Evidence map›Paper›PMID 31340180›Full record

ArticleReproductive toxicology (Elmsford, N.Y.)2019

ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses.

Sean Watford, Ly Ly Pham, Jessica Wignall, Robert Shin, Matthew T Martin, Katie Paul Friedman

Abstract read
In one paragraph

Article in Reproductive toxicology (Elmsford, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The OASIS Consortium: integrating multi-omics technologies to transform chemical safety assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Adverse effects in traditional and alternative toxicity tests.Regulatory toxicology and pharmacology : RTP · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Sean WatfordORAU, Contractor to U.S. Environmental Protection Agency through the National Student Services Contract, United States; National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, United States.
Ly Ly PhamORAU, Contractor to U.S. Environmental Protection Agency through the National Student Services Contract, United States; ORISE Postdoctoral Research Participant, United States.
Jessica WignallICF, Burlington, VT, United States.
Robert ShinICF, Burlington, VT, United States.
Matthew T MartinORAU, Contractor to U.S. Environmental Protection Agency through the National Student Services Contract, United States; Currently at Drug Safety Research and Development, Global Investigative Toxicology, Pfizer, Groton, CT, United States.
Katie Paul FriedmanNational Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, United States. Electronic address: paul-friedman.katie@epa.gov.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The Toxicity Reference Database (ToxRefDB) structures information from over 5000 in vivo toxicity studies, conducted largely to guidelines or specifications from the US Environmental Protection Agency and the National Toxicology Program, into a public resource for training and validation of predictive models. Herein, ToxRefDB version 2.0 (ToxRefDBv2) development is described. Endpoints were annotated (e.g. required, not required) according to guidelines for subacute, subchronic, chronic, developmental, and multigenerational reproductive designs, distinguishing negative responses from untested. Quantitative data were extracted, and dose-response modeling for nearly 28,000 datasets from nearly 400 endpoints using Benchmark Dose (BMD) Modeling Software were generated and stored. Implementation of controlled vocabulary improved data quality; standardization to guideline requirements and cross-referencing with United Medical Language System (UMLS) connects ToxRefDBv2 observations to vocabularies linked to UMLS, including PubMed medical subject headings. ToxRefDBv2 allows for increased connections to other resources and has greatly enhanced quantitative and qualitative utility for predictive toxicology.

Indexed as

AnimalsComputational BiologyDatabases, FactualDose-Response Relationship, DrugHazardous SubstancesModels, BiologicalSoftwareToxicologyUnited StatesUnited States Environmental Protection AgencyHazardous SubstancesIn vivo toxicologyPredictive toxicologyToxicology database

Identifiers

PMID31340180
PMCPMC6944327

What Socratic 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 Socratic graph.