Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology - 1 Dec 2024

Li Ying, Zhong Xinli, Yang Mengjiao, Yuan Lu, Wang Dandan, Li Ting, Guo Yanying

Abstract excerpt

BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors. METHODS: A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to gather general data. Serum test results were collected from the laboratory information system....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Glucose
Share to Diabetes, Gestational

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Logistic Models

Share to Pregnancy

Share to Risk Assessment

Share to Risk Factors

Share to ROC Curve

Share to Surveys and Questionnaires

Source

Identifiers

PMID: 38963181
DOI: 10.1080/01443615.2024.2372665

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.PMID 38963181Read ↗

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in ChinaSemantic proximity Read ↗

Gestational Diabetes Mellitus: The Genetic Susceptibility Behind the Disease.Semantic proximity Read ↗

Development and Validation of a Multidimensional Indicator-Based Risk Prediction Model for Gestational Diabetes Mellitus: A Nested Case-Control StudySemantic proximity Read ↗

Genetic determinants of gestational diabetes mellitus: a case-control study in two independent populations.Semantic proximity Read ↗

Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant WomenSemantic proximity Read ↗

Functional genetic variants and susceptibility and prediction of gestational diabetes mellitus.Semantic proximity Read ↗

Genetic studies of gestational diabetes mellitus in 21,813 Chinese womenSemantic proximity Read ↗

A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women.Semantic proximity Read ↗

Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease PathogenesisSemantic proximity Read ↗

Predictive Utility of Biochemical Markers for the Diagnosis and Prognosis of Gestational Diabetes MellitusSemantic proximity Read ↗

Genome-wide association and Mendelian randomisation analysis among 30,699 Chinese pregnant women identifies novel genetic and molecular risk factors for gestational diabetes and glycaemic traitsSemantic proximity Read ↗

Genetic Architecture and Risk Prediction of Gestational Diabetes Mellitus in over 116,144 Chinese PregnanciesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.