Original paper
Identifying women with undetected ovarian cancer: independent and external validation of QCancer®(Ovarian) prediction model
Abstract
Early identification of ovarian cancer is an unresolved challenge and the predictive value of single symptoms is limited. We evaluated the performance of QCancer(®) (Ovarian) prediction model for predicting the risk of ovarian cancer in a UK cohort of general practice patients. A total of 1.1 million patients registered with a general practice surgery between 1 January 2000 and 30 June 2008, aged 30-84 years with 735 ovarian cancer cases, were...
Paper Details
Title
Identifying women with undetected ovarian cancer: independent and external validation of QCancer®(Ovarian) prediction model
Published Date
Nov 1, 2012
Volume
22
Issue
4
Pages
423 - 429
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History