SA5 Defining Colorectal Cancer Recurrence with Structured-Health Data Algorithms: A Targeted Literature Review

Roughly 50% of patients with colorectal cancer (CRC) experience recurrence within 2 years of surgical resection. Population-level real-world data often lacks recurrence status, making it difficult to adequately classify patients. Several algorithms have been developed to detect progression, metastasis, and recurrence in structured-health data, but methods and validation vary, thus potentially misclassifying patients and leading to inconsistent results dependent on the algorithm used for outcomes research. This review aimed to identify current approaches to developing and validating structured-health data algorithms used to define disease recurrence in patients with CRC.