Evidence map›Paper›PMID 35503372›Full record

ReviewArchives of toxicology2022

Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi.

Francesca Caloni, Isabella De Angelis, Thomas Hartung

Open access · hybridAbstract readReview
In one paragraph

Review in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. GanCtrl: a generative AI approach to derive study-aligned synthetic controls for reducing concurrent control animal use.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Are New Approach Methodologies (NAMs) the Holy Grail of toxicology?Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Responses of anToxics · 2024
    Article
  19. ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

3 authors at 3 institutions in 3 countries.

Francesca CaloniDepartment of Environmental Science and Policy (ESP), Università degli Studi di Milano, Via Celoria 10, 20133, Milan, Italy. francesca.caloni@unimi.it.ORCID http://orcid.org/0000-0003-2527-7754
Isabella De AngelisEnvironment and Health Department, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161, Rome, Italy.
Thomas HartungCenter for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Istituto Superiore di Sanità · ITJohns Hopkins University · USUniversity of Milan · IT

Funding

Horizon 2020 681002Horizon 2020 963845
6 · The paper itself

Abstract

Alternative methods to animal use in toxicology are evolving with new advanced tools and multilevel approaches, to answer from one side to 3Rs requirements, and on the other side offering relevant and valid tests for drugs and chemicals, considering also their combination in test strategies, for a proper risk assessment.While stand-alone methods, have demonstrated to be applicable for some specific toxicological predictions with some limitations, the new strategy for the application of New Approach Methods (NAM), to solve complex toxicological endpoints is addressed by Integrated Approaches for Testing and Assessment (IATA), aka Integrated Testing Strategies (ITS) or Defined Approaches for Testing and Assessment (DA). The central challenge of evidence integration is shared with the needs of risk assessment and systematic reviews of an evidence-based Toxicology. Increasingly, machine learning (aka Artificial Intelligence, AI) lends itself to integrate diverse evidence streams.In this article, we give an overview of the state of the art of alternative methods and IATA in toxicology for regulatory use for various hazards, outlining future orientation and perspectives. We call on leveraging the synergies of integrated approaches and evidence integration from in vivo, in vitro and in silico as true in vivitrosi.

Indexed as

Animal Testing AlternativesArtificial IntelligenceAnimalsRisk Assessment3RsComplexityIntegrated approachIn toxicologyNon-animal methodsReplacement

Identifiers

PMID35503372
PMCPMC9151502
OpenAlexW4225309823

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.