Evidence map›Paper›PMID 29152601›Full record

ArticleEnvironmental disease

A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.

Paul D Juarez, Darryl B Hood, Gary L Rogers, Suzanne H Baktash, Arnold M Saxton, Patricia Matthews-Juarez, Wansoo Im, Myriam Patricia Cifuentes, Charles A Phillips, Maureen Y Lichtveld and 1 more

Abstract read
In one paragraph

Article in Environmental disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Understanding exposomes and its relation with cancer risk in Malaysia based on epidemiological evidence: a narrative review.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Unsupervised dimensionality reduction for exposome research.Current opinion in environmental science & health · 2020
    Article
  8. The Chemical Exposome of Human Aging.Frontiers in genetics · 2020
    Review
  9. Review
  10. Article
  11. Lung cancer health disparities.Carcinogenesis · 2018
    Review
  12. 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

11 authors.

Paul D JuarezDepartment of Family and Community Medicine, Meharry Medical College, Tennessee.
Darryl B HoodDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Ohio.
Gary L RogersHPC Operations, National Institute for Computational Sciences, University of Tennessee, Tennessee.
Suzanne H BaktashDepartment of Electrical Engineering and Computer Science, University of Tennessee, Tennessee.
Arnold M SaxtonDepartment of Animal Science, Institute of Agriculture, University of Tennessee, Tennessee.
Patricia Matthews-JuarezDepartment of Family and Community Medicine, Meharry Medical College, Tennessee.
Wansoo ImDepartment of Family and Community Medicine, Meharry Medical College, Tennessee.
Myriam Patricia CifuentesDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Ohio.
Charles A PhillipsDepartment of Engineering and Computer Science, University of Tennessee, Tennessee.
Maureen Y LichtveldDepartment of Global Environmental Health Sciences, School of Tropical Medicine, Tulane University, Louisiana, USA.
Michael A LangstonDepartment of Electrical Engineering and Computer Science, University of Tennessee, Tennessee.

Funding

Meharry RCMI Program in Women's Health ResearchG12MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI HILDRETH, JAMES E · 2012 to 2016
$7.8M
Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
Mechanisms of Inhaled B(a)P-Induced NeurotoxicityR56ES017448 · NIEHS · MEHARRY MEDICAL COLLEGE · PI HOOD, DARRYL BRICE · 2010 to 2010
$285k
NIAAA NIH HHS R01 AA018776NIEHS NIH HHS R56 ES017448NIMHD NIH HHS G12 MD007586
6 · The paper itself

Abstract

objectivesThe aim is to identify exposures associated with lung cancer mortality and mortality disparities by race and gender using an exposome database coupled to a graph theoretical toolchain.

methodsGraph theoretical algorithms were employed to extract paracliques from correlation graphs using associations between 2162 environmental exposures and lung cancer mortality rates in 2067 counties, with clique doubling applied to compute an absolute threshold of significance. Factor analysis and multiple linear regressions then were used to analyze differences in exposures associated with lung cancer mortality and mortality disparities by race and gender.

resultsWhile cigarette consumption was highly correlated with rates of lung cancer mortality for both white men and women, previously unidentified novel exposures were more closely associated with lung cancer mortality and mortality disparities for blacks, particularly black women.

conclusionsExposures beyond smoking moderate lung cancer mortality and mortality disparities by race and gender. POLICY IMPLICATIONS: An exposome approach and database coupled with scalable combinatorial analytics provides a powerful new approach for analyzing relationships between multiple environmental exposures, pathways and health outcomes. An assessment of multiple exposures is needed to appropriately translate research findings into environmental public health practice and policy.

Indexed as

Disparitiesexposomelung cancermortalitysocial determinants

Identifiers

PMID29152601
PMCPMC5687093

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.