Evidence map›Paper›PMID 40463743›Full record

ArticleFrontiers in endocrinology2025

The association between metal element levels and thyroid nodules in oilfield workers: a cross-sectional study.

Xinyue Wen, Feidan Deng, Lichun Qiao, Miaoqian Li, Xining Wang, Hongqiu Li, Huifang He, Yanjun Xie, Zhaoyang Li, Bowei Yang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 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. Review
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.

Xinyue Wen *Ningxia Gem Flower Hospital, Health Management Center, Yinchuan, Ningxia, China.
Feidan Deng *Department of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Lichun QiaoDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Miaoqian LiDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xining WangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Hongqiu LiDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Huifang HeDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yanjun XieDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhaoyang LiDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Bowei YangNingxia Gem Flower Hospital, Health Management Center, Yinchuan, Ningxia, China.
Jing HanDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metal elements affect the physiological processes of the thyroid gland and are associated with the formation of thyroid nodules (TNs). This study aimed to investigate the relationship between metal element levels and TNs in oilfield workers and to provide a preliminary scientific basis. Methods: The study used a cross-sectional study to collect relevant data in 2022. Spearman's rank correlation was used to analyze the correlation between multiple metal elements. The Logistic regression model and Weighted Quantile Sum (WQS) regression model were used to analyze the association between metal elements and the prevalence of TNs. Results: A total of 517 oilfield workers were included in this study and the prevalence of TNs was 40.62%. Sex, age, and uric acid levels differed between the two groups ( Conclusions: TNs was found to be very prevalent among oilfield workers. Mixed exposure to metal elements may be associated with an elevated risk of TNs, with Fe and Cu emerging as potential contributors to this association.

Indexed as

MetalsOccupational DiseasesOccupational ExposureOil and Gas IndustryThyroid NoduleAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceMetalscopperironmetal elementsoilfield workerthyroid nodules

Identifiers

PMID40463743
PMCPMC12129806

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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.