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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
  • 4,173 View
  • 120 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/).
Special Article
Identification of acute myocardial infarction and stroke events using the National Health Insurance Service database in Korea
Minsung Cho, Hyeok-Hee Lee, Jang-Hyun Baek, Kyu Sun Yum, Min Kim, Jang-Whan Bae, Seung-Jun Lee, Byeong-Keuk Kim, Young Ah Kim, JiHyun Yang, Dong Wook Kim, Young Dae Kim, Haeyong Pak, Kyung Won Kim, Sohee Park, Seng Chan You, Hokyou Lee, Hyeon Chang Kim
Epidemiol Health. 2024;46:e2024001.   Published online December 26, 2023
DOI: https://doi.org/10.4178/epih.e2024001
  • 24,464 View
  • 283 Download
  • 12 Web of Science
  • 10 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
The escalating burden of cardiovascular disease (CVD) is a critical public health issue worldwide. CVD, especially acute myocardial infarction (AMI) and stroke, is the leading contributor to morbidity and mortality in Korea. We aimed to develop algorithms for identifying AMI and stroke events from the National Health Insurance Service (NHIS) database and validate these algorithms through medical record review.
METHODS
We first established a concept and definition of “hospitalization episode,” taking into account the unique features of health claims-based NHIS database. We then developed first and recurrent event identification algorithms, separately for AMI and stroke, to determine whether each hospitalization episode represents a true incident case of AMI or stroke. Finally, we assessed our algorithms’ accuracy by calculating their positive predictive values (PPVs) based on medical records of algorithm-identified events.
RESULTS
We developed identification algorithms for both AMI and stroke. To validate them, we conducted retrospective review of medical records for 3,140 algorithm-identified events (1,399 AMI and 1,741 stroke events) across 24 hospitals throughout Korea. The overall PPVs for the first and recurrent AMI events were around 92% and 78%, respectively, while those for the first and recurrent stroke events were around 88% and 81%, respectively.
CONCLUSIONS
We successfully developed algorithms for identifying AMI and stroke events. The algorithms demonstrated high accuracy, with PPVs of approximately 90% for first events and 80% for recurrent events. These findings indicate that our algorithms hold promise as an instrumental tool for the consistent and reliable production of national CVD statistics in Korea.
Summary
Key Message
In this study, we developed algorithms to identify acute myocardial infarction (AMI) and stroke events from the Korean National Health insurance Service database. To validate them, we conducted retrospective review of medical records across 24 hospitals throughout Korea. The overall positive predictive values for the first and recurrent AMI events were around 92% and 78%, respectively, while those for the first and recurrent stroke events were around 88% and 81%, respectively.

Citations

Citations to this article as recorded by  
  • Cardiovascular Risk Among Stroke Survivors With Combustible and Electronic Cigarettes: A Nationwide Study in Korean Men
    Joonsang Yoo, Jimin Jeon, Minyoul Baik, Yun Young Choi, Jinkwon Kim
    Journal of the American Heart Association.2026;[Epub]     CrossRef
  • Blood pressure status and risk of cardiovascular disease in older adults aged 75+ without prior cardiovascular events: a nationwide cohort study
    Sangwon Choi, Kyung-Do Han, Kyung-Ho Yu, Byung-Chul Lee, Mi Sun Oh, Dae Young Cheon, Minwoo Lee
    European Journal of Preventive Cardiology.2026;[Epub]     CrossRef
  • Geographic disparities in EVT access and stroke mortality under universal health coverage in South Korea
    Jeehye Lee
    BMC Health Services Research.2026;[Epub]     CrossRef
  • Postacute sequelae of SARS-CoV-2 infection on ophthalmic diseases: a binational cohort study
    Jee Myung Yang, Hayeon Lee, Jaeyu Park, Min Kim, Ho-Seok Sa, Joo Yong Lee, Kyung Rim Sung, Francesco Branda, Krishna Prasad Acharya, Dong Keon Yon
    British Journal of Ophthalmology.2026; : bjo-2025-328412.     CrossRef
  • Constipation and risk of death and cardiovascular events in patients on hemodialysis
    Sang Cheol Park, Juyoung Jung, Young Eun Kwon, Song In Baeg, Dong-Jin Oh, Do Hyoung Kim, Young-Ki Lee, Hye Min Choi
    Kidney Research and Clinical Practice.2025; 44(1): 155.     CrossRef
  • Body Mass Index Changes and Femur Fracture Risk in Parkinson's Disease: National Cohort Study
    Sung‐Ho Ahn, Hye Sun Lee, Jun‐Hyuk Lee
    Journal of Cachexia, Sarcopenia and Muscle.2025;[Epub]     CrossRef
  • Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models
    Sumin Lee, Hyeok-Hee Lee, Hokyou Lee, Kyu Sun Yum, Jang-Hyun Baek, Jaewon Khil, Jaeyong Lee, Sojung Shin, Minsung Cho, Na Yeon Ahn, Seng Chan You, Hyeon Chang Kim
    Journal of the American Medical Informatics Association.2025; 32(8): 1320.     CrossRef
  • Cardiovascular risk across blood pressure categories defined by the 2024 ESC and 2023 ESH hypertension guidelines: insights from a Korean nationwide cohort study
    Dae young Cheon, Kyung-do Han, Yeon Jung Lee, Jeen Hwa Lee, Myung Soo Park, Sook Jin Lee, Seongwoo Han, Jae Hyuk Choi, Minwoo Lee
    European Journal of Preventive Cardiology.2025;[Epub]     CrossRef
  • Cumulative Cardiovascular Health Score Through Young Adulthood and Cardiovascular and Kidney Outcomes in Midlife
    Jong Hyun Jhee, Kyoung Hwa Ha, Dasom Son, Hyeok-Hee Lee, Eun-Jin Kim, Hyeon Chang Kim, Hokyou Lee
    JAMA Cardiology.2025; 10(11): 1207.     CrossRef
  • Incidence and case fatality of stroke in Korea, 2011-2020
    Jenny Moon, Yeeun Seo, Hyeok-Hee Lee, Hokyou Lee, Fumie Kaneko, Sojung Shin, Eunji Kim, Kyu Sun Yum, Young Dae Kim, Jang-Hyun Baek, Hyeon Chang Kim
    Epidemiology and Health.2023; 46: e2024003.     CrossRef
Original Article
The Validity and Reliability of Characterizing Epilepsy Based on an External Review of Medical Records
Bong Su Kang, Hae-Kwan Cheong, Ki-Young Jung, Sang Hyeon Jang, Jae Kook Yoo, Dong Wook Kim, Soo-Eun Chung, Seo-Young Lee
Epidemiol Health. 2013;35:e2013006.   Published online August 23, 2013
DOI: https://doi.org/10.4178/epih/e2013006
  • 30,738 View
  • 133 Download
  • 9 Crossref
AbstractAbstract PDF
Abstract
<sec><title>OBJECTIVES</title><p>Our goal is to validate diagnosing and characterizing epilepsy based on a medical record survey by external reviewers.</p></sec><sec><title>METHODS</title><p>We reviewed medical records from 80 patients who received antiepileptic drugs in 2009 at two hospitals. The study consisted of two steps; data abstraction by certified health record administrators and then verification by the investigators. The gold standard was the results of the survey performed by the epileptologists from their own hospital.</p></sec><sec><title>RESULTS</title><p>The specificity was more than 90.0% for diagnosis and activity, and for new-onset seizures. The sensitivity was 97.0% or more for diagnosis and activity and 66.7-75.0% for new-onset epilepsy. This method accurately classified epileptic syndromes in 90.2-92.9% of patients, causes in 85.4-92.7%, and age of onset in 78.0-81.0%. Kappa statistics for inter-rater reliability and test-retest reliability ranged from 0.641-0.975, which means substantial to near-perfect agreement in all items.</p></sec><sec><title>CONCLUSIONS</title><p>Our data suggest that epilepsy can be well identified by external review of medical records. This method may be useful as a basis for large-scale epidemiological research.</p></sec>
Summary

