@article{2871,
  keywords = {Animal Testing Alternatives, Animals, Humans, Risk Assessment, Uncertainty, chemical risk assessment, evidence-based methodology, evidence-based toxicology, Systematic review, Uncertainty},
  author = {Sebastian Hoffmann and Paul Whaley and Katya Tsaioun},
  title = {How evidence-based methodologies can help identify and reduce uncertainty in chemical risk assessment},
  abstract = {Evidence-based methodology, in particular systematic review, is increasingly being applied in environmental, public, and occupational health to increase the transparency, comprehensiveness, and objectivity of the processes by which existing evidence is gathered, assessed, and synthesized in answering research questions. This development is also changing risk assessment practices and will impact the assessment of uncertainties in the evidence for risks to human health that are posed by exposure to chemicals. The potential of evidence-based methodology for characterizing uncertainties in risk assessment has been widely recognized, while its contribution to uncertainty reduction is yet to be fully elucidated. We therefore present some key aspects of the evidence-based approach to risk assessment, showing how they can contribute to the identification and the assessment of uncertainties. We focus on the pre-specification of an assessment method­ology in a protocol, comprehensive search strategies, study selection using predefined eligibility criteria, critical appraisal of individual studies, and an evidence integration and uncertainty characterization process based on certainty of evi­dence frameworks that are well-established in health care research. We also provide examples of uncertainty in risk assessment and discuss how evidence-based methodology could address those. This perspective, which neither claims to be comprehensive nor complete, is intended to stimulate discussion of the topic and to motivate detailed exploration of how evidence-based methodology contributes to characterization of uncertainties, and how it will lead to uncertainty reduction in the conduct of health risk assessment.},
  year = {2022},
  journal = {ALTEX},
  volume = {39},
  pages = {175-182},
  month = {2022},
  issn = {1868-8551},
  doi = {10.14573/altex.2201131},
  language = {eng},
}