Evidence map›Paper›PMID 39653580›Full record

ArticleBMJ open2024

Risk factors of large for gestational age among pregnant women with gestational diabetes mellitus: a protocol for systematic review and meta-analysis.

Yingni Liang, Weilei Dong, Fuliang Shangguan, Hanbing Li, Huixi Yu, Jiayu Shen, Yinhua Su, Zhongyu Li

Abstract read
In one paragraph

Article in BMJ open, 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
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

8 authors.

Yingni Liang *School of Nursing, University of South China, Hengyang, Hunan, China.ORCID http://orcid.org/0009-0008-5232-9832
Weilei Dong *Department of Obstetrics, First Affiliated Hospital of University of South China, Hengyang, Hunan, China.
Fuliang ShangguanSchool of Nursing, University of South China, Hengyang, Hunan, China.ORCID http://orcid.org/0009-0004-7236-1590
Hanbing LiSchool of Nursing, University of South China, Hengyang, Hunan, China.
Huixi YuSchool of Nursing, University of South China, Hengyang, Hunan, China.
Jiayu ShenSchool of Nursing, University of South China, Hengyang, Hunan, China.
Yinhua SuSchool of Nursing, University of South China, Hengyang, Hunan, China lzhy1023@hotmail.com 382373646@qq.com.
Zhongyu LiSchool of Nursing, University of South China, Hengyang, Hunan, China lzhy1023@hotmail.com 382373646@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWomen with gestational diabetes mellitus (GDM) are more likely to give birth to large for gestational age (LGA) infants, due to abnormalities in glucose metabolism during pregnancy. Although previous studies have explored the risk factors for LGA delivery in GDM women, the results are quite different and still lack of unified understanding.

objectiveTo explore the elements linked to LGA delivery in GDM women, and thus provide a reference for medical staff to formulate relevant clinical interventions. METHODS AND ANALYSIS: Systematic search of seven electronic databases (PubMed, Scopus, Cochrane Library, Web of Science, EMBASE, OVID and CINAHL) will be undertaken between the inception of the database to 1 August 2024. Quantitative studies published in English and focused on the risk factors for LGA delivery in GDM women will be included. Two researchers will independently screen the literature and any disagreements will be resolved by a third-party researcher. Joanna Briggs's Institutional Critical Appraisal Tools will be used for the quality assessment of included studies. RevMan V.5.4 software will be used for data processing and summarising. To ensure the reliability and stability of the results, Q test and I ETHICS AND DISSEMINATION: This systematic review and meta-analysis will be based on published literature, and the findings will be published in a peer-reviewed journal and presented at major conferences focused on clinical nursing. PROSPERO REGISTRATION NUMBER: CRD42024559013.

Indexed as

Diabetes, GestationalFetal MacrosomiaFemaleGestational AgeHumansMeta-Analysis as TopicPregnancyResearch DesignRisk FactorsSystematic Reviews as TopicDiabetes in pregnancyFetal medicineMeta-AnalysisProtocols & guidelinesRisk Factors

Identifiers

PMID39653580
PMCPMC11628950

What OpenQuestion holds

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LicenceCC BY-NC
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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.