Evidence map›Paper›PMID 36806109›Full record

ArticleScientific reports2023

Association between levels of exposure to heavy metals and renal function indicators of residents in environmentally vulnerable areas.

Jung-Yeon Kwon, Seungho Lee, Ulziikhishig Surenbaatar, Hyoun-Ju Lim, Byoung-Gwon Kim, Sang-Yong Eom, Yong Min Cho, Woo Jin Kim, Byeng-Chul Yu, Kwan Lee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  6. Article
  7. Molecular Mechanisms of Cadmium-Induced Toxicity and Its Modification.International journal of molecular sciences · 2025
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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

11 authors at 6 institutions in 1 country.

Jung-Yeon KwonDepartment of Preventive Medicine, College of Medicine, Dong-A University, 32, Daesin Gongwon-ro, Seo-gu, Busan, 49201, Korea.
Seungho LeeDepartment of Preventive Medicine, College of Medicine, Dong-A University, 32, Daesin Gongwon-ro, Seo-gu, Busan, 49201, Korea.
Ulziikhishig SurenbaatarDepartment of Preventive Medicine, College of Medicine, Dong-A University, 32, Daesin Gongwon-ro, Seo-gu, Busan, 49201, Korea.
Hyoun-Ju LimBusan Environmental Health Center, Dong-A University, Busan, 49201, Korea.
Byoung-Gwon KimDepartment of Preventive Medicine, College of Medicine, Dong-A University, 32, Daesin Gongwon-ro, Seo-gu, Busan, 49201, Korea.
Sang-Yong EomDepartment of Preventive Medicine, College of Medicine, Chungbuk National University, Cheongju, 28644, Korea.
Yong Min ChoDepartment of Nano, Chemical and Biological Engineering, SeoKyeong University, Seoul, 02713, Korea.
Woo Jin KimDepartment of Internal Medicine and Environmental Health Center, Kang-Won National University, Chuncheon, 24341, Korea.
Byeng-Chul YuDepartment of Preventive Medicine, College of Medicine, Kosin University, Busan, 49267, Korea.
Kwan LeeDepartment of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju, 38066, Korea.
Young-Seoub HongDepartment of Preventive Medicine, College of Medicine, Dong-A University, 32, Daesin Gongwon-ro, Seo-gu, Busan, 49201, Korea. yshong@dau.ac.kr.
Dong-A University · KRChungbuk National University · KRDongguk University · KRKangwon National University · KRKosin University · KRSeokyeong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abandoned metal mines and refineries are considered environmentally vulnerable areas owing to high levels of exposure to heavy metals. This study examined the association between heavy metal exposure and renal function indicators. We studied a total of 298 participants, of which 74 and 68 resided in low- and high-exposure abandoned metal mine areas, respectively, with 121 in the refinery area and 35 in the control area. Blood and urine samples were collected from the participants to analyze the levels of blood lead, cadmium, and creatinine and urinary cadmium, NAG, and β2-MG. The estimated glomerular filtration rate, which is calculated using the Chronic Kidney Disease Epidemiology Collaboration equation, was used for assessments. The study participants comprised more females than males, and their mean age was 70.3 years. The blood lead and cadmium as well as urinary cadmium levels were 2.12 μg/dL, 1.89 μg/L, and 2.11 μg/L, respectively, in the heavy metal-exposure areas, and 1.18 μg/dL, 0.89 μg/L, and 1.11 μg/L, respectively, in the control area. The odds ratio (OR) for exceeding the reference value showed that blood cadmium in the refinery area was 38 times higher than that in the control area. Urinary cadmium was seven times higher in the low-exposure abandoned metal mine area than in the control area. NAG showed a positive correlation with urinary cadmium in all areas. In the refinery area, correlations were observed between β2-MG and urinary cadmium levels and the eGFR and blood cadmium level; in the high-exposure abandoned metal mine area, correlations were observed between NAG, β2-MG, and the eGFR and blood cadmium. In this study, the association between Cd exposure and some renal function indicators was observed. This study's findings and the obtained biological samples can serve as a basis for future molecular biological research.

Indexed as

CadmiumMetals, HeavyAgedCreatinineFemaleHumansKidneyMaleOdds RatioCadmiumCreatinineMetals, Heavy

Identifiers

PMID36806109
PMCPMC9938231
OpenAlexW4321213553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.