Evidence map›Paper›PMID 35957839›Full record

ReviewFrontiers in endocrinology2022

A Big Role for microRNAs in Gestational Diabetes Mellitus.

Matladi Masete, Stephanie Dias, Nompumelelo Malaza, Sumaiya Adam, Carmen Pheiffer

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. MicroRNA Associations with Preterm Labor-A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
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  9. The role of microRNAs in pregnancies complicated by maternal diabetes.Clinical science (London, England : 1979) · 2024
    Review
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  12. The Role of Placental Non-Coding RNAs in Adverse Pregnancy Outcomes.International journal of molecular sciences · 2023
    Review
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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

5 authors at 2 institutions in 1 country.

Matladi MaseteBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa.
Stephanie DiasBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa.
Nompumelelo MalazaBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa.
Sumaiya AdamDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Carmen PheifferBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa.
University of Pretoria · ZASouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal diabetes is associated with pregnancy complications and poses a serious health risk to both mother and child. Growing evidence suggests that pregnancy complications are more frequent and severe in pregnant women with pregestational type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) compared to women with gestational diabetes mellitus (GDM). Elucidating the pathophysiological mechanisms that underlie the different types of maternal diabetes may lead to targeted strategies to prevent or reduce pregnancy complications. In recent years, microRNAs (miRNAs), one of the most common epigenetic mechanisms, have emerged as key players in the pathophysiology of pregnancy-related disorders including diabetes. This review aims to provide an update on the status of miRNA profiling in pregnancies complicated by maternal diabetes. Four databases, Pubmed, Web of Science, EBSCOhost, and Scopus were searched to identify studies that profiled miRNAs during maternal diabetes. A total of 1800 articles were identified, of which 53 are included in this review. All studies profiled miRNAs during GDM, with no studies on miRNA profiling during pregestational T1DM and T2DM identified. Studies on GDM were mainly focused on the potential of miRNAs to serve as predictive or diagnostic biomarkers. This review highlights the lack of miRNA profiling in pregnancies complicated by T1DM and T2DM and identifies the need for miRNA profiling in all types of maternal diabetes. Such studies could contribute to our understanding of the mechanisms that link maternal diabetes type with pregnancy complications.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2MicroRNAsPregnancy ComplicationsFemaleHumansPregnancyMicroRNAsgestational diabetes mellitusmicroRNAspregnancytype 1 diabetes mellitustype 2 diabetes mellitus

Identifiers

PMID35957839
PMCPMC9357936
OpenAlexW4287147095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.