Literature DB >> 9523441

Characterizing dose-response: I: Critical assessment of the benchmark dose concept.

J A Murrell1, C J Portier, R W Morris.   

Abstract

We present a critical assessment of the benchmark dose (BMD) method introduced by Crump as an alternative method for setting a characteristic dose level for toxicant risk assessment. The no-observed-adverse-effect-level (NOAEL) method has been criticized because it does not use all of the data and because the characteristic dose level obtained depends on the dose levels and the statistical precision (sample sizes) of the study design. Defining the BMD in terms of a confidence bound on a point estimate results in a characteristic dose that also varies with the statistical precision and still depends on the study dose levels. Indiscriminate choice of benchmark response level may result in a BMD that reflects little about the dose-response behavior available from using all of the data. Another concern is that the definition of the BMD for the quantal response case is different for the continuous response case. Specifically, defining the BMD for continuous data using a ratio of increased effect divided by the background response results in an arbitrary dependence on the natural background for the endpoint being studied, making comparison among endpoints less meaningful and standards more arbitrary. We define a modified benchmark dose as a point estimate using the ratio of increased effect divided by the full adverse response range which enables consistent placement of the benchmark response level and provides a BMD with a more consistent relationship to the dose-response curve shape.

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Year:  1998        PMID: 9523441     DOI: 10.1111/j.1539-6924.1998.tb00911.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

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Authors:  Salomon Sand; Christopher J Portier; Daniel Krewski
Journal:  Environ Health Perspect       Date:  2011-08-03       Impact factor: 9.031

2.  Combining the in vivo comet and micronucleus assays: a practical approach to genotoxicity testing and data interpretation.

Authors:  Marie Z Vasquez
Journal:  Mutagenesis       Date:  2009-12-06       Impact factor: 3.000

3.  Comparison of Points of Departure for Health Risk Assessment Based on High-Throughput Screening Data.

Authors:  Salomon Sand; Fred Parham; Christopher J Portier; Raymond R Tice; Daniel Krewski
Journal:  Environ Health Perspect       Date:  2016-07-06       Impact factor: 9.031

4.  Dose-Related Severity Sequence, and Risk-Based Integration, of Chemically Induced Health Effects.

Authors:  Salomon Sand; Roland Lindqvist; Dietrich von Rosen; Nils-Gunnar Ilbäck
Journal:  Toxicol Sci       Date:  2018-09-01       Impact factor: 4.849

  4 in total

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