Evidence map›Paper›PMID 29959959›Full record

ReviewAdvanced drug delivery reviews2018

Strategic design of extracellular vesicle drug delivery systems.

James P K Armstrong, Molly M Stevens

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Clinical Applications of Extracellular Vesicles: Promises and Pitfalls.International journal of molecular sciences · 2026
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79 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

2 authors.

James P K ArmstrongDepartment of Materials, Department of Bioengineering, and Institute for Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
Molly M StevensDepartment of Materials, Department of Bioengineering, and Institute for Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom. Electronic address: m.stevens@imperial.ac.uk.

Funding

Arthritis Research UK 21138European Research Council 616417Medical Research Council MR/K026682/1Medical Research Council MR/L012677/1Versus Arthritis 21138Wellcome Trust 098411
6 · The paper itself

Abstract

Extracellular vesicles (EVs), sub-micron vectors used in intercellular communication, have demonstrated great promise as natural drug delivery systems. Recent reports have detailed impressive in vivo results from the administration of EVs pre-loaded with therapeutic cargo, including small molecules, nanoparticles, proteins and oligonucleotides. These results have sparked intensive research interest across a huge range of disease models. There are, however, enduring limitations that have restricted widespread clinical and pharmaceutical adoption. In this perspective, we discuss these practical and biological concerns, critically compare the relative merit of EVs and synthetic drug delivery systems, and highlight the need for a more comprehensive understanding of in vivo transport and delivery. Within this framework, we seek to establish key areas in which EVs can gain a competitive advantage in order to provide the tangible added value required for widespread translation.

Indexed as

Drug Delivery SystemsExtracellular VesiclesHumansNanoparticlesOligonucleotidesProteinsSmall Molecule LibrariesOligonucleotidesProteinsSmall Molecule LibrariesDrug deliveryExosomesExtracellular vesiclesLiposomesMicrovesicles

Identifiers

PMID29959959
PMCPMC6606438

What OpenQuestion holds

Textmetadata
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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.