Abstract B20: Portinari: Communicating personalized risk in cervical cancer screening using data exploration

Background: Cervical cancer incidence rate has significantly decreased in countries that established organized screening programs. The program invites women in the age group 25 to 69 years for screening exams based on a set of guidelines. The guidelines aim to reduce over-screening of individuals at a very low-risk while effectively detecting and treating individuals at a high-risk of developing cervical cancer. However, risk determined by the screening program for a woman is often different from perception of their own risk. This contributes to a wide range of screening behavior as seen in the data collected by the Cancer Registry of Norway from 1992 to 2014. Some women get screened very frequently while some others consider themselves to be at a low-risk. Women make their own choices and we can see many patterns in their screening trajectories. Furthermore, implementation of new biomarkers may improve efficiency of the screening and requires adjustment of the guidelines. Therefore, we ask, can we use the complete set of cervical cancer screening related data collected from 1.8 million women in Norway to communicate personalized risk and concurrently evaluate performance of existing screening guidelines?Objective: Development and demonstration of a data exploration tool Portinari to communicate personalized risk of a patient based on historical data of a population.Methods and Results: We developed Portinari, a web-based, user friendly, data exploration tool for (non-)expert...
Source: Cancer Epidemiology Biomarkers and Prevention - Category: Cancer & Oncology Authors: Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research