Evidence map›Paper›PMID 25859761›Full record

ArticleEnvironmental health perspectives2015

Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

Shannon M Bell, Stephen W Edwards

Abstract read
In one paragraph

Article in Environmental health perspectives, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022
    Review
  4. Article
  5. Data Mining Approaches for Assessing Chemical Coexposures Using Consumer Product Purchase Data.Risk analysis : an official publication of the Society for Risk Analysis · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. New Approach Methodologies for Exposure Science.Current opinion in toxicology · 2019
    Article
  10. Detection and analysis of endogenous polar volatile organic compounds (PVOCs) in urine for human exposome research.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2019
    Article
  11. Review
  12. Article
  13. Article
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  17. Review
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

2 authors.

Shannon M BellOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA.
Stephen W Edwards

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are > 80,000 chemicals in commerce with few data available describing their impacts on human health. Biomonitoring surveys, such as the NHANES (National Health and Nutrition Examination Survey), offer one route to identifying possible relationships between environmental chemicals and health impacts, but sparse data and the complexity of traditional models make it difficult to leverage effectively.

objectiveWe describe a workflow to efficiently and comprehensively evaluate and prioritize chemical-health impact relationships from the NHANES biomonitoring survey studies.

methodsUsing a frequent itemset mining (FIM) approach, we identified relationships between chemicals and health biomarkers and diseases.

resultsThe FIM method identified 7,848 relationships between 219 chemicals and 93 health outcomes/biomarkers. Two case studies used to evaluate the FIM rankings demonstrate that the FIM approach is able to identify published relationships. Because the relationships are derived from the vast majority of the chemicals monitored by NHANES, the resulting list of associations is appropriate for evaluating results from targeted data mining or identifying novel candidate relationships for more detailed investigation.

conclusionsBecause of the computational efficiency of the FIM method, all chemicals and health effects can be considered in a single analysis. The resulting list provides a comprehensive summary of the chemical/health co-occurrences from NHANES that are higher than expected by chance. This information enables ranking and prioritization on chemicals or health effects of interest for evaluation of published results and design of future studies. CITATION: Bell SM, Edwards SW. 2015. Identification and prioritization of relationships between environmental stressors and adverse human health impacts. Environ Health Perspect 123:1193-1199; http://dx.doi.org/10.1289/ehp.1409138.

Indexed as

Nutrition SurveysBiomarkersComputational BiologyData MiningEnvironmental ExposureEnvironmental MonitoringEnvironmental PollutantsHumansRisk AssessmentBiomarkersEnvironmental Pollutants

Identifiers

PMID25859761
PMCPMC4629746

What OpenQuestion holds

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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.