Literature DB >> 9927564

Procedures for calculating benchmark doses for health risk assessment.

D Gaylor1, L Ryan, D Krewski, Y Zhu.   

Abstract

Safety assessment for noncancer health effects generally has been based upon dividing a no observed adverse effect (NOAEL) by uncertainty (safety) factors to provide an acceptable daily intake (ADI) or reference dose (RfD). Since the NOAEL does not utilize all of the available dose-response data, allows higher ADI from poorer experiments, and may have an unknown, unacceptable level of risk, the benchmark dose (BD) with a specified, controlled low level of risk has become popular as an adjunct to the NOAEL or the low observed adverse effect level (LOAEL) in the safety assessment process. The purpose of this paper is to summarize statistical procedures available for calculating BDs and their confidence limits for noncancer endpoints. Procedures are presented and illustrated for quantal (binary), quasicontinuous (proportion), and continuous data. Quasicontinuous data arise in developmental studies where the measure of an effect for a fetus is quantal (normal or abnormal) but the experimental unit is the mother (litter) so that results can be expressed as the proportion of abnormal fetuses per litter. However, the correlation of effects among fetuses within a litter poses some additional statistical problems. Also, developmental studies usually include some continuous measures, such as fetal body weight or length. With continuous data there generally is not a clear demarcation between normal and adverse measurements. In such cases, extremely high and/or low measurements at some designated percentile(s) can be considered abnormal. Then the probability (risk) of abnormal individuals can be estimated as a function of dose. The procedure for estimating a BD with continuous data is illustrated using neurotoxicity data. When multiple measures of adverse effects are available, a BD can be estimated based on a selected endpoint or the appearance of any combination of endpoints. Multivariate procedures are illustrated using developmental and reproductive toxicity data. Copyright 1998 Academic Press.

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Year:  1998        PMID: 9927564     DOI: 10.1006/rtph.1998.1247

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  10 in total

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2.  Estimation of benchmark dose for micronucleus occurrence in Chinese vinyl chloride-exposed workers.

Authors:  Qi Wang; Hong-Shan Tan; Xiao-Ming Ma; Yuan Sun; Nan-Nan Feng; Li-Fang Zhou; Yun-Jie Ye; Yi-Liang Zhu; Yong-Liang Li; Paul W Brandt-Rauf; Nai-Jun Tang; Zhao-Lin Xia
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3.  On determining the BMD from multiple outcomes in developmental toxicity studies when one outcome is intentionally missing.

Authors:  Julie S Najita; Paul J Catalano
Journal:  Risk Anal       Date:  2012-12-12       Impact factor: 4.000

Review 4.  FDA-approved drugs that are spermatotoxic in animals and the utility of animal testing for human risk prediction.

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5.  Use of benchmark dose models in risk assessment for occupational handlers of eight pesticides used in pome fruit production.

Authors:  Jane Gurnick Pouzou; John Kissel; Michael G Yost; Richard A Fenske; Alison C Cullen
Journal:  Regul Toxicol Pharmacol       Date:  2019-10-23       Impact factor: 3.271

6.  A signal-to-noise crossover dose as the point of departure for health risk assessment.

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

7.  Assessment of potential risk levels associated with U.S. Environmental Protection Agency reference values.

Authors:  Rosemary Castorina; Tracey J Woodruff
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

8.  Estimation of the benchmark dose of urinary cadmium as the reference level for renal dysfunction: a large sample study in five cadmium polluted areas in China.

Authors:  Shen Ke; Xi-Yu Cheng; Jie-Ying Zhang; Wen-Jing Jia; Hao Li; Hui-Fang Luo; Peng-He Ge; Ze-Min Liu; Hong-Mei Wang; Jin-Sheng He; Zhi-Nan Chen
Journal:  BMC Public Health       Date:  2015-07-14       Impact factor: 3.295

Review 9.  Dietary Cadmium Intake and Its Effects on Kidneys.

Authors:  Soisungwan Satarug
Journal:  Toxics       Date:  2018-03-10

10.  Statistical power considerations show the endocrine disruptor low-dose issue in a new light.

Authors:  Martin Scholze; Andreas Kortenkamp
Journal:  Environ Health Perspect       Date:  2007-12       Impact factor: 9.031

  10 in total

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