Evidence map›Paper›PMID 22577462›Full record

ArticleDrug discovery today. Disease models2011

Paulina Rampetsreiter, Emilio Casanova, Robert Eferl

Abstract read
In one paragraph

Article in Drug discovery today. Disease models, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Mouse models of metastasis: progress and prospects.Disease models & mechanisms · 2017
    Review
  10. Article
  11. Review
  12. 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

3 authors.

Paulina RampetsreiterLudwig Boltzmann Institute for Cancer Research (LBI-CR) , Währinger Strasse 13a, A-1090 Vienna, Austria.
Emilio Casanova
Robert Eferl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor invasion and metastasis is a multi-step process that requires adaptation of cancer cells to conditions that they encounter during their journey to distant body sites. Understanding the molecular processes that underlie this adaptation is of exceeding importance because most cancer patients die because of metastases rather than primary tumors. In this review we assess genetically engineered mouse models (GEMMs) that have been established to investigate mechanisms of cancer invasion and metastasis.

Identifiers

PMID22577462
PMCPMC3334252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.