Literature DB >> 17159272

Inorganic arsenic in drinking water and bladder cancer: a meta-analysis for dose-response assessment.

Huei-An Chu1, Douglas J Crawford-Brown.   

Abstract

Most arsenic cancer risk assessments have been based solely on epidemiological studies to characterize the dose-response relationship for arsenic-associated cancer and to perform risk calculations. However, current epidemiological evidence is too inconsistent and fraught with uncertainty regarding arsenic exposure to provide reliable estimates. This makes it hard to draw a firm conclusion about the shape and slope of the dose-response relationship from individual studies. Meta-analysis is a statistical approach to combining results across studies and offers expanded opportunities for obtaining an improved dose-response relationship. In this study, a meta-analysis of arsenic studies was conducted by combining seven epidemiological studies from different regions to get an overall dose-response relationship between the amount of arsenic intake and the excess probability of bladder cancer. Both the fixed-effect and random-effect models were used to calculate the averaged coefficient of the linear-logistic regression model. A homogeneity test was also conducted. The final product of this research is an aggregated dose-response model in the range of empirical observation of arsenic. Considering the most recent arsenic MCL (maximum contaminant level, i.e. 10microg/L), the associated bladder cancer risk (lifetime excess probability) at this MCL is 2.29 x 10-5.

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Year:  2006        PMID: 17159272     DOI: 10.3390/ijerph2006030039

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  12 in total

1.  Cytotoxic activity of selenosulfate versus selenite in tumor cells depends on cell line and presence of amino acids.

Authors:  Sinikka Hinrichsen; Britta Planer-Friedrich
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-18       Impact factor: 4.223

2.  Nrf2 protects against As(III)-induced damage in mouse liver and bladder.

Authors:  Tao Jiang; Zheping Huang; Jefferson Y Chan; Donna D Zhang
Journal:  Toxicol Appl Pharmacol       Date:  2009-06-16       Impact factor: 4.219

3.  Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods.

Authors:  Bruce Allen; Kan Shao; Kevin Hobbie; William Mendez; Janice S Lee; Ila Cote; Ingrid Druwe; Jeffrey S Gift; J Allen Davis
Journal:  Environ Int       Date:  2020-09-21       Impact factor: 9.621

4.  Arsenic concentration in rice, fish, meat and vegetables in Cambodia: a preliminary risk assessment.

Authors:  Hong-Sheng Wang; Suthipong Sthiannopkao; Zhuo-Jia Chen; Yu-Bon Man; Jun Du; Guang-Hua Xing; Kyoung-Woong Kim; Mohamed Salleh Mohamed Yasin; Jamal Hisham Hashim; Ming-Hung Wong
Journal:  Environ Geochem Health       Date:  2013-06-01       Impact factor: 4.609

Review 5.  Use of Systematic Review and Meta-Analysis in Environmental Health Epidemiology: a Systematic Review and Comparison with Guidelines.

Authors:  Mary C Sheehan; Juleen Lam
Journal:  Curr Environ Health Rep       Date:  2015-09

Review 6.  Association between Arsenic Exposure and Diabetes: A Meta-Analysis.

Authors:  Tzu-Ching Sung; Jhih-Wei Huang; How-Ran Guo
Journal:  Biomed Res Int       Date:  2015-04-27       Impact factor: 3.411

7.  Arsenic in Drinking Water, Transition Cell Cancer and Chronic Cystitis in Rural Bangladesh.

Authors:  Mohammad Golam Mostafa; Nicola Cherry
Journal:  Int J Environ Res Public Health       Date:  2015-10-28       Impact factor: 3.390

Review 8.  Molecular targets in urothelial cancer: detection, treatment, and animal models of bladder cancer.

Authors:  Dmitriy Smolensky; Kusum Rathore; Maria Cekanova
Journal:  Drug Des Devel Ther       Date:  2016-10-05       Impact factor: 4.162

9.  Dose-risk and duration-risk relationships between aspirin and colorectal cancer: a meta-analysis of published cohort studies.

Authors:  Xiaohua Ye; Jinjian Fu; Yi Yang; Sidong Chen
Journal:  PLoS One       Date:  2013-02-25       Impact factor: 3.240

Review 10.  Modifiable risk factors for the prevention of bladder cancer: a systematic review of meta-analyses.

Authors:  Abdulmohsen H Al-Zalabani; Kelly F J Stewart; Anke Wesselius; Annemie M W J Schols; Maurice P Zeegers
Journal:  Eur J Epidemiol       Date:  2016-03-21       Impact factor: 8.082

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