Evidence map›Paper›PMID 39010797›Full record

ArticleCancer research and treatment2025

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 and 7 more

Abstract read
In one paragraph

Article in Cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sangwon LeeNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Yeon Ho ChoiNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hak Min KimNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Min Ah HongNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Phillip ParkNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
In Hae KwakNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Ye Ji KangNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Kui Son ChoiNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hyun-Joo KongNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hyosung ChaNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hyun-Jin KimNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Kwang Sun RyuNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Young Sang JeonDivision of Data Promotion, Korea Health Information Service, Seoul, Korea.
Hwanhee KimDivision of Data Promotion, Korea Health Information Service, Seoul, Korea.
Jip Min JungDivision of Data Promotion, Korea Health Information Service, Seoul, Korea.
Jeong-Soo ImNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Heejung ChaeNational Cancer Control Institute, National Cancer Center, Goyang, Korea.

Funding

Ministry of Health and Welfare 22A2400-1
6 · The paper itself

Abstract

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.

Indexed as

Databases, FactualNeoplasmsBiomedical ResearchHumansRepublic of KoreaClinical data warehouseCommon data modelDatabaseHealthcare dataMulticenter studyNeoplasms

Identifiers

PMID39010797
PMCPMC11729314

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.