Ontology highlight
ABSTRACT: Objective
To directly compare the performance and externally validate the three most studied prediction tools for osteoporotic fractures-QFracture, FRAX, and Garvan-using data from electronic health records.Design
Retrospective cohort study.Setting
Payer provider healthcare organisation in Israel.Participants
1 054 815 members aged 50 to 90 years for comparison between tools and cohorts of different age ranges, corresponding to those in each tools' development study, for tool specific external validation.Main outcome measure
First diagnosis of a major osteoporotic fracture (for QFracture and FRAX tools) and hip fractures (for all three tools) recorded in electronic health records from 2010 to 2014. Observed fracture rates were compared to probab
SUBMITTER: Dagan N
PROVIDER: S-EPMC5244817 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature