Evidence map›Paper›PMID 37293384›Full record

ReviewBurns & trauma2023

Decoding the molecular landscape of keloids: new insights from single-cell transcriptomics.

Yijun Xia, Youbin Wang, Mengjie Shan, Yan Hao, Zhengyun Liang

Open access · diamondAbstract readReview
In one paragraph

Review in Burns & trauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  19. LangerinClinical, cosmetic and investigational dermatology · 2025
    Review
  20. 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

5 authors at 1 institution in 1 country.

Yijun XiaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Damucang Hutong, Xicheng District, Beijing, China.
Youbin WangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Damucang Hutong, Xicheng District, Beijing, China.
Mengjie ShanDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Damucang Hutong, Xicheng District, Beijing, China.
Yan HaoDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Damucang Hutong, Xicheng District, Beijing, China.
Zhengyun LiangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Damucang Hutong, Xicheng District, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keloids are a fibrotic disease caused by an excessive accumulation of extracellular matrix in the dermis; they have neoplasia-like properties of aggressive growth and high posttreatment recurrence rates. Therefore, it is imperative to gain additional insight into the pathobiology of keloid formation. Single-cell RNA sequencing (scRNA-seq) technology has brought data-driven innovation to understanding the pathogenesis of keloids by breaking the limitations of traditional sequencing technologies to resolve cell composition and to distinguish functional cell subtypes at an unprecedented resolution. The present review aims to cover the application of scRNA-seq technology in keloids and its exploratory findings, including the depiction of the cellular landscape of keloids, fibroblast heterogeneity, the lineage development of Schwann cells and the mesenchymal-activation phenomenon of endothelial cells. Furthermore, scRNA-seq records the transcriptional profiles of fibroblasts and immune cells in a more refined manner, and this gene expression information provides excellent material for inferring intercellular communication networks and lays an important theoretical foundation for future studies.

Indexed as

FibroblastImmune cellKeloidSchwann cellscRNA-seqTranscriptomics

Identifiers

PMID37293384
PMCPMC10244213
OpenAlexW4379966409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.