Evidence map›Paper›PMID 16002370›Full record

ReviewEnvironmental health perspectives2005

Personalized exposure assessment: promising approaches for human environmental health research.

Brenda K Weis, David Balshaw, John R Barr, David Brown, Mark Ellisman, Paul Lioy, Gilbert Omenn, John D Potter, Martyn T Smith, Lydia Sohn and 7 more

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–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

47 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Article
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  11. Review
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  15. Is uncertainty in complex disease epidemiology resolvable?Emerging themes in epidemiology · 2015
    Article
  16. Article
  17. Observational
  18. Article
  19. Design and analysis issues in gene and environment studies.Environmental health : a global access science source · 2012
    Review
  20. Article
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

17 authors.

Brenda K WeisDivision of Extramural Research and Training, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina 27709, USA. weis@niehs.nih.gov
David Balshaw
John R Barr
David Brown
Mark Ellisman
Paul Lioy
Gilbert Omenn
John D Potter
Martyn T Smith
Lydia Sohn
William A Suk
Susan Sumner
James Swenberg
David R Walt
Simon Watkins
Claudia Thompson
Samuel H Wilson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New technologies and methods for assessing human exposure to chemicals, dietary and lifestyle factors, infectious agents, and other stressors provide an opportunity to extend the range of human health investigations and advance our understanding of the relationship between environmental exposure and disease. An ad hoc Committee on Environmental Exposure Technology Development was convened to identify new technologies and methods for deriving personalized exposure measurements for application to environmental health studies. The committee identified a "toolbox" of methods for measuring external (environmental) and internal (biologic) exposure and assessing human behaviors that influence the likelihood of exposure to environmental agents. The methods use environmental sensors, geographic information systems, biologic sensors, toxicogenomics, and body burden (biologic) measurements. We discuss each of the methods in relation to current use in human health research; specific gaps in the development, validation, and application of the methods are highlighted. We also present a conceptual framework for moving these technologies into use and acceptance by the scientific community. The framework focuses on understanding complex human diseases using an integrated approach to exposure assessment to define particular exposure-disease relationships and the interaction of genetic and environmental factors in disease occurrence. Improved methods for exposure assessment will result in better means of monitoring and targeting intervention and prevention programs.

Indexed as

Environmental ExposureBiomarkersBody BurdenEnvironmental MonitoringEnvironmental PollutantsGeographic Information SystemsHumansResearchToxicogeneticsXenobioticsBiomarkersEnvironmental PollutantsXenobiotics

Identifiers

PMID16002370
PMCPMC1257643

What OpenQuestion holds

Textmetadata
LicenceCC0
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.