Evidence map›Paper›PMID 39781279›Full record

ReviewPrecision clinical medicine2025

Exosomes of stem cells: a potential frontier in the treatment of osteoarthritis.

Xiaofei Wang, Lei Xu, Zhimin Wu, Linbing Lou, Cunyi Xia, Haixiang Miao, Jihang Dai, Wenyong Fei, Jingcheng Wang

Abstract readReview
In one paragraph

Review in Precision clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

9 authors.

Xiaofei WangThe Graduate School, Dalian Medical University, Dalian 116044, China.
Lei XuDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.
Zhimin WuThe Graduate School, Dalian Medical University, Dalian 116044, China.
Linbing LouThe Graduate School, Dalian Medical University, Dalian 116044, China.
Cunyi XiaDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.
Haixiang MiaoDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.
Jihang DaiDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.
Wenyong FeiDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.
Jingcheng WangDepartment of Orthopedics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aging population has led to a global issue of osteoarthritis (OA), which not only impacts the quality of life for patients but also poses a significant economic burden on society. While biotherapy offers hope for OA treatment, currently available treatments are unable to delay or prevent the onset or progression of OA. Recent studies have shown that as nanoscale bioactive substances that mediate cell communication, exosomes from stem cell sources have led to some breakthroughs in the treatment of OA and have important clinical significance. This paper summarizes the mechanism and function of stem cell exosomes in delaying OA and looks forward to the development prospects and challenges of exosomes.

Indexed as

cartilageexosomesosteoarthritisregenerative medicinestem cells

Identifiers

PMID39781279
PMCPMC11705996

What OpenQuestion holds

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LicenceCC BY
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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.