ArticleEnvironmental science & technology2019
Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.
Article in Environmental science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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.
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.
Who cites it
73 citing papers in PubMed.
- A Bayesian approach to aggregated chemical exposure assessment.Journal of exposure science & environmental epidemiology · 2026Article
- Application of in vitro to in vivo extrapolation (IVIVE) to inform chemical health guidance value derivation-sample case studies comparing neuro-, hepato-, and developmental toxicities.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Profiling the cytotoxic effects of naled and other pesticides in primary human placental cytotrophoblasts.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations.Scientific data · 2025Article
- ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks.The Science of the total environment · 2025Article
- Article
- Per- and Polyfluoroalkyl Substances (PFAS) in Consumer Products: An Overview of the Occurrence, Migration, and Exposure Assessment.Molecules (Basel, Switzerland) · 2025Review
- The environmental neuroactive chemicals list of prioritized substances for human biomonitoring and neurotoxicity testing: A database and high-throughput toxicokinetics approach.Environmental research · 2025Article
- ctxR: Utilities for interacting with the CTX APIs.NAM journal · 2025Article
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- A review of pharmaceutical and personal care products and atopic dermatitis based on epidemiological and basic research findings.Frontiers in public health · 2025Review
- Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects.Environmental science & technology · 2024Article
- Community-Engaged Research and the Use of Open Access ToxVal/ToxRef In Vivo Databases and New Approach Methodologies (NAM) to Address Human Health Risks From Environmental Contaminants.Birth defects research · 2024Article
- Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes.Chemical research in toxicology · 2024Article
- Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances.Environmental science & technology · 2024Article
- Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS.Environmental science & technology · 2024Article
- Article
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- Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.Environmental health perspectives · 2024Article
- Screening for drinking water contaminants of concern using an automated exposure-focused workflow.Journal of exposure science & environmental epidemiology · 2024Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Prioritizing the potential risk posed to human health by chemicals requires tools that can estimate exposure from limited information. In this study, chemical structure and physicochemical properties were used to predict the probability that a chemical might be associated with any of four exposure pathways leading from sources-consumer (near-field), dietary, far-field industrial, and far-field pesticide-to the general population. The balanced accuracies of these source-based exposure pathway models range from 73 to 81%, with the error rate for identifying positive chemicals ranging from 17 to 36%. We then used exposure pathways to organize predictions from 13 different exposure models as well as other predictors of human intake rates. We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. The consensus model yields an R
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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.