Evidence map›Paper›PMID 32312151›Full record

ReviewJournal of neurotrauma2020

Clinical Applications of Extracellular Vesicles in the Diagnosis and Treatment of Traumatic Brain Injury.

Kryshawna Beard, David F Meaney, David Issadore

Open access · greenAbstract readReview
In one paragraph

Review in Journal of neurotrauma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

33 citing papers in PubMed, 43 citations in OpenAlex.

  1. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
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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

3 authors at 1 institution in 1 country.

Kryshawna BeardDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David F MeaneyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David IssadoreDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · US

Funding

PREDOCTORAL TRAINING PROGRAM IN PHARMACOLOGYT32GM008076 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BLENDY, JULIE A · 1985 to 2023
$10.8M
A nanomagnetic platform technology to characterize traumatic brain injury using brain derived extracellular vesiclesR33MH118170 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2020 to 2022
$1.7M
NIGMS NIH HHS T32 GM008076NIMH NIH HHS R33 MH118170
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have emerged as key mediators of cell-cell communication during homeostasis and in pathology. Central nervous system (CNS)-derived EVs contain cell type-specific surface markers and intralumenal protein, RNA, DNA, and metabolite cargo that can be used to assess the biochemical and molecular state of neurons and glia during neurological injury and disease. The development of EV isolation strategies coupled with analysis of multi-plexed biomarker and clinical data have the potential to improve our ability to classify and treat traumatic brain injury (TBI) and resulting sequelae. Additionally, their ability to cross the blood-brain barrier (BBB) has implications for both EV-based diagnostic strategies and for potential EV-based therapeutics. In the present review, we discuss encouraging data for EV-based diagnostic, prognostic, and therapeutic strategies in the context of TBI monitoring and management.

Indexed as

BiomarkersBlood-Brain BarrierBrain Injuries, TraumaticExtracellular VesiclesHumansBiomarkersbiomarkersdiagnosticsexosomesextracellular vesiclesinflammationoutcomeprognosticstraumatic brain injury

Identifiers

PMID32312151
PMCPMC7502684
OpenAlexW3017334426

What Socratic holds

Textmetadata
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 Socratic graph.