SynthesisEuropean journal of medical research2023
A systematic review, meta-analysis, and network analysis of diagnostic microRNAs in glaucoma.
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.
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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Can MicroRNAs Serve as Diagnostic Biomarkers for Glaucoma? A Systematic Review and Meta-analysis of Their Diagnostic Significance.Molecular diagnosis & therapy · 2026Pooled it
- Left-Right Determination Factor 2 (LEFTY2) Is an Aqueous Humor Biomarker for Exfoliation Glaucoma.Translational vision science & technology · 2026Article
- The developing role of NRF2 and HMOX1 in treatment response of cutaneous leishmaniasis.Scientific reports · 2025Article
- Article
- Exploring Epigenetic Modifications as Potential Biomarkers and Therapeutic Targets in Glaucoma.International journal of molecular sciences · 2024Review
- miRNA Studies in Glaucoma: A Comprehensive Review of Current Knowledge and Future Perspectives.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.