論文

査読有り
2017年3月

Overview of BioBank Japan follow-up data in 32 diseases

JOURNAL OF EPIDEMIOLOGY
  • Makoto Hirata
  • ,
  • Akiko Nagai
  • ,
  • Yoichiro Kamatani
  • ,
  • Toshiharu Ninomiya
  • ,
  • Akiko Tamakoshi
  • ,
  • Zentaro Yamagata
  • ,
  • Michiaki Kubo
  • ,
  • Kaori Muto
  • ,
  • Yutaka Kiyohara
  • ,
  • Taisei Mushiroda
  • ,
  • Yoshinori Murakami
  • ,
  • Koichiro Yuji
  • ,
  • Yoichi Furukawa
  • ,
  • Hitoshi Zembutsu
  • ,
  • Toshihiro Tanaka
  • ,
  • Yozo Ohnishi
  • ,
  • Yusuke Nakamura
  • ,
  • Koichi Matsuda

27
3
開始ページ
S22
終了ページ
S28
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.je.2016.12.006
出版者・発行元
ELSEVIER SCIENCE INC

Background: We established a patient-oriented biobank, BioBank Japan, with information on approximately 200,000 patients, suffering from any of 47 common diseases. This follow-up survey focused on 32 diseases, potentially associated with poor vital prognosis, and collected patient survival information, including cause of death. We performed a survival analysis for all subjects to get an overview of BioBank Japan follow-up data.
Methods: A total of 141,612 participants were included. The survival data were last updated in 2014. KaplaneMeier survival analysis was performed after categorizing subjects according to sex, age group, and disease status. Relative survival rates were estimated using a survival-rate table of the Japanese general population.
Results: Of 141,612 subjects (56.48% male) with 1,087,434 person-years and a 97.0% follow-up rate, 35,482 patients died during follow-up. Mean age at enrollment was 64.24 years for male subjects and 63.98 years for female subjects. The 5-year and 10-year relative survival rates for all subjects were 0.944 and 0.911, respectively, with a median follow-up duration of 8.40 years. Patients with pancreatic cancer had the least favorable prognosis (10-year relative survival: 0.184) and patients with dyslipidemia had the most favorable prognosis (1.013). The most common cause of death was malignant neoplasms. A number of subjects died from diseases other than their registered disease(s).
Conclusions: This is the first report to perform follow-up survival analysis across various common diseases. Further studies should use detailed clinical and genomic information to identify predictors of mortality in patients with common diseases, contributing to the implementation of personalized medicine. (C) 2017 The Authors. Publishing services by Elsevier B.V. on behalf of The Japan Epidemiological Association.

Web of Science ® 被引用回数 : 24

リンク情報
DOI
https://doi.org/10.1016/j.je.2016.12.006
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000397216800004&DestApp=WOS_CPL