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2 "Hwanhee Kim"
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The Cancer Clinical Library Database (CCLD) from the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) Project
Sangwon Lee, Yeon Ho Choi, Hak Min Kim, Min Ah Hong, Phillip Park, In Hae Kwak, Ye Ji Kang, Kui Son Choi, Hyun-Joo Kong, Hyosung Cha, Hyun-Jin Kim, Kwang Sun Ryu, Young Sang Jeon, Hwanhee Kim, Jip Min Jung, Jeong-Soo Im, Heejung Chae
Received February 27, 2024  Accepted July 9, 2024  Published online July 15, 2024  
DOI: https://doi.org/10.4143/crt.2024.218    [Epub ahead of print]
AbstractAbstract PDFPubReaderePub
The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.
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Data Resource Profile: The Cancer Public Library Database in South Korea
Dong-Woo Choi, Min Yeong Guk, Hye Ri Kim, Kwang Sun Ryu, Hyun-Joo Kong, Hyo Soung Cha, Hyun-Jin Kim, Heejung Chae, Young Sang Jeon, Hwanhee Kim, Jipmin Jung, Jeong-Soo Im, Kui Son Choi
Cancer Res Treat. 2024;56(4):1014-1026.   Published online April 30, 2024
DOI: https://doi.org/10.4143/crt.2024.207
AbstractAbstract PDFSupplementary MaterialPubReaderePub
This paper provides a comprehensive overview of the Cancer Public Library Database (CPLD), established under the Korean Clinical Data Utilization for Research Excellence project (K-CURE). The 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. These databases are linked using an encrypted resident registration number. The CPLD, established in 2022 and updated annually, comprises 1,983,499 men and women newly diagnosed with cancer between 2012 and 2019. It contains data on cancer registration and death, demographics, medical claims, general health checkups, and national cancer screening. The most common cancers among men in the CPLD were stomach (16.1%), lung (14.0%), colorectal (13.3%), prostate (9.6%), and liver (9.3%) cancers. The most common cancers among women were thyroid (20.4%), breast (16.6%), colorectal (9.0%), stomach (7.8%), and lung (6.2%) cancers. Among them, 571,285 died between 2012 and 2020 owing to cancer (89.2%) or other causes (10.8%). Upon approval, the CPLD is accessible to researchers through the K-CURE portal. The CPLD is a unique resource for diverse cancer research to investigate medical use before a cancer diagnosis, during initial diagnosis and treatment, and long-term follow-up. This offers expanded insight into healthcare delivery across the cancer continuum, from screening to end-of-life care.

Citations

Citations to this article as recorded by  
  • Risk Factors and Prevention of Stomach Cancer, Excluding Helicobacter pylori
    Seung-Woo Lee
    The Korean Journal of Helicobacter and Upper Gastrointestinal Research.2024; 24(3): 243.     CrossRef
  • Prediction model for survival of younger patients with breast cancer using the breast cancer public staging database
    Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu
    Scientific Reports.2024;[Epub]     CrossRef
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