Evidence map›Paper›PMID 24535546›Full record

ReviewNature reviews. Rheumatology2014

Emerging role of extracellular vesicles in inflammatory diseases.

Edit I Buzas, Bence György, György Nagy, András Falus, Steffen Gay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 402 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
402citing papers in PubMed, 1 pooled it
24.5field-weighted citation impact, top 1% 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

402 citing papers in PubMed, 1 synthesis or guideline pooled it, 683 citations in OpenAlex.

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342 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Edit I BuzasDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Nagyvárad tér 4, H-1089 Budapest, Hungary.
Bence GyörgyDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Nagyvárad tér 4, H-1089 Budapest, Hungary.
György NagyDepartment of Rheumatology, Polyclinic of the Hospitaller Brothers of St John of God, Frankel Leó út 54, H-1023 Budapest, Hungary.
András FalusDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Nagyvárad tér 4, H-1089 Budapest, Hungary.
Steffen GayCentre for Experimental Rheumatology, Clinic of Rheumatology, University Hospital, Gloriastrasse 25, Zürich CH-8091, Switzerland.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery that submicron-sized extracellular vesicles (EVs) are generated by both prokaryotic and eukaryotic cells might have a profound effect on experimental and clinical sciences, and could pave the way for new strategies to combat various diseases. EVs are carriers of pathogen-associated and damage-associated molecular patterns, cytokines, autoantigens and tissue-degrading enzymes. In addition to a possible role in the pathogenesis of a number of inflammatory conditions, such as infections and autoimmune diseases, EVs, including microvesicles (also known as microparticles), exosomes and apoptotic vesicles, have therapeutic potential and might be used as biomarkers for inflammatory diseases. Therefore, molecular diagnostics and targeted therapy could benefit from expanding knowledge in the field. In this Review, we summarize important developments and propose that extracellular vesicles could be used as therapeutic vehicles and as targets for the treatment and prevention of inflammatory diseases.

Indexed as

Cell CommunicationHumansInflammationTransport Vesicles

Identifiers

PMID24535546
OpenAlexW2015387324

What OpenQuestion 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 OpenQuestion graph.