Evidence map›Paper›PMID 41393292›Full record

ArticleFrontiers in endocrinology2025

Prevalence and risk factors of gestational diabetes mellitus in Nanning, Guangxi, China: a cross-sectional study.

Binlin Chen, Rui Jiang, Xiuhua Pan, Jing Huang

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Binlin ChenDepartment of Clinical Nutrition, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Rui JiangDepartment of Clinical Nutrition, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xiuhua PanDepartment of Clinical Nutrition, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jing HuangDepartment of Obstetrics, Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the prevalence of gestational diabetes mellitus (GDM), its associated risk factors, and perinatal outcomes among pregnant women in Nanning, the capital city of Guangxi, China. Methods: A retrospective analysis of a cross-sectional dataset was conducted using data from 2003 pregnant women who underwent prenatal care and completed a 75g oral glucose tolerance test (OGTT) at 24-28 weeks of gestation during the year 2021 at the Maternity and Child Health Care of Guangxi Zhuang Autonomous Region in Nanning. Demographic, anthropometric, and clinical data were collected. Statistical analyses included univariate analysis, multivariable logistic regression (adjusted for pre-pregnancy BMI, parity, educational level, and family history of diabetes), and restricted cubic spline (RCS) models to explore dose-response relationships. Results: A total of 375 cases of GDM were identified, yielding a prevalence of 18.72% (95% CI: 17.10%-20.34%). Women with GDM were significantly older (mean age: 31.62 vs. 30.62 years, Conclusions: The prevalence of GDM in Nanning, Guangxi, southern China is high. Older maternal age (≥30 years) and shorter stature (<159.0 cm) are independently associated with increased GDM risk in this urban population. These findings highlight the need for targeted screening and preventive strategies for high-risk groups in Nanning.

Indexed as

Diabetes, GestationalAdultChinaCross-Sectional StudiesFemaleGlucose Tolerance TestHumansPregnancyPrevalenceRetrospective StudiesRisk FactorsYoung AdultChinagestational diabetes mellitusheightmaternal ageNanningprevalencerisk factors

Identifiers

PMID41393292
PMCPMC12698477

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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.