Evidence map›Paper›PMID 42429992›Full record

ArticleEnvironmental geochemistry and health2026

Assessment of potentially toxic elements in mine tailings and their categorization and prioritization as environmental liabilities in gold mining areas of Antioquia, Colombia.

Sebastian Collazo, Esteban Vélez, Juan D Correa, Juan F Marín, Juan F Saldarriaga, Julián E López

Abstract read
In one paragraph

Article in Environmental geochemistry and 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
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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

6 authors.

Sebastian CollazoFaculty of Architecture and Engineering, Study Group SICA-GeoHealth, Semillero de Investigación SICA, Institución Universitaria Colegio Mayor de Antioquia, Carrera 78 # 65-46, 050034, Medellín, Colombia.
Esteban VélezFaculty of Architecture and Engineering, Study Group SICA-GeoHealth, Semillero de Investigación SICA, Institución Universitaria Colegio Mayor de Antioquia, Carrera 78 # 65-46, 050034, Medellín, Colombia.
Juan D CorreaFaculty of Architecture and Engineering, Study Group SICA-GeoHealth, Semillero de Investigación SICA, Institución Universitaria Colegio Mayor de Antioquia, Carrera 78 # 65-46, 050034, Medellín, Colombia.
Juan F MarínFaculty of Architecture and Engineering, Study Group SICA-GeoHealth, Semillero de Investigación SICA, Institución Universitaria Colegio Mayor de Antioquia, Carrera 78 # 65-46, 050034, Medellín, Colombia.
Juan F SaldarriagaDepartment of Civil and Environmental Engineering, Universidad de los Andes, Carrera 1Este #19A-40, 111711, Bogotá, Colombia.
Julián E LópezFaculty of Architecture and Engineering, Study Group SICA-GeoHealth, Semillero de Investigación SICA, Institución Universitaria Colegio Mayor de Antioquia, Carrera 78 # 65-46, 050034, Medellín, Colombia. julian.lopez@colmayor.edu.co.ORCID https://orcid.org/0000-0002-7845-7444

Funding

Institución Universitaria Colegio Mayor de Antioquia [FAI145][FAI168]
6 · The paper itself

Abstract

In El Bagre, Nechí, Zaragoza, and three other municipalities that comprise the Bajo Cauca region of Antioquia, an estimated total of 28.000 ha have been affected by illegal gold mining, where environmental liabilities such as mine tailings are distributed throughout the area. Urban areas, especially the main urban centers, may be exposed to environmental contaminants and their associated adverse effects. Studies that contribute to the characterization and prioritization of environmental liabilities are necessary to improve environmental management and public policies. The aim of this study was to assess the presence of As, Cd, Cr, and Pb associated with mine tailings in El Bagre, Nechí, and Zaragoza and to implement a methodology for their characterization and prioritization through the calculation of risk index (RI) values. The RI considered both the concentrations of potentially toxic elements (PTEs) and the proximity of mine tailings to sensitive receptors, including urban areas and environmental features such as surface water bodies. Spatial distribution maps of PTE concentrations and RI values were subsequently developed to identify priority environmental liabilities for management. One of the main results of the study is the identification of five mining tailings as prioritized environmental liabilities for environmental management, which was unknown prior to the completion of this study. No environmental liabilities classified as high risk were identified in any of the three municipalities. In El Bagre, 9/11 environmental liabilities were classified as low risk, while 2/11 were classified as medium risk. In Zaragoza, 4/7 environmental liabilities were classified as low risk and 3/7 as medium risk. In Nechí, 6/6 environmental liabilities were classified as low risk. To the best of our knowledge, this study is the first to apply a methodology for the classification and prioritization of mining tailings in the study area. Another important result was the spatial mapping of the distribution of PTEs across the three municipalities, as this outcome allows the spatial identification of PTE concentrations and serves as an input for environmental planning of the territories. In conclusion, the results provide scientific evidence that will contribute to the development of a methodology for the categorization and prioritization of environmental liabilities associated with gold mining, serving as a resource for environmental authorities and guiding decision-making based on scientific and technical evidence.

Indexed as

Environmental MonitoringGoldMetals, HeavyMiningColombiaRisk AssessmentGoldMetals, HeavyEl BagreEnvironmental managementHeavy metalsMining wasteNechíZaragoza

Identifiers

PMID42429992
PMCPMC13354650

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LicenceCC BY
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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.