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2 "Ki-Bong Yoo"
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Data Profile
Data profile: cancer sample cohorts (stomach, breast, colorectal, and liver) in Korea
Daewoo Pak, Suk Yong Jang, Jin-Ha Yoon, Dong Wook Kim, Jin-Won Noh, Dong-Woo Choi, Minyeong Guk, Hyeri Kim, Ju-Won Oh, Heejung Chae, Hyun-Joo Kong, Gi Hyun Kim, Ji Woong Nam, Ga Ram Lee, Dayun Park, Jehoo Jeon, Byungyoon Yun, Ki-Bong Yoo, Kui Son Choi
Epidemiol Health. 2025;47:e2025058.   Published online October 14, 2025
DOI: https://doi.org/10.4178/epih.e2025058
  • 5,141 View
  • 127 Download
AbstractAbstract AbstractSummary PDF
Abstract
Cancer Public Library Database (CPLD) links data from four major population-based public sources: the Korea National Cancer Incidence Database in the Korea Central Cancer Registry, cause-of-death data in Statistics Korea, the National Health Information Database in the National Health Insurance Service, and the National Health Insurance Research Database in the Health Insurance Review & Assessment Service. The National Cancer Data Center has developed a new nationally representative sample cohort dataset from Korean Clinical Data Utilization for Research Excellence project (K-CURE) CPLD: Stomach Cancer Sample Cohort, Breast Cancer Sample Cohort, Colorectal Cancer Sample Cohort, and Liver Cancer Sample Cohort. The sample populations consisted of approximately 21% of all cancer patients from 2012 to 2019. The populations of the Stomach Cancer Sample Cohort, Breast Cancer Sample Cohort, Colorectal Cancer Sample Cohort, and Liver Cancer Sample Cohort were 51,951, 39,586, 53,485, and 27,375 patients, respectively. The dataset included cancer incidence information, demographics, socioeconomic variables, health utilization data (procedures, diagnoses, and medications), general health checkup data, cancer screening data before and after the cancer incidence, as well as death information. These cohorts could help researchers analyze time-to-event data on mortality, treatment outcomes, comorbid conditions following a cancer diagnosis, and cancer incidence risk factors. The data can be accessed through the K-CURE portal (https://k-cure.mohw.go.kr/).
Summary
Korean summary
국립암센터의 국가암데이터센터는 K-CURE 사업의 일환으로 암·공공라이브러리를 구축하고 위암, 유방암, 대장암, 간암 표본을 공개하였다. 암·공공라이브러리는 국립암센터의 암등록자료를 기준으로 건강보험심사평가원 명세서, 국민건강보험공단 자격 및 검진자료, 통계청 사망자료를 결합하여 구축한 것으로 사용하기 쉽게 암종별 표본을 공개하고 있다. 암등록자료는 발생일자, 요약병기, ICD-O-3 코드를 포함해 기존 청구자료보다 정확한 암 예후 등의 연구가 원격으로 가능하다. 이용자는 희망시 맞춤형 자료로도 신청 가능하다. 사용 신청은 https://k-cure.mohw.go.kr/ 에서 가능하다.
Key Message
The National Cancer Data Center (NCDC) of the National Cancer Center(NCC) developed the Cancer Public Library Database (CPLD) under the Korean Clinical Data Utilization for Research Excellence project (K-CURE). CPLD is constructed by linking the NCC’s cancer registry data with claims data from the Health Insurance Review and Assessment Service, eligibility and health screening data from the National Health Insurance Service, and Cause-of-death data from Statistics Korea. The NCDC has opened sample cohorts for stomach, breast, colorectal, and liver cancers to promote cancer research with a remotely accessible environment. The data can be accessed through the K-CURE portal (https://k-cure.mohw.go.kr/).
Original Article
Impact of hypertension-related avoidable hospitalization on all-cause mortality in older patients with hypertension: a nationwide retrospective cohort study in Korea
Yehrhee Son, Noorhee Son, Sungyoun Chun, Ki-Bong Yoo, Jung Hyun Chang, Woo-Ri Lee
Epidemiol Health. 2025;47:e2025019.   Published online April 18, 2025
DOI: https://doi.org/10.4178/epih.e2025019
  • 11,054 View
  • 117 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The prevalence of hypertension is increasing as a result of rapid population aging, which elevates the societal burden of the disease. In Korea, the hospitalization rate for hypertension-related admissions exceeds the average reported by the Organization for Economic Cooperation and Development; however, the impact of these hospitalizations has not been evaluated. Therefore, this study investigates the association between hypertension-related avoidable hospitalizations and all-cause mortality.
METHODS
We included patients aged ≥60 years diagnosed with hypertension, identified using data from the National Health Insurance Services Senior Cohort spanning 2008 to 2019. The primary outcome was all-cause mortality measured at 3 years and 5 years after the hypertension diagnosis. The key independent variable was the incidence of hypertension-related avoidable hospitalizations within the first year following the initial hypertension diagnosis. Cox proportional hazards regression analysis was employed to assess these associations. To ensure robust findings and minimize selection bias, several sensitivity analyses were conducted.
RESULTS
Out of 65,686 participants, 397 (0.6%) experienced hypertension-related avoidable hospitalizations within 1 year of their initial hypertension diagnosis. Individuals who experienced such hospitalizations had a significantly higher risk of all-cause mortality compared to those who did not (3-year: hazard ratio [HR], 2.12; 95% confidence interval [CI], 1.53 to 2.94; 5-year: HR, 2.13; 95% CI, 1.68 to 2.68).
CONCLUSIONS
Hypertension-related avoidable hospitalizations among older adults are associated with an increased risk of both short-term and long-term all-cause mortality. These findings underscore the importance of timely hypertension management to prevent such hospitalizations.
Summary
Korean summary
- 고혈압 관련 회피가능한 입원은 한국의 노인 고혈압 환자의 3년 및 5년 사망률과 유의미한 연관성을 보인다. - 사회경제적 및 지역적 건강 격차가 관찰되었으며, 저소득층과 대도시 이외 지역에 거주하는 환자의 사망 위험이 더 높았다. - 약물 복용을 포함한 조기 및 지속적인 고혈압 관리는 회피가능한 입원을 예방하고 장기 생존 결과를 개선하는데에 도움이 될 수 있다.
Key Message
- Hypertension-related avoidable hospitalizations are significantly associated with both 3-year and 5-year all-cause mortality among older patients with hypertension in Korea. - Socioeconomic and regional disparities were observed, with greater mortality risks among patients from low-income groups and non-metropolitan areas. - Early and consistent hypertension management—including medication adherence—may help prevent avoidable hospitalizations and improve long-term survival outcomes.

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