Is “Real World” Evidence a Reliable Way to Identify Effective Therapies?

Version imprimable
May 26, 2017
Hertzel C. Gerstein

For the CRCHUM conference taking place on June 2, 2017, Hertzel C. Gerstein, Professor of Medicine at McMaster University, will speak about different sources of data for assessing therapeutic effectiveness, using the example of diabetes.


As diabetes is an example of a serious disease that increases the incidence of many serious health outcomes, it is important to identify therapies that effectively reduce the incidence of these outcomes. Evidence from databases and other data that are routinely collected throughout society provides a rich source of clues as to what might or might not work but are unable to identify effective therapies. Indeed the only way to do so is to conduct large, randomized trials. Using the example of diabetes, this presentation will discuss the benefits and hazards of different sources of data for assessing causality and therapeutic effectiveness, and the optimal way to interpret these data.

Guest of Vincent Poitout.

This conference will be presented in English.

Friday, June 2, 2017, at Noon.
Auditorium of the CRCHUM , R05.210 and R05.220
900 Saint-Denis Street, 5th floor 
Montréal (Quebec)  H2X 0A9

Hertzel C. Gerstein,  M.D.,  M.Sc.,  FRCPC 
Professor, Department of Medicine
McMaster University, Hamilton, Ontario
Population Health Institute Chair in Diabetes Research 

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