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Can systematic reviews inform GMO risk assessment and risk management?

GND
1024181847
Zugehörigkeit
Julius Kühn-Institut (JKI), Federal Research Centre of Cultivated Plants, Institute for Biosafety in Plant Biotechnology, Quedlinburg , Deutschland
Kohl, Christian;
Zugehörigkeit
Southampton Health Technology Assessments Centre (SHTAC), Faculty of Medicine, University of Southampton, Southampton, UK
Frampton, Geoff;
Zugehörigkeit
weet Environmental Consultants, Cambridge, UK
Sweet, Jeremy;
Zugehörigkeit
Alpen-Adria Universität Klagenfurt-Wien Graz and IFZ-Inter-University Research Centre for Technology, Work and Culture, Graz, Austria
Spoek, Armin;
Zugehörigkeit
Mistra Council for Evidence-Based Environmental Management (EviEM), Royal Swedish Academy of Sciences, Stockholm, Sweden
Haddaway, Neal Robert;
GND
1058993402
Zugehörigkeit
Julius Kühn-Institut (JKI), Federal Research Centre of Cultivated Plants, Institute for Biosafety in Plant Biotechnology, Quedlinburg , Deutschland
Wilhelm, Ralf;
GND
1059464055
Zugehörigkeit
Julius Kühn-Institut (JKI), Federal Research Centre of Cultivated Plants, Data processing department (DP), Quedlinburg , Deutschland
Unger, Stefan;
GND
141232439
Zugehörigkeit
Julius Kühn-Institut (JKI), Federal Research Centre of Cultivated Plants, Institute for Biosafety in Plant Biotechnology, Quedlinburg , Deutschland
Schiemann, Joachim

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.

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