Evidence map›Paper›PMID 32596306›Full record

SynthesisBioMed research international2020

The Role of MicroRNA in Contrast-Induced Nephropathy: A Scoping Review and Meta-Analysis.

Mangiring P L Toruan, Raymond Pranata, Budi Yuli Setianto, Sofia Mubarika Haryana

Open access · hybridAbstract readMeta-AnalysisScoping Review
In one paragraph

Synthesis in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Mangiring P L ToruanDepartment of Cardiology and Vascular Medicine, Mohammad Hoesin General Hospital, Palembang, Sumatera Selatan, Indonesia.ORCID https://orcid.org/0000-0002-9556-3994
Raymond PranataFaculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.ORCID https://orcid.org/0000-0003-3998-6551
Budi Yuli SetiantoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada/Sardjito General Hospital, Yogyakarta, Indonesia.
Sofia Mubarika HaryanaHistology and Cell Biology Department, Faculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.
Universitas Gadjah Mada · IDPelita Harapan University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEarly diagnosis of contrast-induced nephropathy (CIN) remains crucial for successful treatment; unfortunately, the widely used serum creatinine is elevated only in the late stage of CIN. The circulating microRNAs (miRNAs) are stable biomarker that might be useful. The aim of this scoping review and meta-analysis is to assess the role of miRNAs in CIN.

methodsWe performed a systematic literature search on topics that assess the role of miRNAs in CIN from several electronic databases.

resultsThere were 6 preclinical studies and 2 of them validated their findings in human. Only miR-30a, miR-30c, miR-30e, and miR-188 have been validated in human models. Meta-analysis showed that increase in miR-30a expression was associated with higher incidence of CIN (OR 4.48 [1.52, 13.26],

conclusionThis study highlighted the importance of certain miRNAs in CIN pathophysiology. Future researches should explore on the prognostic and therapeutic implication of miRNA in CIN.

Indexed as

Acute Kidney InjuryAnimalsBiomarkersContrast MediaEarly DiagnosisGene ExpressionGene Expression ProfilingHumansMicroRNAsBiomarkersContrast MediaMicroRNAs

Identifiers

PMID32596306
PMCPMC7273422
OpenAlexW3032121512

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.