Citations

Citations to this article as recorded by  
  • The association between early childhood onset epilepsy and attention-deficit hyperactivity disorder (ADHD) in 3237 children and adolescents with Autism Spectrum Disorder (ASD): a historical longitudinal cohort data linkage study
    Lauren Carson, Valeria Parlatini, Tara Safa, Benjamin Baig, Hitesh Shetty, Jacqueline Phillips-Owen, Vibhore Prasad, Johnny Downs
    European Child & Adolescent Psychiatry.2023; 32(11): 2129.     CrossRef
  • Risk of COVID-19 Infection and of Severe Complications Among People With Epilepsy
    Joonsang Yoo, Jee Hyun Kim, Jimin Jeon, Jinkwon Kim, Tae-Jin Song
    Neurology.2022;[Epub]     CrossRef
  • The bumpy road to achieve reliability of clinical profile characteristics in psychosis and related disorders
    Steven Berendsen, Mirjam J. van Tricht, Amy Tedja, Thijs J. Burger, Mariken B. de Koning, Lieuwe de Haan
    International Journal of Methods in Psychiatric Research.2021;[Epub]     CrossRef
  • Staging and profiling for schizophrenia spectrum disorders: Inter-rater reliability after a short training course
    Steven Berendsen, Jasper W. van der Paardt, Henricus L. Van, Marion van Bruggen, Hans Nusselder, Margje Jalink, Olav R. de Peuter, Jaap Peen, Mirjam J. van Tricht, Lieuwe de Haan
    Progress in Neuro-Psychopharmacology and Biological Psychiatry.2020; 99: 109856.     CrossRef
  • The new definition and classification of seizures and epilepsy
    Jessica J. Falco-Walter, Ingrid E. Scheffer, Robert S. Fisher
    Epilepsy Research.2018; 139: 73.     CrossRef
  • Presentation and management of community-onset vs hospital-onset first seizures
    Emma Foster, Sarah Holper, Zhibin Chen, Patrick Kwan
    Neurology Clinical Practice.2018; 8(5): 421.     CrossRef
  • Estimating the Prevalence of Treated Epilepsy Using Administrative Health Data and Its Validity: ESSENCE Study
    Seo-Young Lee, Soo-Eun Chung, Dong Wook Kim, So-Hee Eun, Hoon Chul Kang, Yong Won Cho, Sang Do Yi, Heung Dong Kim, Ki-Young Jung, Hae-Kwan Cheong
    Journal of Clinical Neurology.2016; 12(4): 434.     CrossRef
  • Early Antiretroviral Therapy Is Protective Against Epilepsy in Children With Human Immunodeficiency Virus Infection in Botswana
    David Bearden, Andrew P. Steenhoff, Dennis J. Dlugos, Dennis Kolson, Parth Mehta, Sudha Kessler, Elizabeth Lowenthal, Baphaleng Monokwane, Gabriel Anabwani, Gregory P. Bisson
    JAIDS Journal of Acquired Immune Deficiency Syndromes.2015; 69(2): 193.     CrossRef
  • Clinical characteristics of patients with treated epilepsy in Korea: A nationwide epidemiologic study
    Dong Wook Kim, Seo‐Young Lee, Soo‐Eun Chung, Hae‐Kwan Cheong, Ki‐Young Jung
    Epilepsia.2014; 55(1): 67.     CrossRef
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