Construction of a Retrospective Cohort to Observe 10-Year Urologic Cancer Treatment Trends at the Biggest Medical Center of South Korea
10.22465/kjuo.2021.19.4.232
- Author:
Se Young CHOI
1
;
Ho Heon KIM
;
Bumjin LIM
;
Jong Won LEE
;
Young Seok KIM
;
Jeong Kon KIM
;
Jae Lyun LEE
;
Yong Mee CHO
;
Dalsan YOU
;
In Gab JEONG
;
Cheryn SONG
;
Jun Hyuk HONG
;
Choung-Soo KIM
;
Hanjong AHN
;
Bumsik HONG
Author Information
1. Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Publication Type:Original Article
- From:Korean Journal of Urological Oncology
2021;19(4):232-243
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:To construct a urologic cancer database using a standardized, reproducible method, and to assess preliminary characteristics of this cohort.
Materials and Methods:Patients with prostate, bladder, and kidney cancers who were enrolled with diagnostic codes in the electronic medical record (EMR) at Asan Medical Center from 2007–2016 were included. Research Electronic Data Capture (REDCap) was used to design the Asan Medical Center-Urologic Cancer Database (AMC-UCD). The process included developing a data dictionary, applying branching logic, mapping clinical data warehouse structures, alpha testing, clinical record summary testing, creating “standards of procedure,” importing data, and entering data. Descriptive statistics were used to identify rates of surgeries and numbers of patients.
Results:Clinical variables (n=407) were selected to develop a data dictionary from REDCap. In total, 20,198 urologic cancer patients visited our institution from 2007–2016 (bladder cancer, 4,616; kidney cancer, 5,750; prostate cancer, 10,330). The overall numbers of patients and surgeries increased over time, with robotic surgeries rapidly growing over a decade. The most common treatment for urologic cancer was surgery, followed by chemotherapy and radiation therapy.
Conclusions:Using a standardized method, the AMC-UCD fosters multidisciplinary research. This constructed database provides access to clinical statistics to effectively assist research. Preliminary data should be refined through EMR chart review. The successful organization of data from 2007–2016 provides a framework for future periods of investigation and prospective models.
