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The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT
This article strongly supports the Environmental Protection Agency proposal to make significant changes in their cancer risk assessment principles and practices by moving away from the use of the linear nonthreshold (LNT) dose–response as the default model. An alternate approach is proposed based on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088500/ https://www.ncbi.nlm.nih.gov/pubmed/30116166 http://dx.doi.org/10.1177/1559325818789840 |
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author | Calabrese, Edward J. Hanekamp, Jaap C. Shamoun, Dima Yazji |
author_facet | Calabrese, Edward J. Hanekamp, Jaap C. Shamoun, Dima Yazji |
author_sort | Calabrese, Edward J. |
collection | PubMed |
description | This article strongly supports the Environmental Protection Agency proposal to make significant changes in their cancer risk assessment principles and practices by moving away from the use of the linear nonthreshold (LNT) dose–response as the default model. An alternate approach is proposed based on model uncertainty which integrates the most scientifically supportable features of the threshold, hormesis, and LNT models to identify the doses that optimize population-based responses (ie, maximize health benefits/minimize health harm). This novel approach for cancer risk assessment represents a significant improvement to the current LNT default method from scientific and public health perspectives. |
format | Online Article Text |
id | pubmed-6088500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60885002018-08-16 The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT Calabrese, Edward J. Hanekamp, Jaap C. Shamoun, Dima Yazji Dose Response Commentary This article strongly supports the Environmental Protection Agency proposal to make significant changes in their cancer risk assessment principles and practices by moving away from the use of the linear nonthreshold (LNT) dose–response as the default model. An alternate approach is proposed based on model uncertainty which integrates the most scientifically supportable features of the threshold, hormesis, and LNT models to identify the doses that optimize population-based responses (ie, maximize health benefits/minimize health harm). This novel approach for cancer risk assessment represents a significant improvement to the current LNT default method from scientific and public health perspectives. SAGE Publications 2018-08-09 /pmc/articles/PMC6088500/ /pubmed/30116166 http://dx.doi.org/10.1177/1559325818789840 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Commentary Calabrese, Edward J. Hanekamp, Jaap C. Shamoun, Dima Yazji The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title | The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title_full | The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title_fullStr | The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title_full_unstemmed | The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title_short | The EPA Cancer Risk Assessment Default Model Proposal: Moving Away From the LNT |
title_sort | epa cancer risk assessment default model proposal: moving away from the lnt |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088500/ https://www.ncbi.nlm.nih.gov/pubmed/30116166 http://dx.doi.org/10.1177/1559325818789840 |
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