Evidence map›Paper›PMID 26690190›Full record

SynthesisInternational journal of environmental research and public health2015

A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water.

Steven H Lamm, Hamid Ferdosi, Elisabeth K Dissen, Ji Li, Jaeil Ahn

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2026
    Review
  3. Benchmark dose modeling for epidemiological dose-response assessment using case-control studies.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  4. Article
  5. Article
  6. Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studies.Risk analysis : an official publication of the Society for Risk Analysis · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Curcumin prevents AsChinese medicine · 2021
    Article
  13. Rare, Protein-Altering Variants inEnvironmental health perspectives · 2021
    Article
  14. Article
  15. Prostate Cancer Incidence in U.S. Counties and Low Levels of Arsenic in Drinking Water.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
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 at 4 institutions in 1 country.

Steven H LammCenter for Epidemiology and Environmental Health, Consultants in Epidemiology and Occupational Health (CEOH), Washington, DC 20016, USA. Steve@CEOH.com.
Hamid FerdosiCenter for Epidemiology and Environmental Health, Consultants in Epidemiology and Occupational Health (CEOH), Washington, DC 20016, USA. Hamid@CEOH.com.
Elisabeth K DissenCenter for Epidemiology and Environmental Health, Consultants in Epidemiology and Occupational Health (CEOH), Washington, DC 20016, USA. Elisabeth.Dissen@gmail.com.
Ji LiDepartment of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MA 28217, USA. JLi42@JHMI.edu.
Jaeil AhnDepartment of Biostatistics, Bioinformatics, and Biomathematics, School of Medicine, Georgetown University, Washington, DC 20057, USA. JA1030@Georgetown.edu.
Bloomberg (United States) · USGeorgetown University · USJohns Hopkins University · USMilken Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High levels (> 200 µg/L) of inorganic arsenic in drinking water are known to be a cause of human lung cancer, but the evidence at lower levels is uncertain. We have sought the epidemiological studies that have examined the dose-response relationship between arsenic levels in drinking water and the risk of lung cancer over a range that includes both high and low levels of arsenic. Regression analysis, based on six studies identified from an electronic search, examined the relationship between the log of the relative risk and the log of the arsenic exposure over a range of 1-1000 µg/L. The best-fitting continuous meta-regression model was sought and found to be a no-constant linear-quadratic analysis where both the risk and the exposure had been logarithmically transformed. This yielded both a statistically significant positive coefficient for the quadratic term and a statistically significant negative coefficient for the linear term. Sub-analyses by study design yielded results that were similar for both ecological studies and non-ecological studies. Statistically significant X-intercepts consistently found no increased level of risk at approximately 100-150 µg/L arsenic.

Indexed as

ArsenicDose-Response Relationship, DrugDrinking WaterHumansLung NeoplasmsModels, StatisticalRegression AnalysisRisk AssessmentRisk FactorsWater Pollutants, ChemicalArsenicDrinking WaterWater Pollutants, Chemicalarsenicdose-responsedrinking waterlung cancerrisk analysis

Identifiers

PMID26690190
PMCPMC4690926
OpenAlexW2185495450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.