Evidence map›Paper›PMID 37050957›Full record

ArticleFrontiers in public health2023

The relationship between urinary selenium levels and risk of gestational diabetes mellitus: A nested case-control study.

Yuanxia Liu, Hongmei Chen, Mengtian Zhang, Gangjiao Zhu, Yan Yang, Yuanyuan Li, Wei Lu, Hongling Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Yuanxia LiuCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Hongmei ChenSchool of Health and Nursing, Wuchang University of Technology, Wuhan, China.
Mengtian ZhangCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Gangjiao ZhuCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Yan YangCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Yuanyuan LiKey Laboratory of Environment and Health (HUST), Ministry of Education and Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei LuCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Hongling ZhangCollege of Medicine and Health, Wuhan Polytechnic University, Wuhan, China.
Wuhan Polytechnic University · CNHuazhong University of Science and Technology · CNWuchang University of Technology · CN

Funding

A nested case-control study of exposure to toxic metals, essential metals and their interaction on the risk of type 2 diabetesR01ES029082 · NIEHS · BROWN UNIVERSITY · PI LIU, SIMIN, YANA, BAI · 2019 to 2022
$2.1M
NIEHS NIH HHS R01 ES029082
6 · The paper itself

Abstract

Background: Selenium (Se) is an essential trace element for the human body. Serum Se and urinary Se are also biomarkers to assess Se exposure status. However, studies focusing on the association between urinary Se and the risk of gestational diabetes mellitus (GDM) are rare. Objective: To investigate the association between urinary Se and the risk of GDM. Methods: A nested case-control study based on a prospective birth cohort in Wuhan, China, which focuses on the effects of prenatal environmental factors exposure on pregnant women and children's health was conducted. Two hundred and twenty-six cases and 452 controls were included. Maternal urine samples were collected before GDM diagnosis, and the urinary Se levels were determined. We assessed the association of urinary Se with GDM by conditional logistic regression with maternal urinary Se level as a categorical variable, and estimated the association between Se and glucose levels by multiple linear regression. The potential modifier roles of maternal age and fetal sex have also been assessed. Results: Lower urinary level of Se was significantly associated with a higher risk of GDM (OR = 2.35 for the tertile 1, 95% CI:1.36-4.06; adjusted OR = 1.79 for the tertile 2, 95%CI:1.09-2.95; Discussion: Our study suggested a significant negative association between urinary Se and the risk of GDM, and this association may vary depending on the fetal sex.

Indexed as

Diabetes, GestationalSeleniumCase-Control StudiesChildFemaleHumansLogistic ModelsMalePregnancyProspective StudiesSeleniumfetal sexgestational diabetes mellitus (GDM)maternal agenested case–control studyurinary selenium

Identifiers

PMID37050957
PMCPMC10083259
OpenAlexW4360982776

What OpenQuestion holds

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LicenceCC BY
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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.