Evidence map›Paper›PMID 36973823›Full record

SynthesisEuropean journal of medical research2023

A systematic review, meta-analysis, and network analysis of diagnostic microRNAs in glaucoma.

Masoud Rezaei, Mahsa Faramarzpour, Parnian Shobeiri, Homa Seyedmirzaei, Mohammad Sharifi Sarasyabi, Shahriar Dabiri

Open access · goldFull text readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

6 authors at 2 institutions in 1 country.

Masoud RezaeiResearch Center for Hydatid Disease in Iran, Kerman University of Medical Sciences, Kerman, Iran.ORCID http://orcid.org/0000-0001-9622-2561
Mahsa FaramarzpourPathology and Stem Cell Research Center, Department of Pathology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.ORCID http://orcid.org/0000-0001-9219-2895
Parnian ShobeiriSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-5282-3282
Homa Seyedmirzaei *School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-7799-9332
Mohammad Sharifi Sarasyabi *Research Center for Hydatid Disease in Iran, Kerman University of Medical Sciences, Kerman, Iran.ORCID http://orcid.org/0000-0003-1728-1550
Shahriar DabiriPathology and Stem Cell Research Center, Department of Pathology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran. dabiri12@yahoo.com.ORCID http://orcid.org/0000-0002-5922-3976
Kerman University of Medical Sciences · IRUniversal Scientific Education and Research Network · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaucoma is a chronic neurodegenerative process of the optic nerve that is the leading cause of blindness worldwide, and early diagnosis of the disease could greatly affect patients' prognoses. The pathophysiology of glaucoma is complicated by a combination of genetic and epigenetic factors. Deciphering the early diagnostic biomarkers in glaucoma could attenuate the disease's global burden and help us understand the exact mechanisms involved in glaucoma. The microRNAs are members of a larger family of non-coding RNAs that play an essential role in the epigenetic basis of glaucoma. A systematic study and meta-analysis of diagnostic microRNAs in glaucoma, jointly with network analysis of target genes, were carried out on published papers assessing differentially expressed microRNAs in human subjects. In total, 321 articles were found, and, after screening, six studies were eligible for further analysis. 52 differentially expressed microRNAs were found, of which 28 and 24 were up-regulated and down-regulated, respectively. Only 12 microRNAs were qualified for meta-analysis, with overall sensitivity and specificity of 80% and 74%, respectively. Then, using network analysis, it became apparent that the VEGF-A, AKT1, CXCL12, and HRAS genes were the most important targets for the microRNAs. Perturbations in WNT signaling, protein transport, and extracellular matrix organization pathways were discovered to be important in the etiology of glaucoma using the community detection approach. This study tries to uncover the promising microRNAs and their target genes that govern the epigenetics of glaucoma.

Indexed as

GlaucomaMicroRNAsEarly DiagnosisHumansPrognosisMicroRNAsGlaucomaMeta-analysisMicroRNANetwork analysisSystematic review

Identifiers

PMID36973823
PMCPMC10041737
OpenAlexW4360982811

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read21
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.