Evidence map›Paper›PMID 32849923›Full record

ReviewDisease markers2020

Exosomes in Nephropathies: A Rich Source of Novel Biomarkers.

Christos Masaoutis, Samer Al Besher, Ioannis Koutroulis, Stamatios Theocharis

Open access · hybridAbstract readReview
In one paragraph

Review in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 20 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

4 authors at 2 institutions in 2 countries.

Christos MasaoutisFirst Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias street, Bld 10, Goudi, 11527 Athens, Greece.
Samer Al BesherFirst Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias street, Bld 10, Goudi, 11527 Athens, Greece.
Ioannis KoutroulisChildren's National Hospital, Division of Emergency Medicine and Center for Genetic Medicine, George Washington University School of Medicine and Health Sciences, 111 Michigan Ave. NW, Washington, DC 20010, USA.
Stamatios TheocharisFirst Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias street, Bld 10, Goudi, 11527 Athens, Greece.ORCID https://orcid.org/0000-0002-0930-1657
National and Kapodistrian University of Athens · GRGeorge Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biomarkers commonly utilized in diagnostic evaluations of kidney disease suffer from low sensitivity, especially in the early stages of renal damage. On the other hand, obtaining a renal biopsy to augment clinical decision making can lead to potentially serious complications. In order to overcome the shortcomings of currently available diagnostic tools, recent studies suggest that exosomes, cell-secreted extracellular vesicles containing a large array of active molecules to facilitate cell-to-cell communication, may represent a rich source of novel disease biomarkers. Because of their endocytic origin, exosomes carry markers typical for their parent cells, which could permit the localization of biochemical cellular alterations in specific kidney compartments. Different types of exosomes can be isolated from noninvasively obtained biofluids; however, in the context of kidney disease, evidence has emerged on the role of urinary exosomes in the diagnostic and predictive modeling of renal pathology. The current review summarizes the potential application of exosomes in the detection of acute and chronic inflammatory, metabolic, degenerative, and genetic renal diseases.

Indexed as

BiomarkersClinical Decision-MakingEarly DiagnosisExosomesHumansKidney DiseasesUrineBiomarkers

Identifiers

PMID32849923
PMCPMC7441435
OpenAlexW3048498289

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.