Evidence map›Paper›PMID 34234533›Full record

ArticleInternational journal of general medicine2021

Association of Normal-Range Hemoglobin A1c Value During Midpregnancy with Adverse Birth Outcomes.

Lihua Zhang, Ruixia Zhai, Zhiyu Huo, Zhenyan Wei, Ziheng Zhang, Ruirui Wei, Dongmei Man

Abstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Lihua ZhangDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Ruixia ZhaiDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Zhiyu HuoDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Zhenyan WeiDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Ziheng ZhangCollege of Clinical Medicine, Jining Medical University, Jining, Shandong, People's Republic of China.
Ruirui WeiDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Dongmei ManDepartment of Obstetrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe midpregnancy normal-range HbA1c value and adverse birth outcomes were controversial. To address this lack of data, we examined the associations between midpregnancy normal-range HbA1c value and adverse birth outcomes.

objectiveTo evaluate whether an association exists between the midpregnancy normal-range HbA1c value and adverse birth outcomes. MATERIALS AND

methodsA total of 8389 women in their midpregnancy with normal gestational HbA1c value from the Affiliated Hospital of Jining Medical University in China participated in this study from January to December 2019. Subjects were stratified on the basis of their midpregnancy HbA1c value, and multivariate logistic regression was implemented to investigate the association between different HbA1c values and adverse birth outcomes.

resultsIncidence of preterm birth, macrosomia, and large for gestational age (LGA) for 8389 subjects were 4.8%, 6.3% and 16.5%, respectively. The multivariate logistic regression model demonstrated that the risk of preterm birth (adjusted odds ratio [OR]: 1.71 and 95% confidence interval [CI]: 1.25-2.34), macrosomia (OR: 1.68 and 95% CI: 1.26-2.22), and LGA (OR: 1.53 and 95% CI: 1.28-1.83) increase for every increase of 1% maternal HbA1c. Women with a prepregnancy body mass index (BMI) of < 25 kg/m

conclusionOur results indicated that the midpregnancy normal-range HbA1c level within the normal range is associated with adverse birth outcomes. Monitoring and controlling HbA1c may reduce the risk of adverse birth outcomes.

Indexed as

adverse birth outcomeshemoglobin A1cmidpregnancynormal-rangepregnant women

Identifiers

PMID34234533
PMCPMC8256093

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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.