Evidence map›Paper›PMID 40091096›Full record

ArticleBiological trace element research2025

A Case-Control Study of Association Between Serum Levels of 19 Trace Elements with Prostate Cancer in Southwest China.

Maoling Zhan, Yujing Chuai, Xiaotao Zhou, Jia Li, Xianghong Zhou, Zilong Zhang, Yuming Jin, Weichao Huang, Xinyi Huang, Siqing He and 3 more

Abstract read
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In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Maoling ZhanDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Yujing ChuaiDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Xiaotao ZhouDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Jia LiDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Xianghong ZhouDepartment of Urology, Institute of Urology and Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Zilong ZhangDepartment of Urology, Institute of Urology and Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Yuming JinDepartment of Urology, Institute of Urology and Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Weichao HuangDepartment of Urology, Institute of Urology and Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Xinyi HuangDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Siqing HeDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Hongyan ZengDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China.
Shi QiuDepartment of Urology, Institute of Urology and Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. qiushi@scu.edu.cn.
Xiaoli ZouDepartment of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, 610041, China. zouxl_1113@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most prevalent urological malignancy, exhibiting the highest incidence and the second-highest mortality among all male cancers. The incidence of PCa in men in China is consistently rising. Studies have shown that elemental exposure levels are associated with the occurrence of PCa. However, epidemiological data are limited, and more researches on different regions and races are needed. To clarify the relationship between the occurrence of PCa and serum levels of 19 trace elements. Serum samples from 79 PCa patients and 74 male healthy controls were obtained, and the levels of 19 trace elements were measured using inductively coupled plasma mass spectrometry (ICP-MS). Baseline matching of key demographic characteristics was performed between the two groups. The relationship between serum trace elements levels and PCa, prostate-specific antigen (PSA), and PCa staging were evaluated using the Mann-Whitney U test, logistic regression, and Spearman's correlation analysis. Statistical analysis of the test results revealed that the low levels of Cu, Zn, and Se in serum may be associated with the development of PCa. Moreover, the changes in the interrelationship of trace elements may play a role in the development of PCa.

Indexed as

Prostatic NeoplasmsTrace ElementsAgedCase-Control StudiesChinaHumansMaleMiddle AgedProstate-Specific AntigenProstate-Specific AntigenTrace ElementsICP-MSPCaSerum levelsTrace element

Identifiers

PMID40091096

What Socratic holds

Textmetadata
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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 Socratic graph.