Literature DB >> 35332429

Cigarette smoking and risk of bladder cancer: a dose-response meta-analysis.

Xiaohu Zhao1, Yuanli Wang1, Chaozhao Liang2.   

Abstract

INTRODUCTION: The disease burden of bladder cancer is increasing worldwide; therefore, to deal with this situation, many studies on bladder cancer have been carried out extensively. Among these studies, the risk factors studies may provide a possible way to reduce the incidence of bladder cancer. Meta-analyses and original researches have confirmed that smoking is a risk factor of bladder cancer. However, the specific dose-response relationship between smoking and bladder cancer risk was still unclear. This meta-analysis addresses this research gap by summarizing the accumulated evidences, quantitatively.
METHODS: Relevant studies were obtained by searching PubMed, Embase and Web of Science database since inception until August 10, 2021, without restrictions. To obtain more comprehensive data, reference lists of identified articles were also browsed. Studies that reported risk estimates (relative risks (RR) or odds ratio (OR)) with 95% confidence intervals (CIs) focusing on the association between cigarette smoking and risk of bladder cancer were included in a dose-response meta-analysis.
RESULTS: A non-linear dose-response relationship was confirmed between cigarette smoking and risk of bladder cancer on the basis of 8 cohorts and 44 case-control studies. The summary relative risk of developing bladder cancer for 1 more cigarettes/day (7 cohorts and 24 case-control studies) was 1.039 (95% CI 1.038-1.040, I2 = 0%), for 1 more pack-year (3 cohorts and 21 case-control studies) was 1.017(95% CI 1.016-1.019, I2 = 0%) and for 1 more year of exposure (16 case-control studies) was 1.021 (95% CI 1.020-1.023, I2 = 0%).
CONCLUSION: A positive non-linear dose-response relationship is confirmed between all smoking intensity, pack-years of smoking, smoking duration(years) and the risk of bladder cancer, but the plateau only occurred when smoking intensity reached 20 cigarettes/day. Further studies should report more detailed results, including those for subtypes of gender, age, region and be stratified by other risk factors to rule out residual confounding.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Bladder cancer; Meta-analysis; Risk factor; Smoking

Mesh:

Year:  2022        PMID: 35332429     DOI: 10.1007/s11255-022-03173-w

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  48 in total

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6.  A meta-analysis on XRCC1 R399Q and R194W polymorphisms, smoking and bladder cancer risk.

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Journal:  Mutagenesis       Date:  2008-09-02       Impact factor: 3.000

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Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-01-07       Impact factor: 508.702

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Authors:  Frits Hm van Osch; Sylvia Hj Jochems; Frederik-Jan van Schooten; Richard T Bryan; Maurice P Zeegers
Journal:  Int J Epidemiol       Date:  2016-04-20       Impact factor: 7.196

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Authors:  Christopher J Welty; Jonathan L Wright; James M Hotaling; Parveen Bhatti; Michael P Porter; Emily White
Journal:  Urol Oncol       Date:  2013-03-15       Impact factor: 3.498

10.  Global Trends of Bladder Cancer Incidence and Mortality, and Their Associations with Tobacco Use and Gross Domestic Product Per Capita.

Authors:  Jeremy Yuen-Chun Teoh; Junjie Huang; Wendy Yuet-Kiu Ko; Veeleah Lok; Peter Choi; Chi-Fai Ng; Shomik Sengupta; Hugh Mostafid; Ashish M Kamat; Peter C Black; Shahrokh Shariat; Marek Babjuk; Martin Chi-Sang Wong
Journal:  Eur Urol       Date:  2020-09-21       Impact factor: 20.096

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  1 in total

1.  Association of metabolic syndrome and the risk of bladder cancer: A prospective cohort study.

Authors:  Shuo Fang; Yuchen Liu; Huiru Dai; Tianshun Gao; Leli Zeng; Rui Sun; Zilong Zheng; Jinqiu Yuan; Bin Xia; Yihang Pan
Journal:  Front Oncol       Date:  2022-10-03       Impact factor: 5.738

  1 in total

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