Evidence map›Paper›PMID 34625714›Full record

ArticleJournal of exposure science & environmental epidemiology2022

A mass-balance model to assess arsenic exposure from multiple wells in Bangladesh.

Linden B Huhmann, Charles F Harvey, Ana Navas-Acien, Joseph Graziano, Vesna Slavkovich, Yu Chen, Maria Argos, Habibul Ahsan, Alexander van Geen

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Linden B HuhmannDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, 15 Vassar St, Cambridge, MA, USA.
Charles F HarveyDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, 15 Vassar St, Cambridge, MA, USA.
Ana Navas-AcienMailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, USA.
Joseph GrazianoMailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, USA.
Vesna SlavkovichMailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, USA.
Yu ChenNYU School of Medicine, 650 First Ave, New York, NY, USA.
Maria ArgosSchool of Public Health, University of Illinois, Chicago, IL, USA.
Habibul AhsanDepartment of Public Health Sciences, University of Chicago, 5841 South Maryland Avenue, Chicago, IL, USA.
Alexander van GeenLamont-Doherty Earth Observatory, Columbia University, Route 9W, Palisades, NY, USA. avangeen@ldeo.columbia.edu.

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Perkin-Elmer NexION-300D Inductively Coupled Mass Spectrometer (ICP-MS)S10OD016384 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GRAZIANO, JOSEPH H · 2014 to 2014
$181k
NIEHS NIH HHS P30 ES027792NIEHS NIH HHS P42 ES010349NIH HHS S10 OD016384
6 · The paper itself

Abstract

backgroundWater arsenic (As) sources beyond a rural household's primary well may be a significant source for certain individuals, including schoolchildren and men working elsewhere.

objectiveTo improve exposure assessment by estimating the fraction of drinking water that comes from wells other than the household's primary well in a densely populated area.

methodsWe use well water and urinary As data collected in 2000-2001 within a 25 km

resultsThe mass-balance model suggest that, on average, HEALS participants obtain 60-75% of their drinking water from their primary household wells and 25-40% from other wells, in addition to water from food and cellular respiration. Because of this newly quantified contribution from other wells, As in drinking water rather than rice was identified as the largest source of As exposure at baseline for HEALS participants with a primary household well containing ≤50 µg/L As. SIGNIFICANCE: Dose-response relationships for As based on water As should take into account other wells. The mass-balance approach could be applied to study other toxicants.

Indexed as

ArsenicDrinking WaterWater Pollutants, ChemicalBangladeshChildEnvironmental ExposureHumansLongitudinal StudiesMaleWater SupplyArsenicDrinking WaterWater Pollutants, ChemicalDietary ExposureGeospatial AnalysesPersonal Exposure

Identifiers

PMID34625714
PMCPMC8989717

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Registered trials

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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.