Evidence map›Paper›PMID 29981168›Full record

ArticleInternational journal of cancer2018

Potential effect modifiers of the arsenic-bladder cancer risk relationship.

Stella Koutros, Dalsu Baris, Richard Waddell, Laura E Beane Freeman, Joanne S Colt, Molly Schwenn, Alison Johnson, Mary H Ward, Gm Monawar Hosain, Lee E Moore and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Arsenic and cancer: Evidence and mechanisms.Advances in pharmacology (San Diego, Calif.) · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Arsenic and Obesity: a Review of Causation and Interaction.Current environmental health reports · 2020
    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

14 authors at 5 institutions in 2 countries.

Stella KoutrosDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.ORCID 0000-0001-5294-5485
Dalsu BarisDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Richard WaddellDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH.
Laura E Beane FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Joanne S ColtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Molly SchwennMaine Cancer Registry, Augusta, ME.
Alison JohnsonVermont Department of Health, Burlington, VT.
Mary H WardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Gm Monawar HosainNew Hampshire State Cancer Registry, Concord, NH.
Lee E MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Rachael Stolzenberg-SolomonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH.
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.
National Institutes of Health · USDartmouth College · USNational Cancer Registry · IENew Hampshire Hospital · USVermont Department of Health · US

Funding

VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
Occupational and Environmental Determinants of Cancer among Women and MinoritiesZIACP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HOFMANN, JONATHAN · 2009 to 2025
$8.3M
STUDIES OF OCCUPATIONAL CANCER--WOMEN AND MINORITIESZ01CP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CHOW, WONG · 1996 to 2008
$1.8M
INVESTIGATIONS OF ENVIRONMENTAL EXPOSURES AND CANCERZ01CP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CANTOR, KENNETH · 1996 to 2008
$108k
Intramural NIH HHS Z01 CP010123Intramural NIH HHS Z01 CP010125NIEHS NIH HHS P42 ES007373
6 · The paper itself

Abstract

Populations exposed to arsenic in drinking water have an increased bladder cancer risk and evidence suggests that several factors may modify arsenic metabolism, influencing disease risk. We evaluated whether the association between cumulative lifetime arsenic exposure from drinking water and bladder cancer risk was modified by factors that may impact arsenic metabolism in a population-based case-control study of 1,213 cases and 1,418 controls. Unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between cumulative arsenic intake and bladder cancer stratified by age, sex, smoking status, body mass index (BMI), alcohol consumption and folate intake. P-values for interaction were computed using a likelihood ratio test. We observed no statistically significant multiplicative interactions although some variations in associations were notable across risk factors, particularly for smoking and BMI. Among former smokers and current smokers, those with the highest cumulative arsenic intake had elevated risks of bladder cancer (OR = 1.4, 95% CI: 0.96-2.0 and OR = 1.6, 95% CI: 0.91-3.0, respectively; while the OR among never smokers was 1.1, 95% CI: 0.6-1.9, p-interaction = 0.49). Among those classified as normal or overweight based on usual adult BMI, the highest level of cumulative arsenic intake was associated with elevated risks of bladder cancer (OR = 1.3, 95% CI: 0.89-2.0 and OR = 1.6, 95% CI: 1.1-2.4, respectively), while risk was not elevated among those who were obese (OR = 0.9, 95% CI: 0.4-1.8) (p-interaction = 0.14). Our study provides some limited evidence of modifying roles of age, sex, smoking, BMI, folate and alcohol on arsenic-related bladder cancer risk that requires confirmation in other, larger studies.

Indexed as

AdultAgedArsenicBody Mass IndexCase-Control StudiesDrinking WaterFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioOverweightRisk FactorsSmokingUrinary Bladder NeoplasmsArsenicDrinking Water

Identifiers

PMID29981168
PMCPMC6235710
OpenAlexW2849101016

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.