Literature DB >> 19330103

Practical implications of nonlinear effects in risk-assessment harmonization.

John A Bukowski1, R Jeffrey Lewis.   

Abstract

Cancer and noncancer health effects have traditionally been handled differently in quantitative risk assessment. A threshold (i.e., safe exposure) has been assumed for noncancer health effects, and low-dose linearity without a threshold has been assumed for cancer. "Harmonization" attempts to reconcile these contrasting assumptions under one paradigm. Recent regulatory initiatives suggest that the U.S. Environmental Protection Agency may be leaning toward a harmonized, probabilistic/linear approach for noncancer health effects. Proponents of this approach cite variability in human susceptibility as an argument against thresholds (i.e., some individuals may be exquisitely sensitive at exposures well below threshold levels). They also cite the results of epidemiological models that suggest low-dose linearity for noncancer health effects. We will discuss the implications of these arguments and compare them to what is known about human biological variability in general. We will also touch on the regulatory implications of hormesis within this framework.

Entities:  

Keywords:  harmonization; nonlinearity; risk assessment

Year:  2004        PMID: 19330103      PMCID: PMC2647819          DOI: 10.1080/15401420490426927

Source DB:  PubMed          Journal:  Nonlinearity Biol Toxicol Med        ISSN: 1540-1421


  9 in total

1.  1999 Warkany lecture: improving the science for predicting risks to children's health.

Authors:  C A Kimmel
Journal:  Teratology       Date:  2001-05

Review 2.  Hormesis and health: a little of what you fancy may be good for you.

Authors:  J A Bukowski; R J Lewis
Journal:  South Med J       Date:  2000-04       Impact factor: 0.954

3.  Toxicology rethinks its central belief.

Authors:  Edward J Calabrese; Linda A Baldwin
Journal:  Nature       Date:  2003-02-13       Impact factor: 49.962

Review 4.  Hormesis: the dose-response revolution.

Authors:  Edward J Calabrese; Linda A Baldwin
Journal:  Annu Rev Pharmacol Toxicol       Date:  2002-01-10       Impact factor: 13.820

5.  Time series analyses of air pollution and health: straining at gnats and swallowing camels?

Authors:  Thomas Lumley; Lianne Sheppard
Journal:  Epidemiology       Date:  2003-01       Impact factor: 4.822

6.  Do low levels of lead produce IQ loss in children? A careful examination of the literature.

Authors:  A S Kaufman
Journal:  Arch Clin Neuropsychol       Date:  2001-05       Impact factor: 2.813

7.  The interpretation of epidemiologic studies.

Authors:  M Angell
Journal:  N Engl J Med       Date:  1990-09-20       Impact factor: 91.245

8.  Meta-analysis/Shmeta-analysis.

Authors:  S Shapiro
Journal:  Am J Epidemiol       Date:  1994-11-01       Impact factor: 4.897

Review 9.  Harmonization of cancer and noncancer risk assessment: proceedings of a consensus-building workshop.

Authors:  M S Bogdanffy; G Daston; E M Faustman; C A Kimmel; G L Kimmel; J Seed; V Vu
Journal:  Toxicol Sci       Date:  2001-05       Impact factor: 4.849

  9 in total
  2 in total

1.  Extreme sensitivity and the practical implications of risk assessment thresholds.

Authors:  John Bukowski; Mark Nicolich; R Jeffrey Lewis
Journal:  Dose Response       Date:  2012-03-19       Impact factor: 2.658

Review 2.  Donor-specific cell-based assays in studying sensitivity to low-dose radiation: a population-based perspective.

Authors:  Dora Il'yasova; Alexander Kinev; C David Melton; Faith G Davis
Journal:  Front Public Health       Date:  2014-11-18
  2 in total

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