ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2022
The Korea Cohort Consortium: The Future of Pooling Cohort Studies.
Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fraction of Cancer Attributable to Carcinogenic Drugs in Korea from 2015 to 2030.Cancer research and treatment · 2025Pooled it
- Ginseng Tea Consumption and Liver Cancer Risk: A Prospective Korean Multi-center Cancer Cohort Study.Journal of cancer prevention · 2026Article
- Estimation of Population Attributable Fraction by Hormone and Reproductive Factors on Female Cancer in the Republic of Korea, 2015 to 2030.Cancer research and treatment · 2025Article
- Preventable cancer cases and deaths attributable to deficit of physical activity in Korea from 2015 to 2030.Epidemiology and health · 2025Article
- Preventable cancer cases and deaths attributable to tobacco smoking in Korea from 2015 to 2030.Epidemiology and health · 2025Article
- Fraction of cancer incidence and mortality attributable to dietary factors in Korea from 2015 to 2030.Epidemiology and health · 2025Article
- Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024Article
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Authors and funding
17 authors.
Funding
Abstract
objectivesWe introduced the cohort studies included in the Korea Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies.
methodsWe mainly focused on the characteristics of individual cohort studies from the KCC. We developed "PROFAN", a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated.
resultsThe KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102.
conclusionsWe propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.
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