Evidence map›Paper›PMID 41132043›Full record

ArticleEpidemiology and health2025

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 and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Daewoo PakDivision of Data Science, Yonsei University Mirae Campus, Wonju, Korea.
Suk Yong JangInstitute of Health Services Research, Yonsei University, Seoul, Korea.
Jin-Ha YoonThe Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.
Dong Wook KimDepartment of Information and Statistics, Gyeongsang National University, Jinju, Korea.
Jin-Won NohDivision of Health Administration, Yonsei University Mirae Campus, Wonju, Korea.
Dong-Woo ChoiCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Minyeong GukCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hyeri KimCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Ju-Won OhCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Heejung ChaeCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hyun-Joo KongCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Gi Hyun KimHealth Insurance Research Institute, National Health Insurance Service, Wonju, Korea.
Ji Woong NamDepartment of Health Administration, Yonsei University Mirae Campus, Wonju, Korea.
Ga Ram LeeDepartment of Eligibility and Imposition Eastern Part Cheongju, National Health Insurance Service, Cheongju, Korea.
Dayun ParkDepartment of Image Processing Algorithm Development, Imaging R&D Center, Osstem implant Co., Ltd., Seoul, Korea.
Jehoo JeonAI Part, Planning AI Division, New Power Plasma Co., Ltd., Suwon, Korea.
Byungyoon YunThe Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.
Ki-Bong YooDivision of Health Administration, Yonsei University Mirae Campus, Wonju, Korea.
Kui Son ChoiCancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/).

Indexed as

Breast NeoplasmsColorectal NeoplasmsLiver NeoplasmsNeoplasmsStomach NeoplasmsAdultAgedAged, 80 and overCohort StudiesDatabases, FactualFemaleHumansIncidenceMaleMiddle AgedRegistriesBreast neoplasmsColorectal neoplasmsData profileLiver neoplasmsStomach neoplasms

Identifiers

PMID41132043
PMCPMC12869124

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.