Evidence map›Paper›PMID 33692484›Full record

ArticleJournal of exposure science & environmental epidemiology2021

Aggregated cumulative county arsenic in drinking water and associations with bladder, colorectal, and kidney cancers, accounting for population served.

Alison K Krajewski, Monica P Jimenez, Kristen M Rappazzo, Danelle T Lobdell, Jyotsna S Jagai

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
    Article
  8. Arsenic and cancer: Evidence and mechanisms.Advances in pharmacology (San Diego, Calif.) · 2023
    Article
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

5 authors.

Alison K KrajewskiOak Ridge Institute for Science and Education (ORISE) Postdoctoral Fellow at United States Environmental Protection Agency (US EPA), Research Triangle Park, NC, USA. krajewski.alison@epa.gov.
Monica P JimenezOak Ridge Associated Universities (ORAU) Student Services Contractor at US EPA, Research Triangle Park, NC, USA.
Kristen M RappazzoUS EPA, Office of Research and Development, Center for Public Health & Environmental Assessment, Research Triangle Park, NC, USA.
Danelle T LobdellUS EPA, Office of Research and Development, Center for Public Health & Environmental Assessment, Research Triangle Park, NC, USA.
Jyotsna S JagaiDivision of Environmental and Occupational Health Sciences, University of Illinois at Chicago, School of Public Health, Chicago, IL, USA.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Intramural EPA EPA999999NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

backgroundMany studies neglect to account for variation in population served by community water systems (CWSs) when aggregating CWS-level contaminant concentrations to county level.

objectiveIn an ecological epidemiologic analysis, we explored two methods-unweighted and weighted (proportion of CWS population served by county population)-to account for population served by CWS in association between arsenic and three cancers to determine the impact of population served on aggregated measures of exposure.

methodsCWS arsenic concentration data for 19 states were obtained from Centers for Disease Control and Prevention (CDC) National Environmental Public Health Tracking Network for 2000-10, aggregated to county level, and linked to county-level cancer data for 2011-5 from National Cancer Institute and CDC State Cancer Profiles. Negative binomial regression models estimated adjusted risk ratios (aRR) and 95% confidence intervals (CI) between county-level bladder, colorectal, and kidney cancers and quartiles of aggregated cumulative county-level arsenic concentration (ppb-years).

resultsWe observed positive associations between the highest quartile of exposure, compared to the lowest, of aggregated cumulative county-level arsenic concentration (ppb-year) for bladder [weighted aRR: 1.89(1.53, 2.35)], colorectal [1.64(1.33, 2.01)], and kidney [1.69(1.37, 2.09)] cancers. We observed stronger associations utilizing the weighted exposure assessment method. However, inferences from this study are limited due to the ecologic nature of the analyses and different analytic study designs are needed to assess the utility that the weighted by CWS population served metric has for exposure assessment. SIGNIFICANCE: Weighting by CWS population served accounts for some potential exposure assignment error in epidemiologic analysis.

Indexed as

ArsenicColorectal NeoplasmsDrinking WaterKidney NeoplasmsWater Pollutants, ChemicalEnvironmental ExposureHumansUrinary BladderArsenicDrinking WaterWater Pollutants, ChemicalArsenicBladder cancerCancerDrinking waterPopulation served

Identifiers

PMID33692484
PMCPMC8862296

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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.