Validation of Administrative Big Database for Colorectal Cancer Searched by International Classification of Disease 10th Codes in Korean: A Retrospective Big-cohort Study
10.15430/JCP.2018.23.4.183
- Author:
Young Jae HWANG
1
;
Nayoung KIM
;
Chang Yong YUN
;
Hyuk YOON
;
Cheol Min SHIN
;
Young Soo PARK
;
Il Tae SON
;
Heung Kwon OH
;
Duck Woo KIM
;
Sung Bum KANG
;
Hye Seung LEE
;
Seon Mee PARK
;
Dong Ho LEE
Author Information
1. Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea. nayoungkim49@empas.com
- Publication Type:Original Article
- Keywords:
Database;
Validation;
Colorectal neoplasms;
International Classification of Disease
- MeSH:
Classification;
Colitis;
Colonoscopy;
Colorectal Neoplasms;
Hospitalization;
Humans;
Inflammatory Bowel Diseases;
Magnetic Resonance Imaging;
National Health Programs;
Positron-Emission Tomography;
Retrospective Studies;
Sensitivity and Specificity;
Seoul;
Tuberculosis
- From:Journal of Cancer Prevention
2018;23(4):183-190
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: As the number of big-cohort studies increases, validation becomes increasingly more important. We aimed to validate administrative database categorized as colorectal cancer (CRC) by the International Classification of Disease (ICD) 10th code. METHODS: Big-cohort was collected from Clinical Data Warehouse using ICD 10th codes from May 1, 2003 to November 30, 2016 at Seoul National University Bundang Hospital. The patients in the study group had been diagnosed with cancer and were recorded in the ICD 10th code of CRC by the National Health Insurance Service. Subjects with codes of inflammatory bowel disease or tuberculosis colitis were selected for the control group. For the accuracy of registered CRC codes (C18–21), the chart, imaging results, and pathologic findings were examined by two reviewers. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CRC were calculated. RESULTS: A total of 6,780 subjects with CRC and 1,899 control subjects were enrolled. Of these patients, 22 subjects did not have evidence of CRC by colonoscopy, computed tomography, magnetic resonance imaging, or positron emission tomography. The sensitivity and specificity of hospitalization data for identifying CRC were 100.00% and 98.86%, respectively. PPV and NPV were 99.68% and 100.00%, respectively. CONCLUSIONS: The big-cohort database using the ICD 10th code for CRC appears to be accurate.
