Evidence map›Paper›PMID 26729461›Full record

ReviewNature reviews. Rheumatology2016

Extracellular vesicles — new tool for joint repair and regeneration.

Jos Malda, Janneke Boere, Chris H A van de Lest, P René van Weeren, Marca H M Wauben

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 2 pooled it
9.9field-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

103 citing papers in PubMed, 2 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
  7. From pathogenesis to therapy: extracellular vesicles in osteoarthritis.Frontiers in bioengineering and biotechnology · 2026
    Review
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  9. Article
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  12. Article
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  14. Review
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  19. Advances in the Study of Extracellular Vesicles for Bone Regeneration.International journal of molecular sciences · 2024
    Review
  20. Article

43 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 2 institutions in 2 countries.

Jos Malda
Janneke Boere
Chris H A van de Lest
P René van Weeren
Marca H M Wauben
Utrecht University · NLUniversity Medical Center Utrecht · NL

Funding

European Research Council 647426
6 · The paper itself

Abstract

Cell-derived extracellular vesicles (EVs), present in synovial fluid and cartilage extracellular matrix (ECM), are involved in joint development and in the regulation of joint homeostasis. Although the exact function of EVs in these processes remains incompletely defined, the knowledge already acquired in this field suggests a role for these EVs as biomarkers of joint disease, and as a new tool to restore joint homeostasis and enhance articular tissue regeneration. In addition to direct injection of therapeutic EVs into the target site, surface coating of scaffolds and embedding of EVs in hydrogels might also lead to novel therapeutic possibilities. Based on the existing literature of EVs in synovial fluid and articular tissues, and investigation of the molecular factors (including microRNAs) active in joint homeostasis (or during its disturbance), we postulate novel perspectives for the implementation of EVs as a regenerative medicine approach in joint repair.

Indexed as

ArthritisBiomarkersCell CommunicationCell-Derived MicroparticlesExtracellular MatrixExtracellular VesiclesHomeostasisHumansJoint DiseasesJointsMicroRNAsRegenerationTerminology as TopicBiomarkersMicroRNAs

Identifiers

PMID26729461
PMCPMC7116208
OpenAlexW2273521760

What OpenQuestion holds

Textmetadata
LicenceTDM
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.