Literature DB >> 33633510

Dose-Response Analysis of Exposure to Arsenic in Drinking Water and Risk of Skin Lesions: A Systematic Review of the Literature.

Paolo Boffetta1,2, Carlotta Zunarelli2, Claire Borron3.   

Abstract

BACKGROUND: Exposure to high arsenic concentrations in drinking water has been associated with skin lesions. Our goal was to conduct a systematic review of studies on skin lesions and arsenic exposure, with emphasis on results at low level of exposure.
METHODS: We conducted a systematic review of studies reporting estimates of either prevalence or risk of skin lesions associated with exposure to more than 2 levels of arsenic in drinking water. We reviewed and abstracted the relevant results, with the aim of conducting a dose-response meta-analysis.
RESULTS: Nine studies of skin lesions were reviewed. Strong heterogeneity in the results did not meet the criteria for performing a meta-analysis. The relative risks for an increase of 10 μg/L arsenic in drinking water ranged from 1.002 to 1.140 (p-value of heterogeneity < 0.0001). Protection from bias and confounding was inadequate in most studies.
CONCLUSION: Current studies are inadequate to conduct meta-analysis on dose-response relationship between exposure to arsenic in drinking water and skin lesions. Studies with complete exposure histories indicate skin lesions are associated with arsenic exposure in excess of 50 µg/L or higher.
© The Author(s) 2020.

Entities:  

Keywords:  arsenic; dose-response; drinking water; epidemiology; skin lesions

Year:  2020        PMID: 33633510      PMCID: PMC7887677          DOI: 10.1177/1559325820957823

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  25 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Health effect levels for risk assessment of childhood exposure to arsenic.

Authors:  Joyce S Tsuji; Robert Benson; Rosalind A Schoof; Gene C Hook
Journal:  Regul Toxicol Pharmacol       Date:  2004-04       Impact factor: 3.271

Review 3.  Reasons or excuses for avoiding meta-analysis in forest plots.

Authors:  John P A Ioannidis; Nikolaos A Patsopoulos; Hannah R Rothstein
Journal:  BMJ       Date:  2008-06-21

4.  Levels of arsenic in drinking-water and cutaneous lesions in Inner Mongolia.

Authors:  Xiaojuan Guo; Zhiyao Liu; Chenping Huang; Lingui You
Journal:  J Health Popul Nutr       Date:  2006-06       Impact factor: 2.000

5.  Prevalence of skin lesions and exposure to arsenic in drinking water in Iran.

Authors:  Mohammad Mosaferi; Masud Yunesian; Saeed Dastgiri; Alireza Mesdaghinia; Nader Esmailnasab
Journal:  Sci Total Environ       Date:  2007-11-13       Impact factor: 7.963

Review 6.  Evaluation of the carcinogenicity of inorganic arsenic.

Authors:  Samuel M Cohen; Lora L Arnold; Barbara D Beck; Ari S Lewis; Michal Eldan
Journal:  Crit Rev Toxicol       Date:  2013-10       Impact factor: 5.635

Review 7.  Arsenic pollution sources.

Authors:  Hemda Garelick; Huw Jones; Agnieszka Dybowska; Eugenia Valsami-Jones
Journal:  Rev Environ Contam Toxicol       Date:  2008       Impact factor: 7.563

8.  Risk of arsenic-related skin lesions in Bangladeshi villages at relatively low exposure: a report from Gonoshasthaya Kendra.

Authors:  Corbett McDonald; Rezaul Hoque; Nazmul Huda; Nicola Cherry
Journal:  Bull World Health Organ       Date:  2007-09       Impact factor: 9.408

9.  Burden of skin lesions of arsenicosis at higher exposure through groundwater of taluka Gambat district Khairpur, Pakistan: a cross-sectional survey.

Authors:  Zafar Fatmi; Imran Naeem Abbasi; Mubashir Ahmed; Ambreen Kazi; Fujio Kayama
Journal:  Environ Geochem Health       Date:  2012-10-31       Impact factor: 4.609

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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