Evidence map›Paper›PMID 33387273›Full record

ArticleBiological trace element research2021

Reduced Serum Zinc Ion Concentration Is Associated with Coronary Heart Disease.

Heyu Meng, Yueying Wang, Fengfeng Zhou, Jianjun Ruan, Meiyu Duan, Xue Wang, Qiong Yu, Ping Yang, Weiwei Chen, Fanbo Meng

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

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  9. New Progress in Early Diagnosis of Atherosclerosis.International journal of molecular sciences · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Heyu MengJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China.
Yueying WangCancer Systems Biology Center, China-Japan Union Hospital of Jilin University, Changchun, 130033, China.
Fengfeng ZhouCancer Systems Biology Center, China-Japan Union Hospital of Jilin University, Changchun, 130033, China.
Jianjun RuanJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China.
Meiyu DuanBioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China.
Xue WangJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China.
Qiong YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Ping YangJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China.
Weiwei ChenJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China.
Fanbo MengJilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease; Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease; Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin, China. mengfb@jlu.edu.cn.ORCID http://orcid.org/0000-0002-1356-445X
Jilin University · CNUnion Hospital · CN

Funding

Jilin Provincial Health and Family Planning Commission 2018SCZ008
6 · The paper itself

Abstract

Imbalances in trace element concentrations in the blood as a result of poor nutrition may affect the development of coronary heart disease. To study the relationship between zinc ion concentration in the peripheral blood and coronary heart disease, we performed multiple logistic regression and hierarchical analyses on blood measurements of 3541 patients. The experimental group comprised 1253 patients diagnosed with coronary heart disease, and the control group included 2288 healthy patients. The zinc ion concentrations were measured by a color rendering method, and the results were analyzed using SPSS software. Fifteen laboratory quality evaluation samples from the Clinical Laboratory Center of the Chinese Ministry of Health were selected for analysis. The mean values and average bias were calculated. The estimated qualified judgment standard was < 1/2 TEa (the allowable total error for zinc). A hierarchical analysis of risk factors, including smoking, age, sex, and menopause in women, was performed. The results revealed that non-smoking, aging (especially postmenopausal women), and low blood zinc concentrations were independent risk factors for the development of coronary heart disease (P ≤ 0.05, zinc ion concentration less than 13.82 ± 2.91). The findings strongly suggest that decreased zinc ion concentrations in the peripheral blood can be used as an independent risk factor for the prediction of coronary heart disease, especially in older patients, non-smokers, and women, in particular, postmenopausal women.

Indexed as

Coronary DiseaseAgedFemaleHumansMenopauseRisk FactorsZincZincCoronary heart diseaseIndependent risk factorsMenopausal womenNon-smokersOlder patientsZinc ion concentration

Identifiers

PMID33387273
OpenAlexW3115384900

What OpenQuestion holds

Textmetadata
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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.