Evidence map›Paper›PMID 28955244›Full record

ArticleFrontiers in physiology2017

Human

Elisa Passini, Oliver J Britton, Hua Rong Lu, Jutta Rohrbacher, An N Hermans, David J Gallacher, Robert J H Greig, Alfonso Bueno-Orovio, Blanca Rodriguez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed
20.9field-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

179 citing papers in PubMed, 321 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

119 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Elisa PassiniComputational Cardiovascular Science Group, Department of Computer Science, University of OxfordOxford, United Kingdom.
Oliver J BrittonComputational Cardiovascular Science Group, Department of Computer Science, University of OxfordOxford, United Kingdom.
Hua Rong LuGlobal Safety, Pharmacology, Discovery Sciences, Janssen Research and Development, Janssen Pharmaceutica NVBeerse, Belgium.
Jutta RohrbacherGlobal Safety, Pharmacology, Discovery Sciences, Janssen Research and Development, Janssen Pharmaceutica NVBeerse, Belgium.
An N HermansGlobal Safety, Pharmacology, Discovery Sciences, Janssen Research and Development, Janssen Pharmaceutica NVBeerse, Belgium.
David J GallacherGlobal Safety, Pharmacology, Discovery Sciences, Janssen Research and Development, Janssen Pharmaceutica NVBeerse, Belgium.
Robert J H GreigOxford Computer Consultants Ltd.Oxford, United Kingdom.
Alfonso Bueno-OrovioComputational Cardiovascular Science Group, Department of Computer Science, University of OxfordOxford, United Kingdom.
Blanca RodriguezComputational Cardiovascular Science Group, Department of Computer Science, University of OxfordOxford, United Kingdom.
Janssen (Belgium) · BEUniversity of Oxford · GBOxford Computer Consultants (United Kingdom) · GB

Funding

British Heart Foundation RE/08/004/23915British Heart Foundation RE/13/1/30181National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P001076/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P00122X/1
6 · The paper itself

Abstract

Early prediction of cardiotoxicity is critical for drug development. Current animal models raise ethical and translational questions, and have limited accuracy in clinical risk prediction. Human-based computer models constitute a fast, cheap and potentially effective alternative to experimental assays, also facilitating translation to human. Key challenges include consideration of inter-cellular variability in drug responses and integration of computational and experimental methods in safety pharmacology. Our aim is to evaluate the ability of

Indexed as

computer modelsdrug cardiotoxicitydrug safetyhuman ventricular action potentialin silico drug trialsTorsade de Pointes

Identifiers

PMID28955244
PMCPMC5601077
OpenAlexW2754002459

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.