Evidence map›Paper›PMID 32768806›Full record

ArticleEnvironment international2020

Application of a unified probabilistic framework to the dose-response assessment of acrolein.

Todd Blessinger, Allen Davis, Weihsueh A Chiu, John Stanek, George M Woodall, Jeff Gift, Kristina A Thayer, David Bussard

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Integration of mechanistic and repeat dose toxicity data in the derivation of an oral reference dose for HFPO-DA.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  2. Comparative review of human health reference values of the United States.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Todd BlessingerCenter for Public Health and Environmental Assessment (CPHEA), United States Environmental Protection Agency (US EPA), Mail code 8623R, 1200 Pennsylvania Ave NW, Washington, DC 20460, USA. Electronic address: blessinger.todd@epa.gov.
Allen DavisCenter for Public Health and Environmental Assessment (CPHEA), United States Environmental Protection Agency (US EPA), Mail code 8623R, 1200 Pennsylvania Ave NW, Washington, DC 20460, USA. Electronic address: davis.allen@epa.gov.
Weihsueh A ChiuDepartment of Veterinary Integrative Biosciences, 4458 TAMU, Texas A&M University, College Station, TX 77843-4458, USA. Electronic address: wchiu@cvm.tamu.edu.
John StanekCPHEA, 109 T.W. Alexander Drive, US EPA, Mail code B243-01, Research Triangle Park, NC 27711, USA. Electronic address: stanek.john@epa.gov.
George M WoodallCPHEA, 109 T.W. Alexander Drive, US EPA, Mail code B243-01, Research Triangle Park, NC 27711, USA. Electronic address: woodall.george@epa.gov.
Jeff GiftCPHEA, 109 T.W. Alexander Drive, US EPA, Mail code B243-01, Research Triangle Park, NC 27711, USA. Electronic address: gift.jeff@epa.gov.
Kristina A ThayerCPHEA, 109 T.W. Alexander Drive, US EPA, Mail code B243-01, Research Triangle Park, NC 27711, USA. Electronic address: thayer.kris@epa.gov.
David BussardOffice of the Science Advisor, Policy and Engagement, US EPA, 1300 Pennsylvania Ave NW, Mail code 8104R, Washington, DC 20460, USA. Electronic address: bussard.david@epa.gov.
Environmental Protection Agency · USResearch Triangle Park Foundation · USTexas A&M University · US

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
IMSD at Texas A&M University: Initiative for Maximizing Student Diversity in Biomedical SciencesT32GM135748 · NIGMS · TEXAS A&M UNIVERSITY · PI BRINKMEYER-LANGFORD, CANDICE L., CHIU, WEIHSUEH A · 2020 to 2024
$1.2M
NIEHS NIH HHS P42 ES027704NIGMS NIH HHS T32 GM135748
6 · The paper itself

Abstract

backgroundIn quantitative chemical risk assessment, a reference value is an estimate of an exposure to a chemical that is "likely to be without appreciable risk." Because current "deterministic" approaches do not quantitatively characterize the likelihood or severity of harm, the National Academies has recommended using reference values derived from a risk-specific dose that are treated as random variables, with probability distributions characterizing uncertainty and variability.

objectivesIn order to build familiarity and address issues needed for routine and standardized derivation of probabilistic risk-specific dose distributions, a case example applying the unified probabilistic framework presented in Chiu and Slob (2015) is developed for acrolein. This case study is based on an updated systematic evidence map of literature (Keshava et al., 2020) identifying nasal lesions reported in Dorman et al. (2008) as the most appropriate endpoint and study for reference value derivation.

methodsThe probability distribution was calculated for the risk-specific dose, which in this implementation of the approach was calculated for the dose at which 1% of the human population is estimated to experience minimal lesions, and a probabilistic reference value was computed as the 5th percentile of this distribution. A deterministic reference value was also derived for comparison, and a sensitivity analysis of the probabilistic reference value was conducted investigating alternative assumptions for the point of departure type and exposure duration.

resultsThe probabilistic reference value of 6 × 10

conclusionsUsing a probabilistic approach for deriving a reference value allows quantitative characterization of the severity, incidence, and uncertainty of effects at a given dose. The results can be used to inform risk management decisions and improve risk communication.

Indexed as

AcroleinModels, StatisticalHumansProbabilityRisk AssessmentUncertaintyAcroleinApproximate probabilistic analysisDose-responseQuantitative uncertainty analysisReference concentrationReference doseRisk assessment

Identifiers

PMID32768806
PMCPMC7877001
OpenAlexW3047334475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.