Decision-Making with New Approach Methodologies: Time to Replace Default Uncertainty Factors with Data.

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.

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.

Who cites it

11 citing papers in PubMed.

1. An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs.The Science of the total environment · 2025
   Article
2. A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets.Toxicological sciences : an official journal of the Society of Toxicology · 2025
   Article
3. Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability.Risk analysis : an official publication of the Society for Risk Analysis · 2025
   Article
4. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
   Review
5. Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy.Human genomics · 2024
   Article
6. Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure.Regulatory toxicology and pharmacology : RTP · 2024
   Article
7. Advancing probabilistic risk assessment by integrating human biomonitoring, new approach methods, and Bayesian modeling: A case study with the mycotoxin deoxynivalenol.Environment international · 2023
   Article
8. Reanalysis of Trichloroethylene and Tetrachloroethylene Metabolism to Glutathione Conjugates Using Human, Rat, and Mouse LiverEnvironmental health perspectives · 2022
   Article
9. Cumulative Risk Meets Inter-Individual Variability: Probabilistic Concentration Addition of Complex Mixture Exposures in a Population-Based Human In Vitro Model.Toxics · 2022
   Article
10. Are Non-animal Systemic Safety Assessments Protective? A Toolbox and Workflow.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Article
11. A Population-Based Human In Vitro Approach to Quantify Inter-Individual Variability in Responses to Chemical Mixtures.Toxics · 2022
    Article

Corrections and comments

• Commented on by
  Response to Decision-Making with New Approach Methodologies: Time to Replace Default Uncertainty Factors with Data.2022
• Comment on
  The Future of Uncertainty Factors With In Vitro Studies Using Human Cells.2022

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as