Evidence map›Paper›PMID 39583872›Full record

ReviewBiomaterials research2024

From Bench to Bedside: The Role of Extracellular Vesicles in Cartilage Injury Treatment.

Pan Jin, Huan Liu, Xichi Chen, Wei Liu, Tongmeng Jiang

Abstract readReview
In one paragraph

Review in Biomaterials research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Anti-Inflammatory and Angiogenic Effects of Stem Cell Secretome.International journal of molecular sciences · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Engineered Extracellular Vesicles in Arthritic Diseases: Therapeutic Applications & Challenges.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
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.

Pan JinHealth Science Center, Yangtze University, Jingzhou 434023, Hubei, China.ORCID https://orcid.org/0000-0001-7218-9496
Huan LiuHealth Science Center, Yangtze University, Jingzhou 434023, Hubei, China.
Xichi ChenHealth Science Center, Yangtze University, Jingzhou 434023, Hubei, China.
Wei LiuHealth Science Center, Yangtze University, Jingzhou 434023, Hubei, China.
Tongmeng JiangKey Laboratory of Emergency and Trauma of Ministry of Education, Key Laboratory of Haikou Trauma, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.ORCID https://orcid.org/0000-0002-4282-6770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cartilage repair is the key to the treatment of joint-related injury. However, because cartilage lacks vessels and nerves, its self-repair ability is extremely low. Extracellular vesicles (EVs) are bilayer nanovesicles with membranes mainly composed of ceramides, cholesterol, phosphoglycerides, and long-chain free fatty acids, containing DNA, RNA, and proteins (such as integrins and enzymes). For mediating intercellular communication and regulating mechanisms, EVs have been shown by multiple studies to be effective treatment options for cartilage repair. This review summarizes recent findings of different sources (mammals, plants, and bacteria) and uses of EVs in cartilage repair, mechanisms of EVs captured by injured chondrocytes, and quantification and storage of EVs, which may provide scientific guidance for promoting the development of EVs in the field of cartilage injury treatment.

Identifiers

PMID39583872
PMCPMC11582190

What Socratic 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 Socratic graph.