bias whilst ensuri...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533014/ https://www.ncbi.nlm.nih.gov/pubmed/26322307 http://dx.doi.org/10.3389/fbioe.2015.00113 |
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author | Kohl, Christian Frampton, Geoff Sweet, Jeremy Spök, Armin Haddaway, Neal Robert Wilhelm, Ralf Unger, Stefan Schiemann, Joachim |
author_facet | Kohl, Christian Frampton, Geoff Sweet, Jeremy Spök, Armin Haddaway, Neal Robert Wilhelm, Ralf Unger, Stefan Schiemann, Joachim |
author_sort | Kohl, Christian |
collection | PubMed |
description | Systematic reviews represent powerful tools to identify, collect, synthesize, and evaluate primary research data on specific research questions in a highly standardized and reproducible manner. They enable the defensible synthesis of outcomes by increasing precision and minimizing bias whilst ensuring transparency of the methods used. This makes them especially valuable to inform evidence-based risk analysis and decision making in various topics and research disciplines. Although seen as a “gold standard” for synthesizing primary research data, systematic reviews are not without limitations as they are often cost, labor and time intensive and the utility of synthesis outcomes depends upon the availability of sufficient and robust primary research data. In this paper, we (1) consider the added value systematic reviews could provide when synthesizing primary research data on genetically modified organisms (GMO) and (2) critically assess the adequacy and feasibility of systematic review for collating and analyzing data on potential impacts of GMOs in order to better inform specific steps within GMO risk assessment and risk management. The regulatory framework of the EU is used as an example, although the issues we discuss are likely to be more widely applicable. |
format | Online Article Text |
id | pubmed-4533014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45330142015-08-28 Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? Kohl, Christian Frampton, Geoff Sweet, Jeremy Spök, Armin Haddaway, Neal Robert Wilhelm, Ralf Unger, Stefan Schiemann, Joachim Front Bioeng Biotechnol Bioengineering and Biotechnology Systematic reviews represent powerful tools to identify, collect, synthesize, and evaluate primary research data on specific research questions in a highly standardized and reproducible manner. They enable the defensible synthesis of outcomes by increasing precision and minimizing bias whilst ensuring transparency of the methods used. This makes them especially valuable to inform evidence-based risk analysis and decision making in various topics and research disciplines. Although seen as a “gold standard” for synthesizing primary research data, systematic reviews are not without limitations as they are often cost, labor and time intensive and the utility of synthesis outcomes depends upon the availability of sufficient and robust primary research data. In this paper, we (1) consider the added value systematic reviews could provide when synthesizing primary research data on genetically modified organisms (GMO) and (2) critically assess the adequacy and feasibility of systematic review for collating and analyzing data on potential impacts of GMOs in order to better inform specific steps within GMO risk assessment and risk management. The regulatory framework of the EU is used as an example, although the issues we discuss are likely to be more widely applicable. Frontiers Media S.A. 2015-08-12 /pmc/articles/PMC4533014/ /pubmed/26322307 http://dx.doi.org/10.3389/fbioe.2015.00113 Text en Copyright © 2015 Kohl, Frampton, Sweet, Spök, Haddaway, Wilhelm, Unger and Schiemann. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Kohl, Christian Frampton, Geoff Sweet, Jeremy Spök, Armin Haddaway, Neal Robert Wilhelm, Ralf Unger, Stefan Schiemann, Joachim Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title | Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title_full | Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title_fullStr | Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title_full_unstemmed | Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title_short | Can Systematic Reviews Inform GMO Risk Assessment and Risk Management? |
title_sort | can systematic reviews inform gmo risk assessment and risk management? |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533014/ https://www.ncbi.nlm.nih.gov/pubmed/26322307 http://dx.doi.org/10.3389/fbioe.2015.00113 |
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