Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!

There is no doubt that prudence and risk aversion must guide public decisions when the associated adverse outcomes are either serious or irreversible. With any carcinogen, the levels of risk and needed protection before and after an event occurs, are determined by dose-response models. Regulatory la...

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Main Authors: Paolo F. Ricci, Ian R. Sammis
Format: Article
Language:English
Published: SAGE Publishing 2012-04-01
Series:Dose-Response
Online Access:https://doi.org/10.2203/dose-response.11-023.Sammis
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spelling doaj-fd1547e29ae247fdac0cb16bfef97c1a2020-11-25T02:58:08ZengSAGE PublishingDose-Response1559-32582012-04-011010.2203/dose-response.11-023.SammisRegulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!Paolo F. RicciIan R. SammisThere is no doubt that prudence and risk aversion must guide public decisions when the associated adverse outcomes are either serious or irreversible. With any carcinogen, the levels of risk and needed protection before and after an event occurs, are determined by dose-response models. Regulatory law should not crowd out the actual beneficial effects from low dose exposures—when demonstrable—that are inevitably lost when it adopts the linear non-threshold (LNT) as its causal model. Because regulating exposures requires planning and developing protective measures for future acute and chronic exposures, public management decisions should be based on minimizing costs and harmful exposures. We address the direct and indirect effects of causation when the danger consists of exposure to very low levels of carcinogens and toxicants. The societal consequences of a policy can be deleterious when that policy is based on a risk assumed by the LNT, in cases where low exposures are actually beneficial. Our work develops the science and the law of causal risk modeling: both are interwoven. We suggest how their relevant characteristics differ, but do not attempt to keep them separated; as we demonstrate, this union, however unsatisfactory, cannot be severed.https://doi.org/10.2203/dose-response.11-023.Sammis
collection DOAJ
language English
format Article
sources DOAJ
author Paolo F. Ricci
Ian R. Sammis
spellingShingle Paolo F. Ricci
Ian R. Sammis
Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
Dose-Response
author_facet Paolo F. Ricci
Ian R. Sammis
author_sort Paolo F. Ricci
title Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
title_short Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
title_full Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
title_fullStr Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
title_full_unstemmed Regulatory-Science: Biphasic Cancer Models The Lnt—Not Just A Matter of Biology!
title_sort regulatory-science: biphasic cancer models the lnt—not just a matter of biology!
publisher SAGE Publishing
series Dose-Response
issn 1559-3258
publishDate 2012-04-01
description There is no doubt that prudence and risk aversion must guide public decisions when the associated adverse outcomes are either serious or irreversible. With any carcinogen, the levels of risk and needed protection before and after an event occurs, are determined by dose-response models. Regulatory law should not crowd out the actual beneficial effects from low dose exposures—when demonstrable—that are inevitably lost when it adopts the linear non-threshold (LNT) as its causal model. Because regulating exposures requires planning and developing protective measures for future acute and chronic exposures, public management decisions should be based on minimizing costs and harmful exposures. We address the direct and indirect effects of causation when the danger consists of exposure to very low levels of carcinogens and toxicants. The societal consequences of a policy can be deleterious when that policy is based on a risk assumed by the LNT, in cases where low exposures are actually beneficial. Our work develops the science and the law of causal risk modeling: both are interwoven. We suggest how their relevant characteristics differ, but do not attempt to keep them separated; as we demonstrate, this union, however unsatisfactory, cannot be severed.
url https://doi.org/10.2203/dose-response.11-023.Sammis
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