Evidence map›Paper›PMID 35152689›Full record

ArticleZhonghua shao shang yu chuang mian xiu fu za zhi2022

[Research advances on the role of competing endogenous RNAs in wound healing].

Y Y Liao, P H Zhang

Open access · greenAbstract read
In one paragraph

Article in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. [Research advances on the mechanism of circular RNA in diabetic wound healing].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2023
    Article
  3. Article
  4. 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

2 authors at 2 institutions in 1 country.

Y Y LiaoDepartment of Burns and Plastic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China.
P H ZhangDepartment of Burns and Plastic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

General Program of National Natural Science Foundation of China 81772084
6 · The paper itself

Abstract

Wound healing, as one of the important public health issues, has been a worldwide problem. Due to the unique biological wound environment, wound healing is a very complex process with current treatments requiring long cycles, being poorly effective, and bringing high economic burden to patients. An increasing number of studies have shown that non-coding RNAs (ncRNAs) play important roles in wound healing process. The competing endogenous RNAs (ceRNAs) hypothesis in recent years is a new proposal on the inter-regulation of RNAs, which suggests a "mode of communication" between different RNAs. ceRNA regulatory network (ceRNET) combines the functions of protein-coding mRNA with ncRNA (e.g., microRNA, long non-coding RNA, pseudogenes, and circular RNA). Recent studies have shown that ceRNAs play important roles in wound healing, which may provide new effective therapeutic targets for wound healing. This paper starting with ceRNET systematically reviewed the research progress on the effects of various ceRNAs in wound healing and the future research challenges, with the aim to deeply explore the molecular mechanisms and clinical significance of ceRNAs in the process of wound healing.

Indexed as

MicroRNAsRNA, Long NoncodingGene Regulatory NetworksHumansRNA, CircularWound HealingMicroRNAsRNA, CircularRNA, Long Noncoding

Identifiers

PMID35152689
PMCPMC11705244
OpenAlexW4213200129

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.