Evidence map›Paper›PMID 29351546›Full record

ArticleEnvironmental health perspectives2018

Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.

Cynthia J Grondin, Allan Peter Davis, Thomas C Wiegers, Jolene A Wiegers, Carolyn J Mattingly

Abstract read
In one paragraph

Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Retinal Image Analysis for Ocular Disease Prediction Using Rule Mining Algorithms.Interdisciplinary sciences, computational life sciences · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    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

5 authors.

Cynthia J GrondinDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Allan Peter DavisDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Thomas C WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Jolene A WiegersDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Carolyn J MattinglyDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
The Comparative Toxicogenomics Database (CTD)R01ES014065 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI DAVIS, ALLAN PETER, MATTINGLY, CAROLYN J. · 2006 to 2021
$10.5M
Advancing mechanism-based studies with cross-species chemical-phenotype dataR01ES023788 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2015 to 2019
$1.6M
Generation of a centralized and integrated resource for exposure dataR01ES019604 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2011 to 2015
$1.3M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES014065NIEHS NIH HHS R01 ES019604NIEHS NIH HHS R01 ES023788
6 · The paper itself

Abstract

summaryThe Comparative Toxicogenomics Database (CTD; http://ctdbase.org) is a free resource that provides manually curated information on chemical, gene, phenotype, and disease relationships to advance understanding of the effect of environmental exposures on human health. Four core content areas are independently curated: chemical-gene interactions, chemical-disease and gene-disease associations, chemical-phenotype interactions, and environmental exposure data (e.g., effects of chemical stressors on humans). Since releasing exposure data in 2015, we have vastly increased our coverage of chemicals and disease/phenotype outcomes; greatly expanded access to exposure content; added search capability by stressors, cohorts, population demographics, and measured outcomes; and created user-specified displays of content. These enhancements aim to facilitate human studies by allowing comparisons among experimental parameters and across studies involving specified chemicals, populations, or outcomes. Integration of data among CTD's four content areas and external data sets, such as Gene Ontology annotations and pathway information, links exposure data with over 1.8 million chemical-gene, chemical-disease and gene-disease interactions. Our analysis tools reveal direct and inferred relationships among the data and provide opportunities to generate predictive connections between environmental exposures and population-level health outcomes. https://doi.org/10.1289/EHP2873.

Indexed as

Databases, FactualToxicogeneticsEnvironmental ExposureGene OntologyHumansPhenotype

Identifiers

PMID29351546
PMCPMC6014688

What OpenQuestion holds

Textmetadata
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.