ArticleEFSA journal. European Food Safety Authority2019
Using problem formulation for fit-for-purpose pre-market environmental risk assessments of regulated stressors.
Article in EFSA journal. European Food Safety Authority, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Governance Perspectives on Genetically Modified Animals for Agriculture and Aquaculture: Challenges for the Assessment of Environmental Risks and Broader Societal Concerns.Animals : an open access journal from MDPI · 2025Review
- New developments in biotechnology applied to animals: An assessment of the adequacy and sufficiency of current EFSA guidance for animal risk assessment.EFSA journal. European Food Safety Authority · 2025Article
- Environmental Applications of GM Microorganisms: Tiny Critters Posing Huge Challenges for Risk Assessment and Governance.International journal of molecular sciences · 2025Review
- A problem formulation framework for the application of in silico toxicology methods in chemical risk assessment.Archives of toxicology · 2024Article
- Conceptual risk assessment of mosquito population modification gene-drive systems to control malaria transmission: preliminary hazards list workshops.Frontiers in bioengineering and biotechnology · 2023Article
- Recommendations for environmental risk assessment of gene drive applications for malaria vector control.Malaria journal · 2022Article
- Open Science in regulatory environmental risk assessment.Integrated environmental assessment and management · 2021Article
- A Simplified Population-Level Landscape Model Identifying Ecological Risk Drivers of Pesticide Applications, Part One: Case Study for Large Herbivorous Mammals.International journal of environmental research and public health · 2021Article
- Article
- Adequacy and sufficiency evaluation of existing EFSA guidelines for the molecular characterisation, environmental risk assessment and post-market environmental monitoring of genetically modified insects containing engineered gene drives.EFSA journal. European Food Safety Authority · 2020Article
- Spatiotemporal Controllability and Environmental Risk Assessment of Genetically Engineered Gene Drive Organisms from the Perspective of European Union Genetically Modified Organism Regulation.Integrated environmental assessment and management · 2020Review
- Assessing the Risks of Topically Applied dsRNA-Based Products to Non-target Arthropods.Frontiers in plant science · 2020Article
- Risk Assessment Considerations for Genetically Modified RNAi Plants: EFSA's Activities and Perspective.Frontiers in plant science · 2020Review
- Using problem formulation for fit-for-purpose pre-market environmental risk assessments of regulated stressors.EFSA journal. European Food Safety Authority · 2019Article
- Editorial: Special Issue on EFSA's third Scientific Conference 'Science, Food, Society'.EFSA journal. European Food Safety Authority · 2019Article
- Managing evidence in food safety and nutrition.EFSA journal. European Food Safety Authority · 2019Article
- Conducting fit-for-purpose food safety risk assessments.EFSA journal. European Food Safety Authority · 2019Article
- EFSA's third Scientific Conference 'Science, Food, Society': concluding remarks.EFSA journal. European Food Safety Authority · 2019Article
Corrections and comments
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Pre-market/prospective environmental risk assessments (ERAs) contribute to risk analyses performed to facilitate decisions about the market introduction of regulated stressors. Robust ERAs begin with an explicit problem formulation, which involves among other steps: (1) formally devising plausible pathways to harm that describe how the deployment of a regulated stressor could be harmful; (2) formulating risk hypotheses about the likelihood and severity of such events; (3) identifying the information that will be useful to test the risk hypotheses; and (4) developing a plan to acquire new data for hypothesis testing should tests with existing information be insufficient for decision-making. Here, we apply problem formulation to the assessment of possible adverse effects of RNA interference-based insecticidal genetically modified (GM) plants, GM growth hormone coho salmon, gene drive-modified mosquitoes and classical biological weed control agents on non-target organisms in a prospective manner, and of neonicotinoid insecticides on bees in a retrospective manner. In addition, specific considerations for the problem formulation for the ERA of nanomaterials and for landscape-scale population-level ERAs are given. We argue that applying problem formulation to ERA maximises the usefulness of ERA studies for decision-making, through an iterative process, because: (1) harm is defined explicitly from the start; (2) the construction of risk hypotheses is guided by policy rather than an exhaustive attempt to address any possible differences; (3) existing information is used effectively; (4) new data are collected with a clear purpose; (5) risk is characterised against well-defined criteria of hypothesis corroboration or falsification; and (6) risk assessment conclusions can be communicated clearly. However, problem formulation is still often hindered by the absence of clear policy goals and decision-making criteria (e.g. definition of protection goals and what constitutes harm) that are needed to guide the interpretation of scientific information. We therefore advocate further dialogue between risk assessors and risk managers to clarify how ERAs can address policy goals and decision-making criteria. Ideally, this dialogue should take place for all classes of regulated stressors, as this can promote alignment and consistency on the desired level of protection and maximum tolerable impacts across regulated stressors.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.