Evidence map›Paper›PMID 38104305›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2024

Maternal Height Is an Independent Risk of Adverse Outcomes in Women with Gestational Diabetes Mellitus.

Mengkai Du, Marie Parfaite Uwimana Muhuza, Yibo Tang, Yanmin Chen, Danqing Chen, Lixia Zhang, Zhaoxia Liang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2024. 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, top 68% 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, 0 citations in OpenAlex.

  1. Article
  2. Genetic confounding in the associations between maternal health and autism.medRxiv : the preprint server for health sciences · 2026
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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

7 authors at 1 institution in 1 country.

Mengkai Du *Obstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Marie Parfaite Uwimana Muhuza *Obstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Yibo Tang *Obstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Yanmin ChenObstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Danqing ChenObstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Lixia ZhangObstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China. 5320013@zju.edu.cn.
Zhaoxia LiangObstetrical Department, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, 310006, China. xiaozaizai@zju.edu.cn.ORCID http://orcid.org/0000-0001-8571-3269
Women's Hospital, School of Medicine, Zhejiang University · CN

Funding

Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg ZDFY2022-4XB101Key Research and Development program of Zhejiang 2022C03058Medical and Health Technology Program of Zhejiang Province WKJ-ZJ-2324
6 · The paper itself

Abstract

introductionMaternal height has been shown to be associated with adverse outcomes in women with gestational diabetes mellitus (GDM). The aim of this study is to evaluate the association between maternal height and adverse outcomes stratified for gestational weight gain (GWG) and pre-pregnancy body mass index (BMI) in women with GDM.

methodsWe conducted a retrospective study that included 2048 women diagnosed with GDM during 24-28 gestational weeks from July 1, 2017, to June 30, 2018, in Zhejiang Province, China. Demographic data, maternal characteristics and pregnancy complications were extracted from medical records. Maternal height was divided into three categories by tertiles. Chi-square was used to evaluate categorical data while one-way ANOVA was utilized to analyze continuous variables. The relationship between maternal height and adverse outcomes was examined using logistic regression.

resultsWe found that shorter women had higher rates of low birth weight (LBW) (p = 0.003) and primary cesarean section (primary CS) (p < 0.001) while taller women had higher rates of abnormal neonatal ponderal index (p < 0.001), postpartum hemorrhage (p = 0.044) and macrosomia (p < 0.001). In taller women who had excess GWG, maternal height was positively associated with the risk of macrosomia (aOR 1.97, 95% CI 0.95-4.10). In shorter women who had inadequate GWG, maternal height was significantly associated with LBW (aOR 2.20, 95% CI 1.13-4.29) and primary CS (aOR 2.08, 95% CI 1.38-3.12). Maternal height was a protective factor of postpartum hemorrhage (aOR 0.15, 95% CI 0.03-0.72) in shorter women with excess GWG. In women with normal pre-pregnancy BMI, maternal height was positively associated with LBW (aOR 2.00, 95% CI 1.15-3.49) and primary CS (aOR 1.71, 95% CI 1.28-2.28) in shorter women while it was negatively associated with the risk of abnormal neonatal ponderal index in both shorter and taller women compared to average height women (aOR 0.71, 95% CI 0.55-0.92; aOR 0.66, 95% CI 0.51-0.85).

conclusionThe association between maternal height and adverse pregnancy outcomes varies with pre-pregnancy BMI and GWG in GDM women. Taking maternal height, pre-pregnancy BMI and GWG into account and using personalized prenatal management may reduce the risk of adverse pregnancy outcomes in GDM.

Indexed as

Adverse pregnancy outcomesGestational diabetes mellitusGestational weight gainMaternal heightPre-pregnancy body mass index

Identifiers

PMID38104305
PMCPMC10838893
OpenAlexW4389857359

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LicenceCC BY-NC
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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.