Evidence map›Paper›PMID 42037348›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2026

[The application of nanoparticles in the treatment and prevention of pathological scars].

Yixi Huang, Lei Zhao, Zhehu Jin, Aili Cui

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yixi HuangDepartment of Dermatology, Yanbian University Hospital, Yanji, Jilin 133000, P. R. China.
Lei ZhaoDepartment of Dermatology, Yanbian University Hospital, Yanji, Jilin 133000, P. R. China.
Zhehu JinDepartment of Dermatology, Yanbian University Hospital, Yanji, Jilin 133000, P. R. China.
Aili CuiDepartment of Medical cosmetology, Yanbian University Hospital, Yanji, Jilin 133000, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathological scars arise from abnormal repair of skin trauma and are associated with pain, pruritus, and cosmetic deformities, severely impairing patients' physical and mental well-being. Current clinical therapeutic strategies, including surgical excision, photodynamic therapy and pharmacotherapy, are associated with inherent limitations. In recent years, nanoparticle-based delivery systems, leveraging their advantages including small size, excellent biocompatibility, and robust targeting capability, have offered novel strategies for the prevention and treatment of pathological scars. These systems can either be used alone as functional components or serve as carriers to enable precise delivery of therapeutic agents to the epidermis or dermis. This article first introduces nanoparticles along with their classification and characteristics, then elaborates on the latest research progress of nanoparticles in the treatment and prevention of pathological scars, covering their single-agent applications and combination therapies. Finally, it discusses the potential application value of nanoparticles in achieving precise prevention and treatment of pathological scars, aiming to provide new insights for clinical translation.

Indexed as

CicatrixCicatrix, HypertrophicDrug Delivery SystemsNanoparticlesHumansKeloidPhotochemotherapyDrug deliveryHypertrophic scarsKeloidsNanoparticlesPathological scars

Identifiers

PMID42037348
PMCPMC13112210

What OpenQuestion holds

Textmetadata
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.