Project: RECUR
Files:
- recur-medicare.sas (Lung/Colorectal cancer: Medicare data)
- recur-vdw.sas (Lung/Colorectal cancer: VDW data)
- recur-vdw-breast.sas (Breast cancer: VDW data)
Authors:
- Hajime Uno (email: huno@ds.dfci.harvard.edu)
- Angel Cronin (email: acronin@corrona.org)
- Nikki Carroll (email: Nikki.M.Carroll@kp.org)
Version: 1.0
Date: 2020-11-29
Copyright (C) 2020, Michael Hassett and Debra Ritzwoller's joint research group at Dana-Farber Cancer Institute and Kaiser Permanente Colorado.
License: GNU GPL-2. If you are pursuing commercial software development that incorporates our software please contact Michael Hassett for information on licensing. (email: Michael_Hassett@DFCI.HARVARD.EDU)
These are SAS program codes to run recurrence detection algorithms for lung, colorectal and breast cancer. These algorithms were developed and validated using two data sources that contain a widely available type of structured data (claims or electronic health record encounters) linked to gold-standard recurrence status -- 1) Medicare claims linked to the Cancer Care Outcomes Research and Surveillance study, and 2) the Cancer Research Network Virtual Data Warehouse linked to registry data.
- Hassett MJ, Uno H, Cronin AM, Carroll N, Hornbrook M, Ritzwoller D. Detecting Lung and Colorectal Cancer Recurrence Using Structured Clinical/Administrative Data to Enable Outcomes Research and Population Health Management, Medical Care. 2017; 55(12):e88-e98.
- Ritzwoller DP, Hassett MJ, Uno H, Cronin AM, Carroll NM, Hornbrook MC, Kushi LC. Development, Validation, and Dissemination of a Breast Cancer Recurrence Detection and Timing Informatics Algorithm. JNCI. 2018; 110(3), djx200.
- Uno H, Ritzwoller DP, Cronin AM, Carroll NM, Hornbrook MC, Hassett MJ. Determining the Time of Cancer Recurrence Using Claims or Electronic Medical Record Data. JCO Clinical Cancer Informatics. 2018; (2):1-10.