Evidence map›Paper›PMID 30898898›Full record

ArticleG3 (Bethesda, Md.)2019

Long-Term Combinatorial Exposure to Trichloroethylene and Inorganic Arsenic in Genetically Heterogeneous Mice Results in Renal Tubular Damage and Cancer-Associated Molecular Changes.

Amie Perry, Rachel M Lynch, Ivan Rusyn, David W Threadgill

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Amie PerryDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843.
Rachel M LynchDepartment of Molecular and Cellular Medicine, College of Medicine, Texas A&M University, College Station, TX 77843.
Ivan RusynDepartment of Veterinary Integrative Bioscience, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX 77843.
David W ThreadgillDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843 dwt@tamu.edu.ORCID 0000-0003-3538-1635
Texas A&M University · US

Funding

Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
NIEHS NIH HHS P30 ES029067
6 · The paper itself

Abstract

Trichloroethylene (TCE) and inorganic arsenic (iAs) are environmental contaminants that can target the kidney. Chronic exposure to TCE is associated with increased incidence of renal cell carcinoma, while co-exposure to TCE and iAs likely occurs in exposed human populations, such as those near Superfund sites. In order to better understand the kidney health consequences of TCE and/or iAs exposure, a genetically heterogeneous mouse population derived from FVB/NJ and CAST/EiJ mouse strains and deficient for multidrug resistance genes (

Indexed as

Genetic Predisposition to DiseaseAnimalsArsenicBiomarkersCell Transformation, NeoplasticDisease Models, AnimalDrug SynergismEnvironmental ExposureKaplan-Meier EstimateKidney Function TestsKidney NeoplasmsKidney TubulesMaleMiceMice, TransgenicMutationArsenicBiomarkersTrichloroethyleneVHL protein, mouseVon Hippel-Lindau Tumor Suppressor Proteinarsenicenvironmental exposurerenal toxicitytrichloroethylene

Identifiers

PMID30898898
PMCPMC6505147
OpenAlexW2924758811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.