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Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies
Prospective epidemiologic studies on the association between body mass index (BMI) and bladder cancer yielded inconsistent findings. This study sought to quantitatively summarize the evidence by performing a dose-response meta-analysis on prospective cohort studies. Eligible studies were retrieved v...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464928/ https://www.ncbi.nlm.nih.gov/pubmed/28389625 http://dx.doi.org/10.18632/oncotarget.16722 |
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author | Zhao, Limin Tian, Xiaoqin Duan, Xueyan Ye, Yongxiu Sun, Min Huang, Junfang |
author_facet | Zhao, Limin Tian, Xiaoqin Duan, Xueyan Ye, Yongxiu Sun, Min Huang, Junfang |
author_sort | Zhao, Limin |
collection | PubMed |
description | Prospective epidemiologic studies on the association between body mass index (BMI) and bladder cancer yielded inconsistent findings. This study sought to quantitatively summarize the evidence by performing a dose-response meta-analysis on prospective cohort studies. Eligible studies were retrieved via PubMed and Embase databases, and by manual review of the references. Linear and nonlinear trend analyses were conducted to explore the relationships between BMI and bladder cancer risk. Meta-analyses on the categories of overweight and obesity were also conducted. The summary relative risk (SRR) was estimated. Heterogeneity across the studies was explored through subgroup analyses based on gender, age, year of publication, sample size, assessment of BMI, geographic location, physical activity and family history of cancer. A total of 14 prospective cohort studies involving 12,642 cases were included. Result of the dose-response analysis showed a nonlinear positive relationship between BMI and bladder cancer (SRR = 1.03, 95% CI: 1.01-1.06, P-nonlinearity =0.031), suggesting that per 5 kg/m(2) increment on BMI corresponded to a 3.1 % increase of bladder cancer risk, especially BMI exceed 30kg/m(2). Furthermore, significant positive association was also observed between obesity category and bladder cancer risk (SRR: 1.10, 95%CI: 1.03-1.17). In summary, this dose-response meta-analysis suggests a nonlinear positive association between BMI and bladder cancer risk. Further studies are required to confirm these findings and elucidate the pathogenic mechanisms. |
format | Online Article Text |
id | pubmed-5464928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54649282017-06-21 Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies Zhao, Limin Tian, Xiaoqin Duan, Xueyan Ye, Yongxiu Sun, Min Huang, Junfang Oncotarget Review Prospective epidemiologic studies on the association between body mass index (BMI) and bladder cancer yielded inconsistent findings. This study sought to quantitatively summarize the evidence by performing a dose-response meta-analysis on prospective cohort studies. Eligible studies were retrieved via PubMed and Embase databases, and by manual review of the references. Linear and nonlinear trend analyses were conducted to explore the relationships between BMI and bladder cancer risk. Meta-analyses on the categories of overweight and obesity were also conducted. The summary relative risk (SRR) was estimated. Heterogeneity across the studies was explored through subgroup analyses based on gender, age, year of publication, sample size, assessment of BMI, geographic location, physical activity and family history of cancer. A total of 14 prospective cohort studies involving 12,642 cases were included. Result of the dose-response analysis showed a nonlinear positive relationship between BMI and bladder cancer (SRR = 1.03, 95% CI: 1.01-1.06, P-nonlinearity =0.031), suggesting that per 5 kg/m(2) increment on BMI corresponded to a 3.1 % increase of bladder cancer risk, especially BMI exceed 30kg/m(2). Furthermore, significant positive association was also observed between obesity category and bladder cancer risk (SRR: 1.10, 95%CI: 1.03-1.17). In summary, this dose-response meta-analysis suggests a nonlinear positive association between BMI and bladder cancer risk. Further studies are required to confirm these findings and elucidate the pathogenic mechanisms. Impact Journals LLC 2017-03-30 /pmc/articles/PMC5464928/ /pubmed/28389625 http://dx.doi.org/10.18632/oncotarget.16722 Text en Copyright: © 2017 Zhao et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Review Zhao, Limin Tian, Xiaoqin Duan, Xueyan Ye, Yongxiu Sun, Min Huang, Junfang Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title | Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title_full | Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title_fullStr | Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title_full_unstemmed | Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title_short | Association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
title_sort | association of body mass index with bladder cancer risk: a dose-response meta-analysis of prospective cohort studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464928/ https://www.ncbi.nlm.nih.gov/pubmed/28389625 http://dx.doi.org/10.18632/oncotarget.16722 |
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