Evidence map›Paper›PMID 42676664›Full record

ArticleFrontiers in reproductive health2026

Metals and metal mixtures associated with the odds of uterine fibroid prevalence among African Caribbean women in the Tobago Health Study.

Alexis Kiyanda, Hoimonty Mazumder, Iva Miljkovic, Ryan Cvejkus, Janet Catov, Victor Wheeler, Patrick J Parsons, Elizabeth J Mullin, Austin A Roberts, Aaron Barchowsky and 2 more

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Alexis KiyandaDepartment of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Hoimonty MazumderDepartment of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Ryan CvejkusDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Janet CatovDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Victor WheelerDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Patrick J ParsonsDivision of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Albany, NY, United States.
Elizabeth J MullinDivision of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Albany, NY, United States.
Austin A RobertsDivision of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Albany, NY, United States.
Aaron BarchowskyDepartment of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Natalie Price *Department of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.
Alison P Sanders *Department of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States.

Funding

Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
Wadsworth Center's Human Health and Exposure Analysis Resource (WC-HHEAR)U2CES026542 · NIEHS · WADSWORTH CENTER · PI KANNAN, KURUNTHACHALAM, PARSONS, PATRICK J. · 2015 to 2025
$15.6M
Epidemiology of Obesity, Diabetes, and Hypertension in African CaribbeansR01HL143793 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA · 2018 to 2021
$2.7M
Dysfunctional skeletal muscle communication in arsenic-promoted cardiometabolic diseaseR01ES033519 · NIEHS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BARCHOWSKY, AARON · 2021 to 2025
$2.5M
NHLBI NIH HHS R01 HL143793NIEHS NIH HHS R01 ES033519NIEHS NIH HHS U2C ES026542NIEHS NIH HHS U2C ES026555
6 · The paper itself

Abstract

Uterine fibroids are the most common benign smooth muscle neoplasm of the uterine wall and are a major indication for hysterectomy. Although common risk factors include African Ancestry, family history, obesity, and early menarche, exposure to non-essential metals is an emerging risk factor that has not been previously examined in Caribbean populations. In this cross-sectional study, a sample of the prospective Tobago Health Study, we assessed associations between individual urinary concentrations of metals and metal mixtures with self-reported uterine fibroid prevalence among 441 women (40-87 years old). We used logistic regression to estimate associations between concentrations of six metals (non-essential metals-arsenic, cadmium, and lead; essential metals-copper, manganese, and zinc) individually and as a mixture with the odds of uterine fibroids. Models were adjusted for urinary creatinine, age, body mass index, education, and number of live childbirths. We assessed the effects of metal mixtures using weighted quantile sum regression. The rate of prevalence of uterine fibroids was 48.3%. In adjusted models, each 10-fold increase in µg/L urinary concentrations of total arsenic, dimethylarsinic acid, and arsenobetaine was associated with 61%, 84%, and 38% higher odds of uterine fibroids, respectively (

Indexed as

arsenicCaribbeanenvironmental healthmetal exposurereproductive healthTobagouterine fibroid

Identifiers

PMID42676664
PMCPMC13526914

What OpenQuestion holds

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Registered trials

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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.