Background: This thesis is composed of three studies. In the first paper, we tested the association of metformin use with prostate cancer incidence. In the second paper, we examined the association of metformin use with all-cause and prostate cancer specific mortality. The final paper explored the benefit of detailed pathology review to predict mortality among diabetic men with prostate cancer.
Methods: A total of 5306 incident diabetic men older than 66 who subsequently developed prostate cancer were identified using the Ontario Diabetes Database and the Ontario Cancer Registry between 1994-2008. The association of metformin use and risk of prostate cancer and its grade was tested with a nested case-control design using a conditional logistic regression model. We used a cohort design with a time dependent Cox-proportional hazard model to examine the association of metformin use and mortality. Finally, we employed a c-statistic and Net Reclassification Improvement analysis to study the impact of pathology abstraction on predicting mortality.
Results: The data suggest metformin use was not associated with the risk of prostate cancer or its grade at presentation. However, each additional 6 month of metformin use was associated with a 24% decrease in prostate-cancer-specific and 8% decrease in all-cause mortality. Pathology abstraction improved the accuracy in predicting all-cause and prostate-cancer specific mortality.
Conclusions: In our study metformin use was not associated with a decreased risk of prostate cancer, but had a significant impact on all-cause and prostate cancer specific mortality. These results may serve as proof of concept in designing an interventional study of metformin to delay progression in prostate cancer.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/65444 |
| Date | 19 June 2014 |
| Creators | Margel, David |
| Contributors | Urbach, David |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0022 seconds