Evidence map›Paper›PMID 39932624›Full record

ArticleEnvironmental geochemistry and health2025

Development of optimisation methods to identify sources of pollution and assess potential health risks in the vicinity of antimony mines.

Dragan Čakmak, Veljko Perović, Dragana Pavlović, Marija Matić, Darko Jakšić, Samat Tanirbergenov, Pavle Pavlović

Abstract read
In one paragraph

Article in Environmental geochemistry and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Dragan ČakmakDepartment of Ecology, Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar Despota Stefana 142, 11108, Belgrade, Serbia. dragan.cakmak@ibiss.bg.ac.rs.ORCID https://orcid.org/0000-0002-2888-494X
Veljko PerovićDepartment of Ecology, Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar Despota Stefana 142, 11108, Belgrade, Serbia.
Dragana PavlovićDepartment of Ecology, Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar Despota Stefana 142, 11108, Belgrade, Serbia.
Marija MatićDepartment of Ecology, Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar Despota Stefana 142, 11108, Belgrade, Serbia.
Darko JakšićInstitute of Agricultural Economics, Volgina 15, 11060, Belgrade, Serbia.
Samat TanirbergenovDepartment of Agrochemistry and Soil Ecology, U.Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, 75 Al-Farabi Ave, 050060, Almaty, Kazakhstan.
Pavle PavlovićDepartment of Ecology, Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar Despota Stefana 142, 11108, Belgrade, Serbia.

Funding

Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-47/2023-01/200009Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-66/2024-03/ 200007
6 · The paper itself

Abstract

After elevated levels of lead (Pb) were found in the blood of children living near the antimony (Sb) mine and battery smelter in Zajača, Republic Serbia, studies were carried out to determine the health risk assessment (HRA) effects of the soil. In this study, for the first time a combination of Network Analysis, CoDA (Compositional Data Analysis) and receptor modelling was used to determine the geopedological and atmospheric origin of PTEs in soil and their historical significance. It was found that arsenic (As) and Pb are the main pollutants in the area. The largest contribution to the environmental risk (Er) was made by Pb. In addition to perception methods Network Analysis (NA) was used to determine the source of pollution and, for the first time, the strength of the positive and negative connections of the network nodes of the mutual influence of PTE. Lead pollution was found to originate from two sources: historical and present, and As was found to originate from a wider area. For the child population, an unacceptable risk for the occurrence of chronic diseases with a probability of 95% was found, with As and Pb accounting for the highest percentage. Similarly, As has the greatest impact on occurrence of cancer at the unacceptable risk level, while Pb is at the notable risk level. The historical exposure to Pb is slightly lower and the difference is slightly more pronounced for total pollution for HRA.

Indexed as

AntimonyEnvironmental ExposureEnvironmental MonitoringMiningSoil PollutantsArsenicChildHumansLeadRisk AssessmentSerbiaAntimonyArsenicLeadSoil PollutantsCompositional data analysisHealth risk factorisationNetwork analysisPotential toxic elementsReceptor models

Identifiers

PMID39932624
PMCPMC11814042

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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.