GLORIA

GEOMAR Library Ocean Research Information Access

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • Korean Society for Preventive Medicine  (1)
  • Jee, Sun Ha  (1)
  • Kim, Inah  (1)
Materialart
Verlag/Herausgeber
  • Korean Society for Preventive Medicine  (1)
Sprache
Erscheinungszeitraum
  • 1
    Online-Ressource
    Online-Ressource
    Korean Society for Preventive Medicine ; 2022
    In:  Journal of Preventive Medicine and Public Health Vol. 55, No. 5 ( 2022-09-30), p. 464-474
    In: Journal of Preventive Medicine and Public Health, Korean Society for Preventive Medicine, Vol. 55, No. 5 ( 2022-09-30), p. 464-474
    Kurzfassung: Objectives: We introduced the cohort studies included in the Korean 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.Methods: We 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.Results: The 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.Conclusions: We 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.
    Materialart: Online-Ressource
    ISSN: 1975-8375 , 2233-4521
    Sprache: Englisch
    Verlag: Korean Society for Preventive Medicine
    Publikationsdatum: 2022
    ZDB Id: 2620879-9
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...