ArticleEnvironmental health perspectives2011
Estimating water supply arsenic levels in the New England Bladder Cancer Study.
Article in Environmental health perspectives, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Disinfection By-Products in Drinking Water and Bladder Cancer: Evaluation of Risk Modification by Common Genetic Polymorphisms in Two Case-Control Studies.Environmental health perspectives · 2022Pooled it
- Lifetime water arsenic, genetic susceptibility, and bladder cancer in the New England Bladder Cancer Study.JNCI cancer spectrum · 2025Article
- Quantitation of Arsenic in biological matrices: Use of Sector Field Inductively Coupled Plasma-Mass Spectrometry for Improved Accuracy and Specificity.Analytical letters · 2025Article
- Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer.Statistics in biosciences · 2024Article
- Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology.Cancer cytopathology · 2023Article
- Estimating cumulative spatial risk over time with low-rank kriging multiple membership models.Statistics in medicine · 2022Article
- Nitrate in Drinking Water during Pregnancy and Spontaneous Preterm Birth: A Retrospective Within-Mother Analysis in California.Environmental health perspectives · 2021Article
- Ingested Nitrate and Nitrite and Bladder Cancer in Northern New England.Epidemiology (Cambridge, Mass.) · 2020Article
- Potential effect modifiers of the arsenic-bladder cancer risk relationship.International journal of cancer · 2018Article
- Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States.Environmental science & technology · 2017Article
- Bladder Cancer and Water Disinfection By-product Exposures through Multiple Routes: A Population-Based Case-Control Study (New England, USA).Environmental health perspectives · 2017Article
- Variability in the chemistry of private drinking water supplies and the impact of domestic treatment systems on water quality.Environmental geochemistry and health · 2016Article
- Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic.Journal of the National Cancer Institute · 2016Article
- A Community-Driven Intervention in Tuftonboro, New Hampshire, Succeeds in Altering Water Testing Behavior.Journal of environmental health · 2015Article
- Assessment of Residential History Generation Using a Public-Record Database.International journal of environmental research and public health · 2015Article
- Estimated exposure to arsenic in breastfed and formula-fed infants in a United States cohort.Environmental health perspectives · 2015Article
- Nitrate variability in groundwater of North Carolina using monitoring and private well data models.Environmental science & technology · 2014Article
- Assessing exposure and health consequences of chemicals in drinking water: current state of knowledge and research needs.Environmental health perspectives · 2014Review
- Possible positive selection for an arsenic-protective haplotype in humans.Environmental health perspectives · 2013Article
- Rice consumption and urinary arsenic concentrations in U.S. children.Environmental health perspectives · 2012Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundIngestion of inorganic arsenic in drinking water is recognized as a cause of bladder cancer when levels are relatively high (≥ 150 µg/L). The epidemiologic evidence is less clear at the low-to-moderate concentrations typically observed in the United States. Accurate retrospective exposure assessment over a long time period is a major challenge in conducting epidemiologic studies of environmental factors and diseases with long latency, such as cancer.
objectiveWe estimated arsenic concentrations in the water supplies of 2,611 participants in a population-based case-control study in northern New England.
methodsEstimates covered the lifetimes of most study participants and were based on a combination of arsenic measurements at the homes of the participants and statistical modeling of arsenic concentrations in the water supply of both past and current homes. We assigned a residential water supply arsenic concentration for 165,138 (95%) of the total 173,361 lifetime exposure years (EYs) and a workplace water supply arsenic level for 85,195 EYs (86% of reported occupational years).
resultsThree methods accounted for 93% of the residential estimates of arsenic concentration: direct measurement of water samples (27%; median, 0.3 µg/L; range, 0.1-11.5), statistical models of water utility measurement data (49%; median, 0.4 µg/L; range, 0.3-3.3), and statistical models of arsenic concentrations in wells using aquifers in New England (17%; median, 1.6 µg/L; range, 0.6-22.4).
conclusionsWe used a different validation procedure for each of the three methods, and found our estimated levels to be comparable with available measured concentrations. This methodology allowed us to calculate potential drinking water exposure over long periods.
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Registered trials
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.