Evidence map›Paper›PMID 41429775›Full record

ReviewBone research2025

Bibliometric and LDA analysis of extracellular vesicles in osteoarthritis.

Hongyu Xie, Lin Zhao, Lunwei Kang, Weikun Meng, Jianshu Tan, Ga Liao

Abstract readReview
In one paragraph

Review in Bone research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Charting the artificial intelligence revolution in orthodontics : A bibliometric analysis of key players, collaborations, and research directions.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026
    Review
  4. Review
  5. 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

6 authors.

Hongyu XieState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Lin ZhaoState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Lunwei KangState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Weikun MengOrthopaedic Research Institute, Department of Orthopaedics, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jianshu TanState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
Ga LiaoState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Stomatology Informatics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China. liaoga@hotmail.com.ORCID 0000-0003-4327-0054

Funding

Sichuan Provincial Department of Science and Technology | Sichuan Province Science and Technology Support Program 25GJHZ0145
6 · The paper itself

Abstract

Osteoarthritis (OA) is a common degenerative joint disease with complex risk factors, and its underlying mechanism remains unclear. The disease has a subtle onset and mild early symptoms, and its progression is irreversible. Current treatments do not offer a complete cure. Therefore, developing new therapies, early prevention strategies, and reliable biomarkers is essential to reduce the disease burden and improve the quality of life for OA patients. Extracellular vesicles, with their natural biocompatibility and low immunogenicity, have shown great potential in drug delivery and acellular therapies. To provide a complete understanding of the current research and future prospects of extracellular vesicles in OA, this study used bibliometric analysis and Latent Dirichlet Allocation (LDA) methods to systematically evaluate international collaborations, research hotspots, and emerging trends in the field. Our aim is to offer a scientific basis and reference for innovative OA treatment strategies and the clinical application of extracellular vesicles.

Indexed as

BibliometricsExtracellular VesiclesOsteoarthritisHumans

Identifiers

PMID41429775
PMCPMC12722249

What OpenQuestion 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 OpenQuestion graph.