Evidence map›Paper›PMID 28796632›Full record

SynthesisEnvironmental health perspectives2017

The Association of Arsenic Metabolism with Cancer, Cardiovascular Disease, and Diabetes: A Systematic Review of the Epidemiological Evidence.

Chin-Chi Kuo, Katherine A Moon, Shu-Li Wang, Ellen Silbergeld, Ana Navas-Acien

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 4 pooled it
21.8field-weighted citation impact, top 1% 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

142 citing papers in PubMed, 4 syntheses or guidelines pooled it, 312 citations in OpenAlex.

  1. Pooled it
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  3. Arsenic Exposure and Risk of Urothelial Cancer: Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2020
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82 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Chin-Chi KuoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA.
Katherine A MoonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA.
Shu-Li WangNational Institute of Environmental Health Sciences, National Health Research Institutes , Miaoli, Taiwan.
Ellen SilbergeldDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA.
Ana Navas-AcienDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA.
Johns Hopkins University · USNational Health Research Institutes · TW

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Arsenic Exposure, Genetic Determinants and Diabetes Risk in a Family StudyR01ES021367 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI NAVAS-ACIEN, ANA, VAIDYA, DHANANJAY MADHUKAR · 2012 to 2015
$2.4M
Arsenic, Epigenetics and Incident Cardiovascular Disease in American IndiansR01ES025216 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE, NAVAS-ACIEN, ANA · 2015 to 2018
$2.2M
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R01 ES021367NIEHS NIH HHS R01 ES025216
6 · The paper itself

Abstract

backgroundThe available evidence on the role of arsenic metabolism in individual susceptibility to the development of cancer, cardiovascular disease, and diabetes has not been formally and comprehensively reviewed.

objectivesOur goal was to systematically investigate the association of arsenic metabolism with cancer, cardiovascular disease, and diabetes-related outcomes in epidemiologic studies. As a secondary objective, we characterized the variation of arsenic metabolism in different populations worldwide.

methodsWe searched Medline/PubMed and EMBASE from inception to January 2016 and applied predetermined exclusion criteria. Compositional data analysis was used to describe the distribution of arsenic metabolism biomarkers and evaluate the association between arsenic exposure and metabolism.

resultsTwenty-eight studies met the inclusion criteria, 12 on cancer, nine on cardiovascular disease, and seven on diabetes-related outcomes. The median (interquartile range) for mean iAs%, MMA%, and DMA% was 11.2 (7.8-14.9)%, 13.0 (10.4-13.6)%, and 74.9 (69.8-80.0)%, respectively. Findings across studies suggested that higher arsenic exposure levels were associated with higher iAs% and lower DMA% and not associated with MMA%. For cancer, most studies found a pattern of higher MMA% and lower DMA% associated with higher risk of all-site, urothelial, lung, and skin cancers. For cardiovascular disease, higher MMA% was generally associated with higher risk of carotid atherosclerosis and clinical cardiovascular disease but not with hypertension. For diabetes-related outcomes, the pattern of lower MMA% and higher DMA% was associated with higher risk of metabolic syndrome and diabetes.

conclusionsPopulation level of iAs% and DMA%, but not MMA%, were associated with arsenic exposure levels. Overall, study findings suggest that higher MMA% was associated with an increased risk of cancer and cardiovascular disease, while lower MMA% was associated with an increased risk of diabetes and metabolic syndrome. Additional population-based studies and experimental studies are needed to further evaluate and understand the role of arsenic exposure in arsenic metabolism and the role of arsenic metabolism in disease development. https://doi.org/10.1289/EHP577.

Indexed as

ArsenicBiomarkersCardiovascular DiseasesDiabetes MellitusEnvironmental ExposureHumansIncidenceNeoplasmsRiskArsenicBiomarkers

Identifiers

PMID28796632
PMCPMC5880251
OpenAlexW2743751242

What OpenQuestion holds

Textmetadata
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.