Evidence map›Paper›PMID 40175910›Full record

ArticleBMC pregnancy and childbirth2025

A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China.

Doudou Zhao, Jie Chen, Xiayang Li, Yishuai Huang, Yu Zhang, Fuyang Zhao, Danmeng Liu, Li Shan, Yang Mi, Lei Shang and 1 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Doudou ZhaoTranslational Medicine Center, Northwest Women's and Children's Hospital, Xi'an, China.
Jie ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Xiayang LiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yishuai HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Fuyang ZhaoSchool of Nursing, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China.
Danmeng LiuTranslational Medicine Center, Northwest Women's and Children's Hospital, Xi'an, China.
Li ShanDepartment of Gynecology, Northwest Women's and Children's Hospital, Xi'an, China.
Yang MiDepartment of Obstetrics, Northwest Women's and Children's Hospital, Xi'an, China. miyangmm@163.com.
Lei ShangDepartment of Health Statistics, Fourth Military Medical University, Xi'an, China. shanglei@fmmu.edu.cn.
Pengfei QuTranslational Medicine Center, Northwest Women's and Children's Hospital, Xi'an, China. xinxi3057@163.com.

Funding

Innovation Talents Promotion Program of Shaanxi Province 2023KJXX-109Key Research and Development Projects of Shaanxi Province 2024SF-YBXM-238; 2022ZDLSF02-11; 2021ZDLSF02-14National Natural Science Foundation of China 82103924Northwest Women's and Children's Hospital Incubation Scientific Research Project 2024FH03Strengthening Basic Disciplines Program of Xi'an City 22YXYJ0095
6 · The paper itself

Abstract

backgroundExposure to metals during early pregnancy may affect maternal glucose metabolism. We were aimed to assess the associations between early pregnancy whole blood concentrations of copper (Cu), zinc (Zn), calcium (Ca), iron (Fe), and magnesium (Mg) with GDM later in the second trimester among pregnant women in Northwest China.

methodsThis study included 5478 first-trimester pregnant women who participated in the birth cohort of the Northwest Women's and Children's Hospital between July 2018 and December 2023. Metal concentrations, basic demographic characteristics, lifestyle and behavior patterns were collected. An oral glucose tolerance test was performed in the second trimester. A generalized linear model was used to analyze the effects of metal concentrations on GDM. A two-piecewise regression model was adopted to examine the threshold effect and find out the turning point. Weighted Quantile Sum (WQS) regression was conducted using a dataset randomly split into training and validation sets at a 4:6 ratio to investigate the association between metal mixtures and GDM.

resultsCompared to the lowest tertile, the middle (RR = 0.82, 95%CI = 0.71, 0.95) and highest (RR = 0.84, 95%CI = 0.73, 0.97) tertiles of Ca concentrations could decrease the risk of GDM. However, the highest tertile of Cu concentration could increase the risk of GDM (RR = 1.18, 95%CI = 1.01, 1.39). Additionally, a non-linear relationship between Ca concentration with GDM and FPG was observed. The risk of GDM (RR = 0.08, 95%CI: 0.02, 0.31) and FPG (β=-0.56, 95%CI: -0.99, -0.12) decreased with 1 unit increase in ln-transformed Ca concentration below the turning point. However, the WQS index of maternal mixed metals was not correlated with the incidence of GDM (RR = 1.08, 95%CI = 0.98, 1.19).

conclusionsHigher Cu concentration during early pregnancy may increase the risk of GDM in mothers. Increased Ca concentration may reduce the risk of GDM and lower the concentration of FPG below the turning point. Our findings could provide an early marker for potentially modifiable risk factors associated with maternal glucose dysregulation during pregnancy.

Indexed as

Diabetes, GestationalMetalsPregnancy Trimester, FirstAdultBirth CohortBlood GlucoseCalciumChinaCopperFemaleGlucose Tolerance TestHumansIronMagnesiumPregnancyPregnancy Trimester, SecondBlood GlucoseCalciumCopperIronMagnesiumMetalsZincBlood glucoseCaCuGestational diabetes mellitusMetal levelThreshold effect

Identifiers

PMID40175910
PMCPMC11967153

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.