Cargando…
Overview of BioBank Japan follow-up data in 32 diseases
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 informati...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363789/ https://www.ncbi.nlm.nih.gov/pubmed/28190660 http://dx.doi.org/10.1016/j.je.2016.12.006 |
_version_ | 1782517208702779392 |
---|---|
author | Hirata, Makoto Nagai, Akiko Kamatani, Yoichiro Ninomiya, Toshiharu Tamakoshi, Akiko Yamagata, Zentaro Kubo, Michiaki Muto, Kaori Kiyohara, Yutaka Mushiroda, Taisei Murakami, Yoshinori Yuji, Koichiro Furukawa, Yoichi Zembutsu, Hitoshi Tanaka, Toshihiro Ohnishi, Yozo Nakamura, Yusuke Matsuda, Koichi |
author_facet | Hirata, Makoto Nagai, Akiko Kamatani, Yoichiro Ninomiya, Toshiharu Tamakoshi, Akiko Yamagata, Zentaro Kubo, Michiaki Muto, Kaori Kiyohara, Yutaka Mushiroda, Taisei Murakami, Yoshinori Yuji, Koichiro Furukawa, Yoichi Zembutsu, Hitoshi Tanaka, Toshihiro Ohnishi, Yozo Nakamura, Yusuke Matsuda, Koichi |
author_sort | Hirata, Makoto |
collection | PubMed |
description | 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. Kaplan–Meier 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. |
format | Online Article Text |
id | pubmed-5363789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53637892017-03-24 Overview of BioBank Japan follow-up data in 32 diseases Hirata, Makoto Nagai, Akiko Kamatani, Yoichiro Ninomiya, Toshiharu Tamakoshi, Akiko Yamagata, Zentaro Kubo, Michiaki Muto, Kaori Kiyohara, Yutaka Mushiroda, Taisei Murakami, Yoshinori Yuji, Koichiro Furukawa, Yoichi Zembutsu, Hitoshi Tanaka, Toshihiro Ohnishi, Yozo Nakamura, Yusuke Matsuda, Koichi J Epidemiol Original Article 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. Kaplan–Meier 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. Elsevier 2017-02-10 /pmc/articles/PMC5363789/ /pubmed/28190660 http://dx.doi.org/10.1016/j.je.2016.12.006 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Hirata, Makoto Nagai, Akiko Kamatani, Yoichiro Ninomiya, Toshiharu Tamakoshi, Akiko Yamagata, Zentaro Kubo, Michiaki Muto, Kaori Kiyohara, Yutaka Mushiroda, Taisei Murakami, Yoshinori Yuji, Koichiro Furukawa, Yoichi Zembutsu, Hitoshi Tanaka, Toshihiro Ohnishi, Yozo Nakamura, Yusuke Matsuda, Koichi Overview of BioBank Japan follow-up data in 32 diseases |
title | Overview of BioBank Japan follow-up data in 32 diseases |
title_full | Overview of BioBank Japan follow-up data in 32 diseases |
title_fullStr | Overview of BioBank Japan follow-up data in 32 diseases |
title_full_unstemmed | Overview of BioBank Japan follow-up data in 32 diseases |
title_short | Overview of BioBank Japan follow-up data in 32 diseases |
title_sort | overview of biobank japan follow-up data in 32 diseases |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363789/ https://www.ncbi.nlm.nih.gov/pubmed/28190660 http://dx.doi.org/10.1016/j.je.2016.12.006 |
work_keys_str_mv | AT hiratamakoto overviewofbiobankjapanfollowupdatain32diseases AT nagaiakiko overviewofbiobankjapanfollowupdatain32diseases AT kamataniyoichiro overviewofbiobankjapanfollowupdatain32diseases AT ninomiyatoshiharu overviewofbiobankjapanfollowupdatain32diseases AT tamakoshiakiko overviewofbiobankjapanfollowupdatain32diseases AT yamagatazentaro overviewofbiobankjapanfollowupdatain32diseases AT kubomichiaki overviewofbiobankjapanfollowupdatain32diseases AT mutokaori overviewofbiobankjapanfollowupdatain32diseases AT kiyoharayutaka overviewofbiobankjapanfollowupdatain32diseases AT mushirodataisei overviewofbiobankjapanfollowupdatain32diseases AT murakamiyoshinori overviewofbiobankjapanfollowupdatain32diseases AT yujikoichiro overviewofbiobankjapanfollowupdatain32diseases AT furukawayoichi overviewofbiobankjapanfollowupdatain32diseases AT zembutsuhitoshi overviewofbiobankjapanfollowupdatain32diseases AT tanakatoshihiro overviewofbiobankjapanfollowupdatain32diseases AT ohnishiyozo overviewofbiobankjapanfollowupdatain32diseases AT nakamurayusuke overviewofbiobankjapanfollowupdatain32diseases AT overviewofbiobankjapanfollowupdatain32diseases AT matsudakoichi overviewofbiobankjapanfollowupdatain32diseases |