Defining treatment regimens and lines of therapy using real-world data in oncology

Summary

Most, if not all, real-world healthcare databases do not contain data explaining treatment changes, requiring that rules be applied to estimate when treatment changes may reflect advancement of underlying disease. This study investigated three tumor types (lung, colorectal and gastric cancer) to develop and provide rules that researchers can apply to real-world databases. The resulting algorithms and associated Statistical Analysis Software (SAS^®)macros from this work are provided for use in the Supplementary data.