Guidance on the use of the benchmark dose approach in risk assessment
Guidance on the use of the benchmark dose approach in risk assessment
About this item
Full title
Author / Creator
More, Simon John , Bampidis, Vasileios , Benford, Diane , Bragard, Claude , Halldorsson, Thorhallur Ingi , Hernández‐Jerez, Antonio F , Bennekou, Susanne Hougaard , Koutsoumanis, Kostas , Lambré, Claude , Machera, Kyriaki , Mennes, Wim , Mullins, Ewen , Nielsen, Søren Saxmose , Schrenk, Dieter , Turck, Dominique , Younes, Maged , Aerts, Marc , Edler, Lutz , Sand, Salomon , Wright, Matthew , Binaglia, Marco , Bottex, Bernard , Abrahantes, Jose Cortiñas , Schlatter, Josef and EFSA Scientific Committee
Publisher
Hoboken: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
The Scientific Committee (SC) reconfirms that the benchmark dose (BMD) approach is a scientifically more advanced method compared to the no‐observed‐adverse‐effect‐level (NOAEL) approach for deriving a Reference Point (RP). The major change compared to the previous Guidance (EFSA SC, 2017) concerns the Section 2.5, in which a change from the frequentist to the Bayesian paradigm is recommended. In the former, uncertainty about the unknown parameters is measured by confidence and significance levels, interpreted and calibrated under hypothetical repetition, while probability distributions are attached to the unknown parameters in the Bayesian approach, and the notion of probability is extended to reflect uncertainty of knowledge. In addition, the Bayesian approach can mimic a learning process and reflects the accumulation of knowledge over time. Model averaging is again recommended as the preferred method for estimating the BMD and calculating its credible interval. The set of default models to be used for BMD analysis has been reviewed and amended so that there is now a single set of models for quantal and continuous data. The flow chart guiding the reader step‐by‐step when performing a BMD analysis has also been updated, and a chapter comparing the frequentist to the Bayesian paradigm inserted. Also, when using Bayesian BMD modelling, the lower bound (BMDL) is to be considered as potential RP, and the upper bound (BMDU) is needed for establishing the BMDU/BMDL ratio reflecting the uncertainty in the BMD estimate. This updated guidance does not call for a general re‐evaluation of previous assessments where the NOAEL approach or the BMD approach as described in the 2009 or 2017 Guidance was used, in particular when the exposure is clearly lower (e.g. more than one order of magnitude) than the health‐based guidance value. Finally, the SC firmly reiterates to reconsider test guidelines given the wide application of the BMD approach.
This publication is linked to the following EFSA Supporting Publications article: http://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2022.EN-7585/full...
Alternative Titles
Full title
Guidance on the use of the benchmark dose approach in risk assessment
Authors, Artists and Contributors
Author / Creator
Bampidis, Vasileios
Benford, Diane
Bragard, Claude
Halldorsson, Thorhallur Ingi
Hernández‐Jerez, Antonio F
Bennekou, Susanne Hougaard
Koutsoumanis, Kostas
Lambré, Claude
Machera, Kyriaki
Mennes, Wim
Mullins, Ewen
Nielsen, Søren Saxmose
Schrenk, Dieter
Turck, Dominique
Younes, Maged
Aerts, Marc
Edler, Lutz
Sand, Salomon
Wright, Matthew
Binaglia, Marco
Bottex, Bernard
Abrahantes, Jose Cortiñas
Schlatter, Josef
EFSA Scientific Committee
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_417581485b5d450ba77dc424c9d11004
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_417581485b5d450ba77dc424c9d11004
Other Identifiers
ISSN
1831-4732
E-ISSN
1831-4732
DOI
10.2903/j.efsa.2022.7584