Evidence map›Paper›PMID 35211660›Full record

ArticleComputational toxicology (Amsterdam, Netherlands)2022

Towards a qAOP framework for predictive toxicology - Linking data to decisions.

Alicia Paini, Ivana Campia, Mark T D Cronin, David Asturiol, Lidia Ceriani, Thomas E Exner, Wang Gao, Caroline Gomes, Johannes Kruisselbrink, Marvin Martens and 10 more

Abstract 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. An AOP-guidedNAM journal · 2026
    Article
  4. Article
  5. Extrapolation steps in quantitativeCurrent research in toxicology · 2026
    Review
  6. Review
  7. Article
  8. Adverse Outcome Pathways Mechanistically Describing Hepatotoxicity.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Multi-Omics Strategies for Investigating the Microbiome in Toxicology Research.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Review
  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

20 authors.

Alicia PainiEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Ivana CampiaEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Mark T D CroninLiverpool John Moores University, Liverpool, United Kingdom.
David AsturiolEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Lidia CerianiHumane Society International, Brussels, Belgium.
Thomas E ExnerEdelweiss Connect GmbH, Technology Park Basel, Basel, Switzerland.
Wang GaoInstitut National de l'Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, France.
Caroline GomesBASF, Ludwigshafen, Germany.
Johannes KruisselbrinkWageningen University & Research, Wageningen, The Netherlands.
Marvin MartensMaastricht University, Maastricht, The Netherlands.
M E Bette MeekUniversity of Ottawa, Ottawa, Canada.
David PamiesDepartment of Physiology, Lausanne and Swiss Centre for Applied Human Toxicology (SCAHT), University of Lausanne, Lausanne, Switzerland.
Julia PletzLiverpool John Moores University, Liverpool, United Kingdom.
Stefan ScholzHelmholtz Centre for Environmental Research GmbH - UFZ, Leipzig, Germany.
Andreas SchüttlerHelmholtz Centre for Environmental Research GmbH - UFZ, Leipzig, Germany.
Nicoleta SpînuLiverpool John Moores University, Liverpool, United Kingdom.
Daniel L VilleneuveUS Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, Duluth, MN, USA.
Clemens WittwehrEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Andrew WorthEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Mirjam LuijtenNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels and deriving from a range of methodological approaches including

Indexed as

Hazard assessmentIn silico dataIn vitro dataPredictive toxicologyquantitative Adverse Outcome Pathway (qAOP)Weight of evidence (WoE)

Identifiers

PMID35211660
PMCPMC8850654

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.