Evidence map›Paper›PMID 21982028›Full record

ArticleEnvironment international2012

Arsenic in North Carolina: public health implications.

Alison P Sanders, Kyle P Messier, Mina Shehee, Kenneth Rudo, Marc L Serre, Rebecca C Fry

Abstract read
In one paragraph

Article in Environment international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Alzheimer's Disease Risk AllelebioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Worldwide Surveillance Actions and Initiatives of Drinking Water Quality: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Association of urinary arsenic and sleep disorder in the US population: NHANES 2015-2016.Environmental science and pollution research international · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors.

Alison P SandersDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, United States. apsander@unc.edu
Kyle P Messier
Mina Shehee
Kenneth Rudo
Marc L Serre
Rebecca C Fry

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
ENVIRONMENTAL PATHOLOGYT32ES007017 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAUFMAN, DAVID G. · 1985 to 2011
$5.1M
In utero exposure to arsenic, links to epigenetic alterations and diseaseR01ES019315 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 2010 to 2014
$2.3M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30-ES010126NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42-ES005948NIEHS NIH HHS R01 ES019315NIEHS NIH HHS T32-ES007017
6 · The paper itself

Abstract

Arsenic is a known human carcinogen and relevant environmental contaminant in drinking water systems. We set out to comprehensively examine statewide arsenic trends and identify areas of public health concern. Specifically, arsenic trends in North Carolina private wells were evaluated over an eleven-year period using the North Carolina Department of Health and Human Services database for private domestic well waters. We geocoded over 63,000 domestic well measurements by applying a novel geocoding algorithm and error validation scheme. Arsenic measurements and geographical coordinates for database entries were mapped using Geographic Information System techniques. Furthermore, we employed a Bayesian Maximum Entropy (BME) geostatistical framework, which accounts for geocoding error to better estimate arsenic values across the state and identify trends for unmonitored locations. Of the approximately 63,000 monitored wells, 7712 showed detectable arsenic concentrations that ranged between 1 and 806μg/L. Additionally, 1436 well samples exceeded the EPA drinking water standard. We reveal counties of concern and demonstrate a historical pattern of elevated arsenic in some counties, particularly those located along the Carolina terrane (Carolina slate belt). We analyzed these data in the context of populations using private well water and identify counties for targeted monitoring, such as Stanly and Union Counties. By spatiotemporally mapping these data, our BME estimate revealed arsenic trends at unmonitored locations within counties and better predicted well concentrations when compared to the classical kriging method. This study reveals relevant information on the location of arsenic-contaminated private domestic wells in North Carolina and indicates potential areas at increased risk for adverse health outcomes.

Indexed as

AlgorithmsArsenicBayes TheoremDatabases, FactualDrinking WaterGeographic Information SystemsNorth CarolinaPublic HealthUnited StatesUnited States Environmental Protection AgencyWater Pollutants, ChemicalArsenicDrinking WaterWater Pollutants, Chemical

Identifiers

PMID21982028
PMCPMC3539775

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.