Evidence map›Paper›PMID 9399836›Full record

ArticleNucleic acids research1998

p53 gene mutation: software and database.

C Béroud, T Soussi

Abstract read
In one paragraph

Article in Nucleic acids research, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Somatic TP53 Mutations in the Era of Genome Sequencing.Cold Spring Harbor perspectives in medicine · 2016
    Review
  8. Article
  9. Article
  10. p53 Mutagenesis by benzo[a]pyrene derived radical cations.Chemical research in toxicology · 2012
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Induction of lysosomal membrane permeabilization by compounds that activate p53-independent apoptosis.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  19. Article
  20. 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.

C BéroudHôpital Necker Enfants Malades, U383 INSERM, Paris, France.
T Soussi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of different mutations in the p53 tumor suppressor gene have been identified in all types of cancer. As of October, 1997, this database (http:// perso.curie.fr/tsoussi ) contained >7500 mutations. Such a substantial increase since our previous reports should enable epidemiological analyses which were not previously possible. In order to analyse these new data, the UMD software has been improved. A new Web version of the UMD software enables online analysis of the database. The present report describes various improvements since the last release of the database.

Indexed as

Databases, FactualGenes, p53MutationSoftwareAnimalsComputer Communication NetworksDNA Mutational AnalysisHumansInformation Storage and Retrieval

Identifiers

PMID9399836
PMCPMC147206

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.