Evidence map›Paper›PMID 37316648›Full record

ArticleNature reviews. Drug discovery2023

eTRANSAFE: data science to empower translational safety assessment.

Ferran Sanz, François Pognan, Thomas Steger-Hartmann, Carlos Díaz, Shoji Asakura, Alexander Amberg, Nathalie Bécourt-Lhote, Niklas Blomberg, Nicolas Bosc, Katharine Briggs and 51 more

Abstract readNews
PubMed Publisher
In one paragraph

Article in Nature reviews. Drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Cross study analyses of SEND data: toxicity profile classification.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  11. AI-driven Discovery of Morphomolecular Signatures in Toxicology.bioRxiv : the preprint server for biology · 2024
    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

61 authors.

Ferran Sanz
François Pognan
Thomas Steger-Hartmann
Carlos Díaz
Shoji Asakura
Alexander Amberg
Nathalie Bécourt-Lhote
Niklas Blomberg
Nicolas Bosc
Katharine Briggs
Frank Bringezu
Claire Brulle-Wohlhueter
Søren Brunak
Ruud Bueters
Giulia Callegaro
Salvador Capella-Gutierrez
Emilio Centeno
Javier Corvi
Mark T D Cronin
Philip Drew
Guillemette Duchateau-Nguyen
Gerhard F Ecker
Sylvia Escher
Eloy Felix
Miguel Ferreiro
Markus Frericks
Laura I Furlong
Robert Geiger
Catherine George
Melanie Grandits
Dragomir Ivanov-Draganov
Jean Kilgour-Christie
Tevfik Kiziloren
Jan A Kors
Naoki Koyama
Annika Kreuchwig
Andrew R Leach
Miguel-Angel Mayer
Peter Monecke
Wolfgang Muster
Chihiro Miyamoto Nakazawa
Gavin Nicholson
Rowan Parry
Manuel Pastor
Janet Piñero
Nils Oberhauser
Juan Manuel Ramírez-Anguita
Adrián Rodrigo
Aljosa Smajic
Markus Schaefer
Sebastian Schieferdecker
Inari Soininen
Emma Terricabras
Panuwat Trairatphisan
Sean C Turner
Alfonso Valencia
Bob van de Water
Johan L van der Lei
Erik M van Mulligen
Esther Vock
David Wilkinson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Data ScienceTranslational Research, BiomedicalHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.