ReviewToxicology research2013
Novel
Review in Toxicology research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 46 citations in OpenAlex.
- AI/ML-based computational models for toxicity prediction.Environmental science and pollution research international · 2026Review
- Review
- Multiscale modelling of drug transport and metabolism in liver spheroids.Interface focus · 2020Article
- Characterisation of a functional rat hepatocyte spheroid model.Toxicology in vitro : an international journal published in association with BIBRA · 2019Article
- Article
- Comprehensive Evaluation of Organotypic and Microphysiological Liver Models for Prediction of Drug-Induced Liver Injury.Frontiers in pharmacology · 2019Review
- Innovative organotypic in vitro models for safety assessment: aligning with regulatory requirements and understanding models of the heart, skin, and liver as paradigms.Archives of toxicology · 2018Review
- Breakthroughs in modern cancer therapy and elusive cardiotoxicity: Critical research-practice gaps, challenges, and insights.Medicinal research reviews · 2018Review
- An integrated theoretical-experimental approach to accelerate translational tissue engineering.Journal of tissue engineering and regenerative medicine · 2018Article
- Exosome is a mechanism of intercellular drug transfer: Application of quantitative pharmacology.Journal of controlled release : official journal of the Controlled Release Society · 2017Article
- In silico characterization of cell-cell interactions using a cellular automata model of cell culture.BMC research notes · 2017Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 2 countries.
Funding
Abstract
The focus of much scientific and medical research is directed towards understanding the disease process and defining therapeutic intervention strategies. The scientific basis of drug safety is very complex and currently remains poorly understood, despite the fact that adverse drug reactions (ADRs) are a major health concern and a serious impediment to development of new medicines. Toxicity issues account for ∼21% drug attrition during drug development and safety testing strategies require considerable animal use. Mechanistic relationships between drug plasma levels and molecular/cellular events that culminate in whole organ toxicity underpins development of novel safety assessment strategies. Current
Identifiers
What OpenQuestion holds
Registered trials
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.