Evidence map›Paper›PMID 35386221›Full record

ArticleComputational toxicology (Amsterdam, Netherlands)2022

Comparing the performance and coverage of selected

Matthew Boyce, Brian Meyer, Chris Grulke, Lucina Lizarraga, Grace Patlewicz

Open access · greenAbstract read
In one paragraph

Article in Computational toxicology (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics.Database : the journal of biological databases and curation · 2025
    Article
  8. Review
  9. A systematic analysis of read-across within REACH registration dossiers.Computational toxicology (Amsterdam, Netherlands) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Towards systematic read-across using Generalised Read-Across (GenRA).Computational toxicology (Amsterdam, Netherlands) · 2023
    Article
  14. Article
  15. Identifying xenobiotic metabolites withFrontiers in toxicology · 2023
    Article
  16. 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 at 2 institutions in 1 country.

Matthew BoyceOak Ridge Associated University, Oak Ridge, TN, 37830, USA.
Brian MeyerCenter for Computational Toxicology & Exposure (CCTE), U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC, 27709, USA.
Chris GrulkeCenter for Computational Toxicology & Exposure (CCTE), U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC, 27709, USA.
Lucina LizarragaCenter for Public Human Health and Environmental Assessment (CPHEA), U.S. Environmental Protection Agency, Cincinnati, OH, USA.
Grace PatlewiczCenter for Computational Toxicology & Exposure (CCTE), U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC, 27709, USA.
Environmental Protection Agency · USResearch Triangle Park Foundation · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Changes in the regulatory landscape of chemical safety assessment call for the use of New Approach Methodologies (NAMs) including read-across to fill data gaps. One critical aspect of analogue evaluation is the extent to which target and source analogues are metabolically similar. In this study, a set of 37 structurally diverse chemicals were compiled from the EPA ToxCast inventory to compare and contrast a selection of metabolism

Indexed as

BioTransfomerCTSin silico toolsmetabolismMeteor NexusOECD ToolboxPPRTVread-acrossSyGMaTIMES

Identifiers

PMID35386221
PMCPMC8979226
OpenAlexW4200447203

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.