Evidence map›Paper›PMID 37701435›Full record

ArticleFrontiers in immunology2023

Microbiome dysbiosis occurred in hypertrophic scars is dominated by

Jiarong Yu, Zhigang Mao, Zengding Zhou, Bo Yuan, Xiqiao Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Bacteria in hypertrophic scars promote scar formation through HSBP1-mediated autophagy.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    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 2 institutions in 1 country.

Jiarong YuThe Department of Burn, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhigang MaoThe Department of Plastic Surgery, Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zengding ZhouThe Department of Burn, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Bo YuanThe Department of Burn, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiqiao WangThe Department of Burn, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ruijin Hospital · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The mechanisms of hypertrophic scar formation and its tissue inflammation remain unknown. Methods: We collected 33 hypertrophic scar (HS) and 36 normal skin (NS) tissues, and detected the tissue inflammation and bacteria using HE staining, Gram staining, and transmission electronic microscopy (TEM), Results: HE staining showed that a dramatically increased number of inflammatory cells accumulated in HS compared with NS, and an enhanced number of bacteria colonies was found in HS by Gram staining, even individual bacteria could be clearly observed by TEM. Conclusion: Microbiome dysbiosis, dominated by

Indexed as

Cicatrix, HypertrophicMethicillin-Resistant Staphylococcus aureusDysbiosisGentian VioletHumansInflammationInterleukin-6Interleukin-8PhenazinesRNA, Ribosomal, 16SStaphylococcus aureusTumor Necrosis Factor-alphaGentian VioletGram's stainInterleukin-6Interleukin-8PhenazinesRNA, Ribosomal, 16STumor Necrosis Factor-alphahypertrophic scarinflammationmicrobiome dysbiosisS. aureusVancouver Scar Score

Identifiers

PMID37701435
PMCPMC10494536
OpenAlexW4386085726

What Socratic 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 Socratic graph.