Conférence
Nouvelles approches analytiques en santé

À propos de
l'événement

Le Département d’opérations et systèmes de décision vous invite à une présentation de Vasily Giannakeas, qui s’intéresse au développement de solutions innovantes pour l’utilisation de données de santé numériques à grande échelle dans les études épidémiologiques. Ses recherches portent, entre autres, sur la création de nouvelles approches analytiques pour résoudre les problèmes liés aux données. Lors de cette conférence, il présentera sa recherche Bilateral Mastectomy and Breast Cancer Mortality.

La présentation se déroulera en anglais.

Résumé

Women diagnosed with breast cancer in one breast face a higher risk of developing a new cancer in the opposite breast. This has led many patients to choose to have both breasts removed (bilateral mastectomy), hoping this will improve their chances of survival. However, the long-term survival benefit of bilateral mastectomy as compared to less extensive surgical options remains uncertain.

In our large study, we collected data from over 661,000 women diagnosed with breast cancer who underwent different surgical treatments. We generated three closely matched cohorts of equal size using 1:1:1 generalized propensity score matching by surgery performed and tracked patient outcomes for up to 20 years. We found that while bilateral mastectomy significantly reduces the risk of developing cancer in the opposite breast, it does not improve survival.

Our findings showed that less extensive surgeries, such as lumpectomy (removing only the tumor and surrounding tissue), are just as effective in preventing death from breast cancer. This work challenges prevailing assumptions about the benefits of bilateral mastectomy and highlights the importance of informed decision-making based on patient preferences.Additionally, this work also raises important insights about the nature of cancers in the opposite breast and whether they pose a life-threatening risk or have the potential to spread to other parts of the body.