Evidence map›Paper›PMID 33203788›Full record

ArticleAging2020

Secondary data mining of GEO database for long non-coding RNA and Competing endogenous RNA network in keloid-prone individuals.

Yu Deng, Yangbin Xu, Shuqia Xu, Yujing Zhang, Bing Han, Zheng Liu, Xiangxia Liu, Zhaowei Zhu

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Emerging roles of long non-coding RNAs in keloids.Frontiers in cell and developmental biology · 2022
    Review
  8. Article
  9. Article
  10. DNA methylation ofAging · 2021
    Article
  11. Article
  12. Article
  13. 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

8 authors at 2 institutions in 1 country.

Yu DengDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Yangbin XuDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Shuqia XuDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Yujing ZhangDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Bing HanDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Zheng LiuDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Xiangxia LiuDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Zhaowei ZhuDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) differentially expressed (DE) during keloid formation, predict DElncRNA-DEmiRNA-DEmRNA interactions, and construct a competing endogenous RNA (ceRNA) network through secondary data mining of keloid-related sequencing and microarray data in the open-source Gene Expression Omnibus (GEO) database. The GSE113621 dataset was downloaded from the GEO database, |log

Indexed as

Gene Regulatory NetworksDatabases, GeneticData MiningHumansKeloidMicroRNAsRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, MessengerGEO databasekeloid-pronelncRNA

Identifiers

PMID33203788
PMCPMC7803517
OpenAlexW3101510400

What OpenQuestion 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 OpenQuestion graph.