Author/Authors :
Van Dyck، نويسنده , , Walter and Gassull، نويسنده , , Daniel and Vértes، نويسنده , , Gergely and Jain، نويسنده , , Prateek and Palaniappan، نويسنده , , Muhilan and Schulthess، نويسنده , , Duane and Tambuyzer، نويسنده , , Erik and Hudson، نويسنده , , Richard G. Moran، نويسنده , , Nuala، نويسنده ,
Abstract :
Through stratification, this simulation shows that there is great potential to improve the efficiency of treating breast cancer. By segmenting the female population at the age of 50 based on family history and genetic testing, our model shows a reduction in costs of breast cancer treatments by 37% with no loss of efficacy accomplished primarily through a 60% drop in incidence of metastatic stages of the disease.
programmes are not inexpensive, and require substantial upfront investments of roughly 2 billion GBP and continued annual investments of several hundred million GBP. However, our simulations show a positive NPV and ROI in approximately year 7 of the programme.
