Evidence map›Paper›PMID 29793197›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2018

Association of low-moderate urine arsenic and QT interval: Cross-sectional and longitudinal evidence from the Strong Heart Study.

Katherine A Moon, Yiyi Zhang, Eliseo Guallar, Kevin A Francesconi, Walter Goessler, Jason G Umans, Lyle G Best, Barbara V Howard, Richard B Devereux, Peter M Okin and 1 more

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Personal exposure to PMEnvironmental science and pollution research international · 2021
    Article
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

11 authors at 5 institutions in 2 countries.

Katherine A MoonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: kmoon9@jhu.edu.
Yiyi ZhangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Eliseo GuallarDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kevin A FrancesconiInstitute for Chemistry-Analytical Chemistry, University of Graz, Graz, Austria.
Walter GoesslerInstitute for Chemistry-Analytical Chemistry, University of Graz, Graz, Austria.
Jason G UmansMedStar Health Research Institute, Hyattsville, MD, USA.
Lyle G BestMissouri Breaks Industries Research, Timber Lake, SD, USA.
Barbara V HowardMedStar Health Research Institute, Hyattsville, MD, USA.
Richard B DevereuxWeill Cornell Medicine, New York, NY, USA.
Peter M OkinWeill Cornell Medicine, New York, NY, USA.
Ana Navas-AcienDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Johns Hopkins University · USCornell University · USMedStar Health · USUniversity of Graz · ATMissouri Breaks Industries Research (United States) · US

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
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
CARDIOVASCULAR DISEASE IN SIOUX INDIANSU01HL041652 · NHLBI · U.S. PHS INDIAN HEALTH SERVICE · PI BEST, LYLE G · 1988 to 2013
$7.9M
CVD in American Indians Study and Data Management Center and OK Field CenterR01HL109284 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STONER, JULIE A · 2013 to 2018
$4.6M
CARDIOVASCULAR EVALUATION--STRONG HEART STUDY PHASE IVU01HL065521 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2000 to 2013
$4.3M
CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
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
NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109319NHLBI NIH HHS T32 HL007024NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065521NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R01 ES021367NIEHS NIH HHS R01 ES025216
6 · The paper itself

Abstract

Epidemiologic studies suggest that chronic exposure to arsenic is related to cardiovascular disease (CVD), but the pathophysiological link remains uncertain. We evaluated the association of chronic low-moderate arsenic exposure and arsenic metabolism with baseline difference and annual change in ECG measures (QT interval, JT interval, PR interval, QRS duration, and QT dispersion) using linear mixed models in the Strong Heart Study main cohort (N = 1174, median age 55 years) and family study (N = 1695 diabetes-free, median age 36 years). At baseline, arsenic exposure was measured as the sum of inorganic and methylated species in urine (ΣAs) and arsenic metabolism was measured as the relative percentage of arsenic species. Median ΣAs and Bazett heart rate-corrected QT interval (QTc) were 8.6 μg/g creatinine and 424 ms in the main cohort and 4.3 μg/g and 414 ms in the family study, respectively. In the main cohort, a comparison of the highest to lowest ΣAs quartile (>14.4 vs. <5.2 μg/g creatinine) was associated with a 5.3 (95% CI: 1.2, 9.5) ms higher mean baseline QTc interval but no difference in annual change in QTc interval. In the family study, a comparison of the highest to lowest quartile (>7.1 vs. <2.9 μg/g creatinine) was associated with a 3.2 (95% CI: 0.6, 5.7) ms higher baseline QTc interval and a 0.6 (95% CI: 0.04, 1.2) ms larger annual increase in QTc interval. Associations with JTc interval were similar but stronger in magnitude compared to QTc interval. Arsenic exposure was largely not associated with PR interval, QRS duration or QT dispersion. Similar to arsenic exposure, a pattern of lower %MMA and higher %DMA was associated with longer baseline QTc interval in both cohorts and with a larger annual change in QTc interval in the family study. Chronic low-moderate arsenic exposure and arsenic metabolism were associated with prolonged ventricular repolarization.

Indexed as

ArsenicCardiovascular DiseasesCohort StudiesCross-Sectional StudiesDiabetes MellitusElectrocardiographyEnvironmental ExposureEnvironmental PollutantsFemaleHeart RateHumansMaleMiddle AgedArsenicEnvironmental PollutantsArsenicCardiovascular diseaseElectrocardiologyLongitudinal cohortQT intervalVentricular repolarization

Identifiers

PMID29793197
PMCPMC6339816
OpenAlexW2803881600

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.