Evidence map›Paper›PMID 23491026›Full record

ArticleInternational journal of hygiene and environmental health2013

Multiple classes of environmental chemicals are associated with liver disease: NHANES 2003-2004.

Krista L Yorita Christensen, Caroline K Carrico, Arun J Sanyal, Chris Gennings

Abstract read
In one paragraph

Article in International journal of hygiene and environmental health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. AI/ML-based computational models for toxicity prediction.Environmental science and pollution research international · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Krista L Yorita ChristensenU.S. Environmental Protection Agency, Mailstop 8623P, 1200 Pennsylvania Avenue NW, Washington, DC 20460, USA. Electronic address: Christensen.Krista@epa.gov.
Caroline K Carrico
Arun J Sanyal
Chris Gennings

Funding

Center for Clinical and Translational ResearchUL1TR000058 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2012 to 2015
$12.5M
Integration of Mixtures Toxicology, Toxicogenomics, and StatisticsT32ES007334 · NIEHS · VIRGINIA COMMONWEALTH UNIVERSITY · PI WHEELER, DAVID CHARLES · 2002 to 2018
$2.5M
Empirical Determination of Sufficiently Similiar Complex MixturesR01ES015276 · NIEHS · VIRGINIA COMMONWEALTH UNIVERSITY · PI GENNINGS, CHRIS · 2007 to 2009
$397k
NCATS NIH HHS UL1 TR000058NCATS NIH HHS UL1TR000058NIEHS NIH HHS R01 ES015276NIEHS NIH HHS R01ES015276NIEHS NIH HHS T32 ES007334NIEHS NIH HHS T32ES007334
6 · The paper itself

Abstract

Biomonitoring studies show that humans carry a body burden of multiple classes of contaminants which are not often studied together. Many of these chemicals may be hepatotoxic. We used the 2003-2004 National Health and Nutrition Examination Survey to evaluate the relationship between alanine aminotransferase (ALT) and 37 environmental contaminants, comprising heavy metals, non-dioxin-like polychlorinated biphenyls (PCBs), and dioxin-like compounds, using a novel method. Linear regression models were constructed for each chemical separately, then as a class, using quartiles to represent exposure and adjusting for age, sex, race, income, and BMI. We then used an optimization approach to compile a weighted sum of the quartile scores, both within and across chemical classes. Using the optimization approach to construct weighted quartile scores, the dioxin like PCB, the non-dioxin like PCB and metal class-level scores were significantly associated with elevated ALT. A significant interaction was detected between the class-level score for metals, and the score for non-dioxin-like PCBs. When including all chemicals in one model, 3 chemicals accounted for 78% of the weight (mercury, PCB 180, 3,3',4,4',5-PNCB) with the remaining 22% associated with 4 chemicals (a dioxin and 3 PCBs). Validation with a holdout dataset indicated that the weighted quartile sum estimator efficiently identifies reproducible significant associations.

Indexed as

AdolescentAdultAgedAlanine TransaminaseChemical and Drug Induced Liver InjuryChildDioxinsEnvironmental ExposureEnvironmental PollutantsFemaleHumansLiverMaleMercuryMetals, HeavyMiddle AgedAlanine TransaminaseDioxinsEnvironmental PollutantsMercuryMetals, HeavyPolychlorinated BiphenylsALTBiomonitoringCumulativeLiverMixtures

Identifiers

PMID23491026
PMCPMC3713174

What OpenQuestion holds

Textmetadata
LicenceTDM
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.