Evidence map›Paper›PMID 19781107›Full record

ArticleJournal of ovarian research2009

Ovarian cancer mouse models: a summary of current models and their limitations.

Miranda Y Fong, Sham S Kakar

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. The hallmarks of ovarian cancer: proliferation and cell growth.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. CD90Oncotarget · 2019
    Article
  14. Marine Collagen Substrates for 2D and 3D Ovarian Cancer Cell Systems.Frontiers in bioengineering and biotechnology · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. 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 at 1 institution in 1 country.

Miranda Y FongDepartment of Physiology and Biophysics, James Graham Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA. sskaka01@louisville.edu.
Sham S Kakar
University of Louisville · US

Funding

PTTG Role in Ovarian Tumorigenesis and MatastasisR01CA124630 · NCI · UNIVERSITY OF LOUISVILLE · PI KAKAR, SHAM S. · 2007 to 2011
$1.3M
NCI NIH HHS R01 CA124630
6 · The paper itself

Abstract

Development of mouse models representing human spontaneous ovarian cancer has been hampered by the lack of understanding of the etiology of this very complex disease. Mouse models representing the different types of ovarian cancer are needed to understand how epithelial ovarian cancer differs from granulosa cell tumors. Many different methods have been used to generate a viable genetic model with limited success. This review focuses on the methods of various investigators and the limitations of each model in establishing a reproducible and inheritable line to study this disease.

Identifiers

PMID19781107
PMCPMC2762470
OpenAlexW2112176830

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.