ArticleEnvironmental health perspectives2025
A Perspective from US Environmental Protection Agency (EPA) Scientists: How Your Epidemiologic Analyses Can Inform the Human Health Risk Assessment Process.
Article in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Micronutrients as Mitigators of Endocrine Disrupting Chemical Health Effects: A Scoping Review and Framework for Epidemiologic Studies.Current environmental health reports · 2026Article
- Who Actually Dies from Indoor Air Pollution? A Forensic Perspective.Diagnostics (Basel, Switzerland) · 2026Review
- Expert perspectives on exposure-response functions for urban health policy: Lessons from a UBDPolicy workshop.Environmental research · 2026Review
- Challenges and pitfalls in analyzing, reporting, and interpreting health effects related to occupational and environmental exposures.Frontiers in epidemiology · 2026Article
- Comparative review of human health reference values of the United States.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- Review
- Invited Perspective: Toward Making Environmental Epidemiology Research More Impactful in Policy-Relevant Risk Assessments.Environmental health perspectives · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnvironmental epidemiologists strive to conduct research that will lead to actions that improve public health outcomes. The risk assessment process is the bridge between scientific research and policies that can impact public health. Historically, epidemiologic studies have not frequently been used to inform US Environmental Protection Agency (EPA) assessments outside of the context of air pollution. There are certain practices that the epidemiology community can adopt to facilitate the integration of epidemiologic studies into policy-relevant assessments.
objectivesThe central objective of this commentary is to provide guidance to epidemiologists that will enhance the value of their studies for US EPA assessments. First, we provide an overview of the US EPA dose-response and toxicity value derivation to increase literacy about these processes across the environmental epidemiology community. Second, we provide suggestions for modeling and reporting to facilitate the use of epidemiologic studies in US EPA dose-response assessments that form the basis for decision-making. DISCUSSION: Epidemiologic research can be used in all aspects of dose-response assessment, which involves identifying a point of departure followed by specific adjustments and extrapolations to identify a toxicity value intended to prevent adverse effects across the population. To facilitate the integration of epidemiologic research into the dose-response assessment process, we provide specific recommendations for additional modeling (e.g., modeling in the low exposure range; exploring nonlinearity) and reporting (e.g., sufficient information to conduct study evaluation; more details on exposure levels in the population) in published epidemiologic research. Many of these suggestions require only additional reporting in the final manuscript or associated appendixes but would have substantial impact on the contribution of the published work to the assessment process. https://doi.org/10.1289/EHP15203.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.