Evidence map›Paper›PMID 30261627›Full record

ReviewInternational journal of molecular sciences2018

Molecular Biomarkers for Gestational Diabetes Mellitus.

Stephanie Dias, Carmen Pheiffer, Yoonus Abrahams, Paul Rheeder, Sumaiya Adam

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
8.7field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  18. LncRNA HCP5 is Highly Expressed in Gestational Diabetes Mellitus to Suppress Insulin Secretion.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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.

Stephanie DiasBiomedical Research and Innovation Platform, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa. Stephanie.Dias@mrc.ac.za.
Carmen PheifferBiomedical Research and Innovation Platform, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa. carmen.pheiffer@mrc.ac.za.ORCID 0000-0002-0707-1552
Yoonus AbrahamsBiomedical Research and Innovation Platform, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa. Yoonus.Abrahams@mrc.ac.za.
Paul RheederDepartment of Internal Medicine, Faculty of Health Sciences, University of Pretoria, Private Bag X169, Pretoria 0001, South Africa. paul.rheeder@up.ac.za.
Sumaiya AdamDepartment of Obstetrics and Gynecology, University of Pretoria, Private Bag X169, Pretoria 0001, South Africa. Sumaiya.adam@up.ac.za.ORCID 0000-0001-8769-3273
South African Medical Research Council · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a growing public health problem worldwide. The condition is associated with perinatal complications and an increased risk for future metabolic disease in both mothers and their offspring. In recent years, molecular biomarkers received considerable interest as screening tools for GDM. The purpose of this review is to provide an overview of the current status of single-nucleotide polymorphisms (SNPs), DNA methylation, and microRNAs as biomarkers for GDM. PubMed, Scopus, and Web of Science were searched for articles published between January 1990 and August 2018. The search terms included "gestational diabetes mellitus", "blood", "single-nucleotide polymorphism (SNP)", "DNA methylation", and "microRNAs", including corresponding synonyms and associated terms for each word. This review updates current knowledge of the candidacy of these molecular biomarkers for GDM with recommendations for future research avenues.

Indexed as

DNA MethylationPolymorphism, Single NucleotideBiomarkersDiabetes, GestationalFemaleGenetic Predisposition to DiseaseHumansMicroRNAsPregnancySensitivity and SpecificityBiomarkersMicroRNAsDNA methylationgenetic and epigenetic markersgestational diabetes mellitusmicroRNAsmolecular biomarkerssingle-nucleotide polymorphism

Identifiers

PMID30261627
PMCPMC6213110
OpenAlexW2893599313

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.