This week, I have the honor to present about OHDSI at the National Cancer Institute’s Cancer Intervention and Surveillance Network (CISNET) annual meeting. I hadn’t known much about CISNET beyond what @Andrew had introduced me to a few years ago, but in learning more, I’m very impressed by their community of collaborators who are applying advanced mathematical models to inform clinical care and health policy decisions across 6 cancers: lung, breast, cervix, esophageal, colorectal, and prostate. More information about CISNET is available here, including open funding opportunities. The group seeks to fill the evidence gap from whats known from clinical trials and observational studies through simulation modeling which uses prior studies as inputs to produce outputs that extrapolate to scenarios not previously studied.
In my talk, I plan to highlight various activities within our community that may be of interest to CISNET, including: @rchen’s prior work with NCI to phenotype cancers and characterize treatment pathways, the Women of OHDSI’s study to predict breast cancer amongst those with negative mammagraphy (@aostropolets @MauraBeaton @krfeeney), the advances in standardizing data with the Oncology module (@mgurley @rimma @rtmill), and large-scale population-level estimation studies via LEGEND (@msuchard @schuemie @hripcsa). I also wanted to demonstrate the value of network analyses using our standardized analytics (@gregk @pavgra @Chris_Knoll), so I designed a clinical characterization study that covers the cancers of interest to NCI CISNET. If anyone would like to run this analyses on their data to test the feasibility of studying these cancers, I would appreciate it as it may facilitate future collaborations between our communities. Also, if anyone else has any other points of connection that you think I should introduce to the CISNET team, please let me know. I am excited by the opportunity we all have to improve health by empowering our communities to collaboratively generate the evidence that promotes better health decisions and better care.