Risk prediction models incorporating multiple risk factors (including genetic markers) are a recognised method to identify individuals at high risk of developing breast or colorectal cancer, but it is uncertain which model(s) currently perform best in a population setting. We aim to compare the predictive ability of each available model. Knowing which model performs best will facilitate early diagnosis, reduce overall costs by better targeting interventions and improve cancer survival.
Increased Mortality Risk Following Osteoporotic Fractures: Data From Dubbo Epidemiology Study And A Consortium Of International Epidemiological Studies
Funder
National Health and Medical Research Council
Funding Amount
$316,449.00
Summary
Osteoporotic fractures affect 1 in 2 women and 1 in 3 men over 60 and result in significant disability and premature mortality. Yet, less than 20% of those affected are treated. One of the reasons for this neglect is an uncertainty surrounding the fracture mortality association. This study will explore the magnitude and causes of this association and the effect of treatment on its prevention in a large multinational study. If positive, this evidence will boost osteoporosis treatment.