Evidence map›Paper›PMID 40771282›Full record

ArticleFrontiers in endocrinology2025

Genetic variants in

Lijie Nie, Yan Sun, Ruiqi Li, Qiulian Liang, Guocun Deng, Xinyu He, Yifei Zeng, Hui Zheng, Xinhe Xiao, Xiaodong Ding and 2 more

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Lijie Nie *The School of Public Health, Guilin Medical University, Guilin, China.
Yan Sun *The School of Public Health, Guilin Medical University, Guilin, China.
Ruiqi Li *The School of Public Health, Guilin Medical University, Guilin, China.
Qiulian LiangThe School of Public Health, Guilin Medical University, Guilin, China.
Guocun DengThe School of Public Health, Guilin Medical University, Guilin, China.
Xinyu HeThe School of Public Health, Guilin Medical University, Guilin, China.
Yifei ZengThe School of Public Health, Guilin Medical University, Guilin, China.
Hui ZhengThe School of Public Health, Guilin Medical University, Guilin, China.
Xinhe XiaoThe School of Public Health, Guilin Medical University, Guilin, China.
Xiaodong DingThe School of Public Health, Guilin Medical University, Guilin, China.
Jian HuangInstitute of Biomedical Research, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin, China.
Xiangyuan YuThe School of Public Health, Guilin Medical University, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) is an endocrine disorder that occurs easily in women during pregnancy. Objective: To explore the associations between single nucleotide polymorphisms (SNPs) in Methods: Seven functional SNPs of Results: Compared to those with 0-1 risk genotypes, individuals with 2-7 unfavorable genotypes presented an increased risk of GDM (adjusted OR = 1.54, 95% CI=1.04-2.28, Conclusions: The genetic variations in the

Indexed as

Diabetes, GestationalGenetic Predisposition to DiseaseHLA-DQ alpha-ChainsHLA-DQ beta-ChainsPolymorphism, Single NucleotideAdultCase-Control StudiesChinaEast Asian PeopleFemaleGenotypeHaplotypesHumansPregnancyRisk FactorsHLA-DQA1 antigenHLA-DQ alpha-ChainsHLA-DQB1 antigenHLA-DQ beta-Chainsgene-gene interactiongestational diabetes mellitusHLA-DQA1/DQB1riskvariant

Identifiers

PMID40771282
PMCPMC12325038

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.