Evidence map›Paper›PMID 34013136›Full record

ArticleComputational toxicology (Amsterdam, Netherlands)2021

Predictive modeling of biological responses in the rat liver using

Caroline Ring, Nisha S Sipes, Jui-Hua Hsieh, Celeste Carberry, Lauren E Koval, William D Klaren, Mark A Harris, Scott S Auerbach, Julia E Rager

Abstract read
In one paragraph

Article in Computational toxicology (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  15. Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022
    Review
  16. Article
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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

9 authors.

Caroline RingToxStrategies, Inc., Austin, TX 78751, United States.
Nisha S SipesDivision of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, United States.
Jui-Hua HsiehKelly Government Solutions, Durham, NC 27709, United States.
Celeste CarberryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Lauren E KovalDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
William D KlarenDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77840, United States.
Mark A HarrisToxStrategies, Inc., Houston, TX 77494, United States.
Scott S AuerbachDivision of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, United States.
Julia E RagerDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Rebecca Fry · 2020 to 2026
$22.2M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES031007
6 · The paper itself

Abstract

Computational methods are needed to more efficiently leverage data from

Indexed as

Biological pathwaysMachine learningPredictive modelingToxCast/Tox21ToxicokineticsTranscriptomics

Identifiers

PMID34013136
PMCPMC8130852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.