Evidence map›Paper›PMID 36439541›Full record

ArticleFrontiers in surgery2022

Screening and analysis of differentially expressed circRNAs and miRNAs in chronic diabetic extremity wounds.

Xiaoliang Li, Dan Lv, Jiangfan Xie, Xiangyang Ye, Chengde Xia, Dewu Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. The Wound-Heart Axis: Can Chronic Wounds Contribute to Cardiac Dysfunction?International journal of molecular sciences · 2026
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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

6 authors at 3 institutions in 1 country.

Xiaoliang LiMedical Center of Burn plastic and wound repair, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Dan LvMedical Center of Burn plastic and wound repair, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Jiangfan XieDepartment of Burns, Zhengzhou First People's Hospital, Zhengzhou, China.
Xiangyang YeDepartment of Burns, Zhengzhou First People's Hospital, Zhengzhou, China.
Chengde XiaDepartment of Burns, Zhengzhou First People's Hospital, Zhengzhou, China.
Dewu LiuMedical Center of Burn plastic and wound repair, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Zhengzhou People's Hospital · CNNanchang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing studies have shown that circular RNAs (circRNAs) and microRNAs (miRNAs) are related to the development of endocrine and metabolic diseases. However, there are few reports on the expression of circRNAs and miRNAs and their related co-expression and the expression of competitive endogenous RNA (ceRNA) in diabetic chronic refractory wounds. In this study, we compared the differential expression of circRNAs and miRNAs in diabetes chronic refractory wounds and normal skin tissues by high-throughput gene sequencing, and screened the differentially expressed circRNAs and miRNAs. Five abnormally expressed circRNAs and seven abnormally expressed miRNAs were detected by reverse transcription quantitative polymerase chain reaction PCR (RT-qPCR)to verify the results of RNA sequencing. We applied gene ontology (GO) to enrich and analyze dysregulated genes and elucidated their main functions

Indexed as

chronic wound and burn healingcircRNAdiabetes mellitushigh-Throughput nucleotide sequencingmiRNA

Identifiers

PMID36439541
PMCPMC9684199
OpenAlexW4308867385

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.