Literature DB >> 17879232

The current state of knowledge on the use of the benchmark dose concept in risk assessment.

Salomon Sand1, Katarina Victorin, Agneta Falk Filipsson.   

Abstract

This review deals with the current state of knowledge on the use of the benchmark dose (BMD) concept in health risk assessment of chemicals. The BMD method is an alternative to the traditional no-observed-adverse-effect level (NOAEL) and has been presented as a methodological improvement in the field of risk assessment. The BMD method has mostly been employed in the USA but is presently given higher attention also in Europe. The review presents a number of arguments in favor of the BMD, relative to the NOAEL. In addition, it gives a detailed overview of the several procedures that have been suggested and applied for BMD analysis, for quantal as well as continuous data. For quantal data the BMD is generally defined as corresponding to an additional or extra risk of 5% or 10%. For continuous endpoints it is suggested that the BMD is defined as corresponding to a percentage change in response relative to background or relative to the dynamic range of response. Under such definitions, a 5% or 10% change can be considered as default. Besides how to define the BMD and its lower bound, the BMDL, the question of how to select the dose-response model to be used in the BMD and BMDL determination is highlighted. Issues of study design and comparison of dose-response curves and BMDs are also covered. Copyright (c) 2007 John Wiley & Sons, Ltd.

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Year:  2008        PMID: 17879232     DOI: 10.1002/jat.1298

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  23 in total

1.  Model Selection and Estimation with Quantal-Response Data in Benchmark Risk Assessment.

Authors:  Edsel A Peña; Wensong Wu; Walter Piegorsch; Ronald W West; LingLing An
Journal:  Risk Anal       Date:  2016-06-20       Impact factor: 4.000

2.  Safe utilization and zoning on natural selenium-rich land resources: a case study of the typical area in Enshi County, China.

Authors:  Tao Yu; Wanling Hou; Qingye Hou; Wenjun Ma; Xueqi Xia; Yutong Li; Beizhan Yan; Zhongfang Yang
Journal:  Environ Geochem Health       Date:  2020-02-08       Impact factor: 4.609

3.  A high-throughput method for assessing chemical toxicity using a Caenorhabditis elegans reproduction assay.

Authors:  Windy A Boyd; Sandra J McBride; Julie R Rice; Daniel W Snyder; Jonathan H Freedman
Journal:  Toxicol Appl Pharmacol       Date:  2010-03-04       Impact factor: 4.219

4.  The Impact of Model Uncertainty on Benchmark Dose Estimation.

Authors:  R Webster West; Walter W Piegorsch; Edsel A Peña; Lingling An; Wensong Wu; Alissa A Wickens; Hui Xiong; Wenhai Chen
Journal:  Environmetrics       Date:  2012-12       Impact factor: 1.900

5.  Application of hybrid approach for estimating the benchmark dose of urinary cadmium for adverse renal effects in the general population of Japan.

Authors:  Yasushi Suwazono; Kazuhiro Nogawa; Mirei Uetani; Katsuyuki Miura; Kiyomi Sakata; Akira Okayama; Hirotsugu Ueshima; Jeremiah Stamler; Hideaki Nakagawa
Journal:  J Appl Toxicol       Date:  2010-09-11       Impact factor: 3.446

6.  Translational benchmark risk analysis.

Authors:  Walter W Piegorsch
Journal:  J Risk Res       Date:  2010-07

7.  In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs.

Authors:  Fabiola Pizzo; Domenico Gadaleta; Emilio Benfenati
Journal:  Methods Mol Biol       Date:  2022

8.  Benchmark Dose Analysis via Nonparametric Regression Modeling.

Authors:  Walter W Piegorsch; Hui Xiong; Rabi N Bhattacharya; Lizhen Lin
Journal:  Risk Anal       Date:  2013-05-17       Impact factor: 4.000

9.  Information-theoretic model-averaged benchmark dose analysis in environmental risk assessment.

Authors:  Walter W Piegorsch; Lingling An; Alissa A Wickens; R Webster West; Edsel A Peña; Wensong Wu
Journal:  Environmetrics       Date:  2013-05-01       Impact factor: 1.900

10.  Estimation of formaldehyde occupational exposure limit based on genetic damage in some Iranian exposed workers using benchmark dose method.

Authors:  Rezvan Zendehdel; Masoomeh Vahabi; Roya Sedghi
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-05       Impact factor: 4.223

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