New Confidence: Optimizing Benchmark Dose Modeling to Improve Risk Assessment
نویسندگان
چکیده
منابع مشابه
New Confidence: Optimizing Benchmark Dose Modeling to Improve Risk Assessment
Benchmark dose (BMD) modeling has been touted as a more accu rate method for conducting chemical risk assessments. In this issue of EHP, a team of researchers applied BMD modeling to hundreds of chemicals whose health effects are already known in an effort to optimize the approach. To calculate the highest safe oral dose of a noncarcinogenic chem ical, regulators must first estimate the point...
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The overall goal of this project is to evaluate risk assessment methods traditionally used for noncancer health risks and to compare them with new approaches. Initially this report gives a brief economic rationale for the impact of prevention of noncancer health effects. This is shown using figures for years of potential life lost which reveal that noncancer health effects, such as birth defect...
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Establishing an occupational exposure limit (OEL) for N-methyl pyrrolidone (NMP) is important due to its widespread use as a solvent. Based on studies in rodents, the most sensitive toxic end point is a decrease in fetal/pup body weights observed after oral, dermal, and inhalation exposures of dams to NMP. Evidence indicates that the parent compound is the causative agent. To reduce the uncerta...
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The benchmark dose (BMD) is the dose of a substance that is expected to result in a prespecified level of effect, the benchmark response level or BMR. It is a general approach to characterizing dose response, applicable to any toxicant and endpoint. A BMD is conceptually superior to a “no observed adverse effect level” (NOAEL) for this purpose because of being less determined by experimental de...
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ژورنال
عنوان ژورنال: Environmental Health Perspectives
سال: 2014
ISSN: 0091-6765,1552-9924
DOI: 10.1289/ehp.122-a138