Evidence map›Paper›PMID 39069562›Full record

ArticleBiological trace element research2025

Association of Blood Metals and Metal Mixtures with the Myocardial Enzyme Profile: An Occupational Population-Based Study in China.

Xiaoting Ge, Junxiu He, Yuan Zheng, Qiuyue Wang, Hong Cheng, Yu Bao, Sencai Lin, Xiaobo Yang

Abstract read
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Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

8 authors.

Xiaoting Ge *School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Junxiu He *School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Yuan ZhengSchool of Public Health, Guangxi Medical University, Nanning, 530021, China.
Qiuyue WangSchool of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Hong ChengSchool of Public Health, Guangxi Medical University, Nanning, 530021, China.
Yu BaoSchool of Public Health, Guangxi Medical University, Nanning, 530021, China.
Sencai LinSchool of Public Health, Guangxi Medical University, Nanning, 530021, China.
Xiaobo YangSchool of Public Health, Guangxi Medical University, Nanning, 530021, China. yangx@gxmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2023MD744189National Natural Science Foundation of China 82304105Natural Science Foundation of Guangxi Zhuang Autonomous Region 2024GXNSFBA010177the innovation and entrepreneurship training program for college students 202410594050
6 · The paper itself

Abstract

To investigate a cross-sectional association between blood metal mixture and myocardial enzyme profile, we quantified creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LD), α-hydroxybutyrate dehydrogenase (α-HBD), and aspartate transaminase (AST) levels among participants from the manganese-exposed workers healthy cohort (MEWHC) (n = 544). The levels of 22 metals in blood cells were determined using inductively coupled plasma mass spectrometry. The least absolute shrinkage and selection operator (LASSO) penalized regression model was utilized for screening metals. The exposure-response relationship between specific metal and myocardial enzyme profile was identified by general linear regression and restricted cubic spline analyses. The overall effect and interactions were evaluated using Bayesian kernel machine regression (BKMR). Manganese was linearly and positively associated with CK (P

Indexed as

MetalsMyocardiumOccupational ExposureAdultAspartate AminotransferasesChinaCreatine KinaseCreatine Kinase, MB FormCross-Sectional StudiesFemaleHumansHydroxybutyrate DehydrogenaseL-Lactate DehydrogenaseMaleMiddle AgedAspartate AminotransferasesCreatine KinaseCreatine Kinase, MB FormHydroxybutyrate DehydrogenaseL-Lactate DehydrogenaseMetalsCardiac injuryManganeseMyocardial enzyme

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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.