Evidence mapPaperPMID 41621136Full record

ArticleEnvironment international2026

The role of coronary artery calcification in metal-related cardiovascular disease.

Arce Domingo-Relloso, Katlyn E McGraw, Irene Martinez-Morata, Yuchen Zhang, Kathrin Schilling, Ronald A Glabonjat, Ziqing Wang, Kiros Berhane, Brent A Coull, Marta Galvez-Fernandez and 9 more

Abstract read
In one paragraph

Article in Environment international, 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

5 · Who and what money

Authors and funding

19 authors.

Arce Domingo-RellosoDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; IE University School of Science and Technology, Madrid, Spain. Electronic address: ad3531@cumc.columbia.edu.
Katlyn E McGrawDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Irene Martinez-MorataDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Yuchen ZhangDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Kathrin SchillingDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Ronald A GlabonjatDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Ziqing WangDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Kiros BerhaneDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Marta Galvez-FernandezAstrazeneca, Madrid, Spain.
Miranda R JonesDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore MD, USA.
Wendy S PostDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore MD, USA.
Joel KaufmanDepartment of Medicine, University of Washington, Seattle, WA, USA.
Tiffany R SanchezDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Epidemiology, University of Colorado, Anschutz Medical Center, CO, USA.
Maria Tellez-PlazaDepartment of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Graham R BarrDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA.
Steven SheaDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Linda ValeriDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
Bayesian Statistical Learning for Robust and Generalizable Causal Inferences in Alzheimer Disease and Related Disorders ResearchR01AG077518 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Linda Valeri · 2023 to 2026
$2.2M
NIA NIH HHS R01 AG077518NIEHS NIH HHS P42 ES033719
6 · The paper itself

Abstract

Metals are associated with cardiovascular disease (CVD), but the underlying pathways remain largely unclear. We evaluated the potential intermediate role of coronary artery calcification (CAC) trajectory on the association between urinary metals and incident CVD, accounting for competing risks by death from other causes. We used data from 6,459 participants of the Multi-Ethnic Study of Atherosclerosis (MESA). CAC was measured longitudinally using the spatially weighted calcium score in five exams, starting in 2000. Participants were followed for CVD events through 2019. Cadmium, cobalt, copper, uranium, tungsten, and zinc were measured in urine at the baseline visit (2000-2002). We used a causal inference algorithm with a path-specific effects approach for longitudinal mediation analysis to evaluate the intermediate role of CAC on the association between metals and incident CVD. The association with incident CVD mediated through the CAC trajectory was statistically significant for cadmium, cobalt, copper, tungsten, and zinc. The number of CVD cases (95% CI) per 100,000 person-years attributable to an interquartile range (IQR) increase in metal levels through the longitudinal trajectory of CAC was 44 (20, 72) for cadmium, 21 (6, 39) for cobalt, 19 (2, 36) for copper, 18 (2, 38) for tungsten, and 43 (26, 62) for zinc. This study supports that part of the association between urinary metals and CVD is attributable to changes in CAC over time. In particular, half of the association between urinary cadmium and CVD might be mediated by longitudinal changes in CAC. This study could inform strategies for early detection and prevention of CVD based on urinary metal levels.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseMetalsAgedAged, 80 and overFemaleHumansMaleMiddle AgedZincMetalsZincCardiovascular diseaseCompeting risksCoronary artery calcificationLongitudinalMediation analysisMetals

Identifiers

PMID41621136
PMCPMC13033052

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.