Evidence map›Paper›PMID 21091657›Full record

ReviewBritish journal of pharmacology2011

How accurate is in vitro prediction of carcinogenicity?

Richard Maurice Walmsley, Nicholas Billinton

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Non-clinical safety assessment ofToxicological research · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Commentary: Novel strategies and new tools to curtail the health effects of pesticides.Environmental health : a global access science source · 2021
    Article
  7. Genotoxicity of Water Extract from Bark-RemovedMolecules (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
  10. Druggability of Coronary Artery Disease Risk Loci.Circulation. Genomic and precision medicine · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Richard Maurice WalmsleyUniversity of Manchester, Manchester, UK. richard.walmsley@manchester.ac.uk
Nicholas Billinton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positive genetic toxicity data suggest carcinogenic hazard, and this can stop a candidate pharmaceutical reaching the clinic. However, during the last decade, it has become clear that many non-carcinogens produce misleading positive results in one or other of the regulatory genotoxicity assays. These doubtful conclusions cost a lot of time and money, as they trigger additional testing of apparently genotoxic candidates, both in vitro and in animals, to discover whether the suggested hazard is genuine. This in turn means that clinical trials can be put on hold. This review describes the current approaches to the 'misleading positive' problem as well as efforts to reduce the use of animals in genotoxicity assessment. The following issues are then addressed: the application of genotoxicity testing screens earlier in development; the search for new or improved in vitro genotoxicity tests; proposed changes to the International Committee on Harmonisation guidance on genotoxicity testing [S2(R1)]. Together, developments in all these areas offer good prospects of a more rapid and cost-effective way to understand genetic toxicity concerns.

Indexed as

Carcinogenicity TestsCarcinogensDrug DiscoveryMutagenicity TestsAnimalsDNA DamageDrug Evaluation, PreclinicalFalse Positive ReactionsGuidelines as TopicNeoplasmsCarcinogens

Identifiers

PMID21091657
PMCPMC3058158

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.