ArticlePharmaceuticals (Basel, Switzerland)2021
The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives.
Article in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Transforming animal study toxicology reports into structured, harmonized data using large language models.Archives of toxicology · 2026Article
- Data welfare is animal welfare: Building a WellFAIR research ecosystem.Neuroscience applied · 2026Article
- Navigating the AI Frontier in Toxicology: Trends, Trust, and Transformation.Current environmental health reports · 2025Review
- Mapping between clinical and preclinical terminologies: eTRANSAFE's Rosetta stone approach.Journal of biomedical semantics · 2025Article
- PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports.Journal of cheminformatics · 2025Article
- Cross study analyses of SEND data: toxicity profile classification.Toxicological sciences : an official journal of the Society of Toxicology · 2024Article
- Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Drug review process advancement and required manufacturer and contract research oraganization responses.Journal of toxicologic pathology · 2024Review
- CSL-Tox: an open-source analytical framework for the comparison of short-term and long-term toxicity end points and assessing the need of chronic studies in drug development.Scientific reports · 2023Article
- Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data Sets.Chemical research in toxicology · 2023Article
- eTRANSAFE: data science to empower translational safety assessment.Nature reviews. Drug discovery · 2023Article
- The evolving role of investigative toxicology in the pharmaceutical industry.Nature reviews. Drug discovery · 2023Review
- Hurdles and signposts on the road to virtual control groups-A case study illustrating the influence of anesthesia protocols on electrolyte levels in rats.Frontiers in pharmacology · 2023Article
- Development of In Silico Methods for Toxicity Prediction in Collaboration Between Academia and the Pharmaceutical Industry.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Increasing the Value of Data Within a Large Pharmaceutical Company Through In Silico Models.Methods in molecular biology (Clifton, N.J.) · 2022Article
- ELIXIR and Toxicology: a community in development.F1000Research · 2021Article
- Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational safety assessment of new drugs by using legacy data provided by the pharmaceutical companies that participate in the project. The project objectives include the development of databases containing preclinical and clinical data, computational systems for translational analysis including tools for data query, analysis and visualization, as well as computational models to explain and predict drug safety events.
Indexed as
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.