External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination

Volume: 68, Issue: 1, Pages: 25 - 34
Published: Jan 1, 2015
Abstract
To evaluate how often newly developed risk prediction models undergo external validation and how well they perform in such validations.We reviewed derivation studies of newly proposed risk models and their subsequent external validations. Study characteristics, outcome(s), and models' discriminatory performance [area under the curve, (AUC)] in derivation and validation studies were extracted. We estimated the probability of having a validation,...
Paper Details
Title
External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination
Published Date
Jan 1, 2015
Volume
68
Issue
1
Pages
25 - 34
Citation AnalysisPro
  • 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.