Science Inventory

Systematic dose-response of environmental epidemiologic studies: Dose and Response Pre-Analysis

Citation:

Allen, B., K. Shao, K. Hobie, W. Mendez Jr, JaniceS Lee, I. Cote, I. Druwe, Jeff Gift, AND Allen Davis. Systematic dose-response of environmental epidemiologic studies: Dose and Response Pre-Analysis. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, Netherlands, 142:105810, (2020). https://doi.org/10.1016/j.envint.2020.105810

Impact/Purpose:

The purpose of this manuscript is to describe the methods by which EPA estimated dose and response data from epidemiological studies published in the literature in order to perform a probabilistic, Bayesian dose-response analysis.

Description:

Meta-analysis approaches can be used to assess the human risks due to exposure to environmental chemicals when there are numerous high-quality epidemiologic studies of priority outcomes in a database. However, methodological issues related to how different studies report effect measures and incorporate exposure into their analyses arise that complicate the pooled analysis of multiple studies. As such, there are “pre-analysis” steps that are often necessary to prepare summary data reported in epidemiologic studies for dose-response analysis. This paper uses epidemiologic studies of arsenic-induced health effects as a case example and addresses the issues surrounding the estimation of mean doses from censored dose- or exposure-intervals reported in the literature (e.g., estimation of mean doses from high exposures that are only reported as an open-ended interval), calculation of a common dose metric for use in a dose-response meta-analysis (one that takes into consideration inter-individual variability), and calculation of response “effective counts” that inherently account for confounders. The methods herein may be generalizable to 1) the analysis of other environmental contaminants with a suitable database of epidemiologic studies, and 2) any meta-analytic approach used to pool information across studies. A second companion paper detailing the use of “pre-analyzed” data in a hierarchical Bayesian dose-response model and techniques for extrapolating risks to target populations follows.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:09/01/2020
Record Last Revised:09/01/2020
OMB Category:Other
Record ID: 349622