Evidence map›Paper›PMID 40160248›Full record

ReviewMaterials today. Bio2025

Engineered extracellular vesicles as imaging biomarkers and therapeutic applications for urological diseases.

Liao-Yuan Li, Si-Yuan Liang, Mao-Ping Cai, Jian-Chao Ge, Hai-Song Tan, Cheng-Bang Wang, Bin Xu

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Liao-Yuan LiDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Si-Yuan LiangDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Mao-Ping CaiDepartment of Urology, Cancer Center, Fudan University, Shanghai, China.
Jian-Chao GeDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hai-Song TanDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Cheng-Bang WangDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Bin XuDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the ever-increasing burden of urological diseases, the need for developing novel imaging biomarkers and therapeutics to manage these disorders has never been greater. Extracellular vesicles (EVs) are natural membranous nanoparticles and widely applied in both diagnostics and therapeutics for many diseases. A growing body of research has demonstrated that EVs can be engineered to enhance their efficiency, specificity, and safety. We systematically examine the strategies for achieving targeted delivery of EVs as well as the techniques for engineering them in this review, with a particular emphasis on cargo loading and transportation. Additionally, this review highlights and summarizes the wide range of imaging biomarkers and therapeutic applications of engineered EVs in the context of urological diseases, emphasizing the potential applications in urological malignancy and kidney diseases.

Indexed as

BiomarkerExtracellular vesiclesImagingTherapyUrological diseases

Identifiers

PMID40160248
PMCPMC11953971

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.