Evidence map›Paper›PMID 37761255›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Cell-Free miRNAs as Non-Invasive Biomarkers in Brain Tumors.

Ozal Beylerli, Manuel de Jesus Encarnacion Ramirez, Alina Shumadalova, Tatiana Ilyasova, Mikhail Zemlyanskiy, Aferin Beilerli, Nicola Montemurro

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  19. MicroRNAs as Biomarkers of Brain Tumor.Cancer management and research · 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

7 authors at 4 institutions in 2 countries.

Ozal BeylerliBashkir State Medical University, 450008 Ufa, Russia.
Manuel de Jesus Encarnacion RamirezDepartment of Neurosurgery, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.ORCID 0000-0003-3541-0635
Alina ShumadalovaBashkir State Medical University, 450008 Ufa, Russia.
Tatiana IlyasovaBashkir State Medical University, 450008 Ufa, Russia.
Mikhail ZemlyanskiyDepartment of Neurosurgery, Podolsk Regional Hospital, 141110 Moscow, Russia.
Aferin BeilerliDepartment of Obstetrics and Gynecology, Tyumen State Medical University, 625000 Tyumen, Russia.
Nicola MontemurroDepartment of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), University of Pisa, 56100 Pisa, Italy.ORCID 0000-0002-3686-8907
Bashkir State Medical University · RUPeoples' Friendship University of Russia · RUTyumen State Medical University · RUUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosing brain tumors, especially malignant variants, such as glioblastoma, medulloblastoma, or brain metastasis, presents a considerable obstacle, while current treatment methods often yield unsatisfactory results. The monitoring of individuals with brain neoplasms becomes burdensome due to the intricate tumor nature and associated risks of tissue biopsies, compounded by the restricted accuracy and sensitivity of presently available non-invasive diagnostic techniques. The uncertainties surrounding diagnosis and the tumor's reaction to treatment can lead to delays in critical determinations that profoundly influence the prognosis of the disease. Consequently, there exists a pressing necessity to formulate and validate dependable, minimally invasive biomarkers that can effectively diagnose and predict brain tumors. Cell-free microRNAs (miRNAs), which remain stable and detectable in human bodily fluids, such as blood and cerebrospinal fluid (CSF), have emerged as potential indicators for a range of ailments, brain tumors included. Numerous investigations have showcased the viability of profiling cell-free miRNA expression in both CSF and blood samples obtained from patients with brain tumors. Distinct miRNAs demonstrate varying expression patterns within CSF and blood. While cell-free microRNAs in the blood exhibit potential in diagnosing, prognosticating, and monitoring treatment across diverse tumor types, they fall short in effectively diagnosing brain tumors. Conversely, the cell-free miRNA profile within CSF demonstrates high potential in delivering precise and specific evaluations of brain tumors.

Indexed as

biomarkersbloodbrain tumorscell-free microRNAscerebrospinal fluiddiagnosisexpression

Identifiers

PMID37761255
PMCPMC10529040
OpenAlexW4386607811

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.