Optimizing Long-Term Post-Polypectomy Surveillance for Colorectal Cancer Prevention Using a Prediction Rule Developed from a Large, Community-Based Cohort

​Screening has been shown to reduce colorectal cancer incidence and mortality. However, screening has resulted in a growing cohort of patients with adenomatous polyps (adenomas), and little is known about effectively managing their post-polypectomy surveillance. With limited data available in the literature to determine the appropriate timing and frequency of follow-up colonoscopy for patients after adenoma removal, recommendations for post-polypectomy surveillance from our national guidelines have been imprecise at best. To fill this knowledge gap, this project aims to: 1) determine the long- term colorectal cancer risk in patients after colonoscopic polypectomy in a very large “real world” community-based population; 2) identify patient-, polyp-, and exam-related risk factors associated with incident colorectal cancer in these patients; and 3) develop a risk prediction model that will identify post- polypectomy patients at high and low risk for developing subsequent colorectal cancer.

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