Evidence map›Paper›PMID 36527500›Full record

SynthesisActa diabetologica2023

Expression of microRNAs in patients with gestational diabetes mellitus: a systematic review and meta-analysis.

Jianhua Li, Bei Gan, Lin Lu, Lihong Chen, Jianying Yan

Open access · hybridFull text readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 1 institution in 1 country.

Jianhua Li *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Bei Gan *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Lin LuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Lihong ChenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China. chenlihong1003@fjmu.edu.cn.ORCID http://orcid.org/0000-0003-2385-4466
Jianying YanDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China. yanjy2019@fjmu.edu.cn.
Fujian Medical University · CN

Funding

Natural Science Foundation of Fujian Province 2022J01705
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNA) are noncoding RNAs that play a central role in governing various physiological and pathological processes. There are few studies on miRNA involvement in gestational diabetes mellitus (GDM). In this study, we performed a meta-analysis of the miRNA expression profiling from GDM patients.

methodsGuided by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols, we performed a systematic search of the PubMed, Cochrane Library, and EMBASE databases from inception to December 20, 2021, to retrieve the original research studies. All the relevant data were retrieved, analyzed, and summarized.

resultsSix studies (252 GDM cases and 309 controls) were included and analyzed. The six studies reported the expressions of 21 miRNAs in GDM cases. Of the 21 miRNAs, 12 miRNAs were found to be upregulated, and two were downregulated. The top three most consistently reported upregulated miRNAs were miR-16-5p (mean differences of fold change are 1.25, 95% CI = 0.04-2.46, P = 0.040), miR-19a-3p (mean differences of fold change are 2.90, 95% CI = 1.45-4.35, P = 0.001), and miR-19b-3p (mean differences of fold change are 3.10, 95% CI = 0.94-5.25, P = 0.005). miR-155-5p and miR-21-3p were found to be downregulated.

conclusionsThe results indicate that several miRNAs may be used as markers for diabetes gestational diabetes mellitus. In the future, more studies are needed to validate the findings of our study.

Indexed as

Diabetes, GestationalMicroRNAsFemaleHumansPregnancyMicroRNAsExpressionGestational diabetes mellitusMeta-analysismiRNA

Identifiers

PMID36527500
PMCPMC10033571
OpenAlexW4311821346

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read46
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.