Evidence map›Paper›PMID 32324966›Full record

ArticleJournal of diabetes investigation2020

Excessive gestational weight gain in the first and second trimester is a risk factor for gestational diabetes mellitus among women pregnant with singletons: A repeated measures analysis.

Yana Qi, Xin Sun, Jing Tan, Guiting Zhang, Meng Chen, Yiquan Xiong, Peng Chen, Chunrong Liu, Kang Zou, Xinghui Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

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  15. Epigenetic Links between Microbiota and Gestational Diabetes.International journal of molecular sciences · 2022
    Review
  16. Article
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  18. Gestational Diabetes Mellitus: A Harbinger of the Vicious Cycle of Diabetes.International journal of molecular sciences · 2020
    Review
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

10 authors at 1 institution in 1 country.

Yana QiChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-4287-7348
Xin SunChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Jing TanChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-8839-6705
Guiting ZhangChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Meng ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Yiquan XiongChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Peng ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Chunrong LiuChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Kang ZouChinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Xinghui LiuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Sichuan University · CN

Funding

National Key Research and Development Program of Reproductive Health & Major Birth Defects Control and Prevention 2016YFC1000406National Natural Science Foundation of China 71704122,71974138National Science and Technology Major Project 2018ZX10302206-004-005
6 · The paper itself

Abstract

AIMS/

introductionTo evaluate gestational weight gain (GWG) in the first and second trimester as a risk factor for gestational diabetes mellitus (GDM) among women pregnant with singletons. MATERIALS AND

methodsThis was a cohort study of women with singleton pregnancies who delivered between 1 January 2013 and 31 October 2014 in a Chinese hospital. We collected data from medical records from the first antenatal visit to delivery. All pregnant women were subjected to an oral glucose tolerance test for diagnosis of GDM during the second trimester. GWG in the first and second trimester was calculated by subtracting the prepregnancy weight from weight within 4 weeks of the oral glucose tolerance test. We categorized GWG into insufficient, appropriate and excessive according to the Institute of Medicine guidelines and population quantiles. Univariable and multivariable analyses were used to determine the association between GWG and GDM risk.

resultsOf 10,422 pregnant women, we identified 8,356 eligible women with 1,622 (19.4%) diagnosed with GDM. Univariable analysis showed that GWG that exceeded the Institute of Medicine recommendation might be associated with risk of GDM (P < 0.05), but this association was not observed by multivariable analysis (adjusted odds ratio 1.07, [95% confidence interval 0.94-1.21]). Univariable and multivariable analyses both showed that GWG exceeding the 90th and 95th quantiles of included women, respectively, were at increased risk for GDM (adjusted odds ratio >P

conclusionsExcessive GWG in the first and second trimester might be a risk factor for GDM, which highlights the importance of appropriate weight gain during pregnancy.

Indexed as

Body Mass IndexGestational Weight GainPregnancy Trimester, FirstPregnancy Trimester, SecondAdultBiomarkersBlood GlucoseChinaDiabetes, GestationalFemaleFollow-Up StudiesHumansMiddle AgedPregnancyPrognosisRetrospective StudiesBiomarkersBlood GlucoseChinaGestational diabetes mellitusGestational weight gain

Identifiers

PMID32324966
PMCPMC7610133
OpenAlexW3019689964

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.