Dataset Information

Standardizing benchmark dose calculations to improve science-based decisions in human health assessments.

ABSTRACT:

Background

Benchmark dose (BMD) modeling computes the dose associated with a prespecified response level. While offering advantages over traditional points of departure (PODs), such as no-observed-adverse-effect-levels (NOAELs), BMD methods have lacked consistency and transparency in application, interpretation, and reporting in human health assessments of chemicals.

Objectives

We aimed to apply a standardized process for conducting BMD modeling to reduce inconsistencies in model fitting and selection.

Methods

We evaluated 880 dose-response data sets for 352 environmental chemicals with existing human health assessments. We calculated benchmark doses and their lower limits [10% extra risk, or change in the mean equal to 1 SD (BMD/L10/1SD)] for each chemical in a standardized way with prespecified criteria for model fit acceptance. We identified study design features associated with acceptable model fits.

Results

We derived values for 255 (72%) of the chemicals. Batch-calculated BMD/L10/1SD values were significantly and highly correlated (R2 of 0.95 and 0.83, respectively, n = 42) with PODs previously used in human health assessments, with values similar to reported NOAELs. Specifically, the median ratio of BMDs10/1SD:NOAELs was 1.96, and the median ratio of BMDLs10/1SD:NOAELs was 0.89. We also observed a significant trend of increasing model viability with increasing number of dose groups.

Conclusions

BMD/L10/1SD values can be calculated in a standardized way for use in health assessments on a large number of chemicals and critical effects. This facilitates the exploration of health effects across multiple studies of a given chemical or, when chemicals need to be compared, providing greater transparency and efficiency than current approaches.

SUBMITTER: Wignall JA

PROVIDER: S-EPMC4014768 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Publications

Standardizing benchmark dose calculations to improve science-based decisions in human health assessments.

Wignall Jessica A JA Shapiro Andrew J AJ Wright Fred A FA Woodruff Tracey J TJ Chiu Weihsueh A WA Guyton Kathryn Z KZ Rusyn Ivan I

Environmental health perspectives 20140225 5

<h4>Background</h4>Benchmark dose (BMD) modeling computes the dose associated with a prespecified response level. While offering advantages over traditional points of departure (PODs), such as no-observed-adverse-effect-levels (NOAELs), BMD methods have lacked consistency and transparency in application, interpretation, and reporting in human health assessments of chemicals.<h4>Objectives</h4>We aimed to apply a standardized process for conducting BMD modeling to reduce inconsistencies in model ...[more]

PMID: 24569956

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Dataset Information

Standardizing benchmark dose calculations to improve science-based decisions in human health assessments.

Background

Objectives

Methods

Results

Conclusions

Publications

Standardizing benchmark dose calculations to improve science-based decisions in human health assessments.

Similar Datasets

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