Evidence map›Paper›PMID 20401490›Full record

ArticleInternational archives of occupational and environmental health2010

Lifetime exposure to arsenic in residential drinking water in Central Europe.

Rupert Lloyd Hough, Tony Fletcher, Giovanni Sebastiano Leonardi, Walter Goessler, Patrizia Gnagnarella, Felicity Clemens, Eugen Gurzau, Kvetoslava Koppova, Peter Rudnai, Rajiv Kumar and 1 more

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Article in International archives of occupational and environmental health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Rupert Lloyd HoughPEHRU Public and Environmental Health Research Unit, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Tony Fletcher
Giovanni Sebastiano Leonardi
Walter Goessler
Patrizia Gnagnarella
Felicity Clemens
Eugen Gurzau
Kvetoslava Koppova
Peter Rudnai
Rajiv Kumar
Marie Vahter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMethods and results are presented for an arsenic exposure assessment integral to an epidemiological case-control study of arsenic and cancer-the European Commission funded ASHRAM (Arsenic Health Risk Assessment and Molecular Epidemiology) study carried out in some counties of Hungary, Romania and Slovakia.

methodsThe exposure history of each participant (N = 1,392) was constructed by taking into account how much water they consumed (as water, in drinks and in food), sources of drinking water in their various residences over their lifetime, and the concentrations of arsenic in their various water supplies measured by Hydride Generation-Atomic Absorption Spectrometry (HG-AAS). Concentrations of arsenic in previous water supplies were either derived from contemporary analyses of the same source, or from routine historical data from measurements performed by the authorities in each country. Using this approach, 80% of the recorded lifetime residential history was matched to an arsenic concentration. Seven indices of current, life time, and peak exposure were calculated.

resultsThe exposure indices were all log-normally distributed and the mean and median lifetime average concentrations were in Hungary 14.7 and 13.3 microg l(-1), Romania 3.8 and 0.7 microg l(-1) and in Slovakia 1.9 and 0.8 microg l(-1), respectively. Overall 25% of the population had average concentrations over 10 microg l(-1) and 8% with exposure over 50 microg l(-1).

conclusionsCareful assessment of arsenic in drinking water supplies (both current and previous) enabled the majority of study participants' cumulative lifetime of potential exposure to arsenic in residential water to be characterised.

Indexed as

AdultAgedArsenicArsenic PoisoningCase-Control StudiesEnvironmental ExposureEuropeFemaleHealth BehaviorHumansMaleMiddle AgedNeoplasmsSocioeconomic FactorsWater Pollutants, ChemicalWater Pollution, ChemicalArsenicWater Pollutants, Chemical

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.