Evidence synthesis

Evidence Synthesis and Decision Modeling

The evidence synthesis and modeling component of the CEGeM builds upon the frameworks developed by the ACCE project and EGAPP initiative including the development of an analytic framework, and the consideration of analytic validity, clinical validity, clinical utility and contextual issues. In this component, we will develop a coordinated set of decision/cost-effectiveness models to accomplish three goals:

• (1) To inform the development of clinical and public health recommendations in these areas;
  
• (2) To inform the development of the future evidence generation studies by identifying the most important evidence gaps and needed inputs; and
  
• (3) To serve as prototype for new decision/cost-effectiveness models for other genetic testing scenarios in cancer prevention, screening, treatment, and survivorship.
  The models will be linked to the four clinical/testing scenarios studies examined in the evidence generation proof of principle studies.

The use of evidence synthesis methods, such as systematic reviews, meta-analyses and decision and cost-effectiveness models, complements evidence generation activities by bringing together the available pieces to create a more comprehensive picture of the risks and benefits of alternative approaches. These methods can be particularly important for the development of population based recommendations and guidelines by advisory panels.