Evidence map›Paper›PMID 32731351›Full record

ReviewBiomedicines2020

Extracellular Vesicles in Acute Stroke Diagnostics.

Katrine Tang Stenz, Jesper Just, Rolf Ankerlund Blauenfeldt, Kim Ryun Drasbek

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Clot Morphology in Acute Ischemic Stroke Decision Making.International journal of molecular sciences · 2022
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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 1 institution in 2 countries.

Katrine Tang StenzCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, DK-8000 Aarhus, Denmark.
Jesper JustCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, DK-8000 Aarhus, Denmark.
Rolf Ankerlund BlauenfeldtDepartment of Neurology, Aarhus University Hospital, DK-8200 Aarhus, Denmark.
Kim Ryun DrasbekCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, DK-8000 Aarhus, Denmark.ORCID 0000-0003-2701-2741
Aarhus University · DK

Funding

Novo Nordisk Foundation NNF15OC0016674Sino-Danish Center for Education and Research Not numbered
6 · The paper itself

Abstract

There is a large unmet need for fast and reliable diagnostics in several diseases. One such disease is stroke, where the efficacy of modern reperfusion therapies is highly time-dependent. Diagnosis of stroke and treatment initiation should be performed as soon as possible, and preferably before arrival at the stroke center. In recent years, several potential blood biomarkers for stroke have been evaluated, but without success. In this review, we will go into detail on the possibility of utilizing extracellular vesicles (EVs) released into the blood as novel biomarkers for stroke diagnostics. EVs are known to reflect the immediate state of the secreting cells and to be able to cross the blood-brain barrier, thus making them attractive as diagnostic biomarkers of brain diseases. Indeed, several studies have reported EV markers that enable differentiation between stroke patients and controls and, to a lesser extent, the ability to correctly classify the different stroke types. Most of the studies rely on the use of sophisticated and time-consuming methods to quantify specific subpopulations of the nanosized EVs. As these methods cannot be easily implemented in a rapid point of care (POC) test, technical developments followed by prospective clinical studies are needed.

Indexed as

circulating biomarkersdiagnosticsextracellular vesiclesstroke

Identifiers

PMID32731351
PMCPMC7459954
OpenAlexW3045624584

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.