Evidence map›Paper›PMID 20164002›Full record

ArticleEnvironmental health perspectives2010

Using residential history and groundwater modeling to examine drinking water exposure and breast cancer.

Lisa G Gallagher, Thomas F Webster, Ann Aschengrau, Verónica M Vieira

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025
    Review
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  10. Spatial measurement errors in the field of spatial epidemiology.International journal of health geographics · 2016
    Article
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  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Residential history and groundwater modeling.Environmental health perspectives · 2010
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Lisa G GallagherDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
Thomas F Webster
Ann Aschengrau
Verónica M Vieira
Boston University · USEnvironmental Health · GB

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MONTI, STEFANO · 1995 to 2019
$46.1M
A Temporal-Spatial Analysis of Breast Cancer in Upper C*R03CA119703 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI VIEIRA, VERONICA M · 2005 to 2006
$160k
NCI NIH HHS 5R03CA119703-02NCI NIH HHS R03 CA119703NIEHS NIH HHS 5P42 ES007381NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

backgroundSpatial analyses of case-control data have suggested a possible link between breast cancer and groundwater plumes in upper Cape Cod, Massachusetts.

objectiveWe integrated residential histories, public water distribution systems, and groundwater modeling within geographic information systems (GIS) to examine the association between exposure to drinking water that has been contaminated by wastewater effluent and breast cancer.

methodsExposure was assessed from 1947 to 1993 for 638 breast cancer cases who were diagnosed from 1983 to 1993 and 842 controls; we took into account residential mobility and drinking water source. To estimate the historical impact of effluent on drinking water wells, we modified a modular three-dimensional finite-difference groundwater model (MODFLOW) from the U.S. Geological Survey. The analyses included latency and exposure duration.

resultsWastewater effluent impacted the drinking water wells of study participants as early as 1966. For > 0-5 years of exposure (versus no exposure), associations were generally null. Adjusted odds ratios (AORs) for > 10 years of exposure were slightly increased, assuming latency periods of 0 or 10 years [AOR = 1.3; 95% confidence interval (CI), 0.9-1.9 and AOR = 1.6; 95% CI, 0.8-3.2, respectively]. Statistically significant associations were estimated for ever-exposed versus never-exposed women when a 20-year latency period was assumed (AOR = 1.9; 95% CI, 1.0-3.4). A sensitivity analysis that classified exposures assuming lower well-pumping rates showed similar results.

conclusionWe investigated the hypothesis generated by earlier spatial analyses that exposure to drinking water contaminated by wastewater effluent may be associated with breast cancer. Using a detailed exposure assessment, we found an association with breast cancer that increased with longer latency and greater exposure duration.

Indexed as

Environmental ExposureAgedAged, 80 and overBreast NeoplasmsFemaleFresh WaterHumansInterviews as TopicLogistic ModelsMassachusettsMiddle AgedOdds RatioRandom AllocationSurveys and QuestionnairesTime FactorsWater Pollutants, ChemicalWater Pollutants, Chemical

Identifiers

PMID20164002
PMCPMC2898849
OpenAlexW2068737489

What OpenQuestion holds

Textmetadata
LicenceCC0
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.