Evidence map›Paper›PMID 36186470›Full record

ArticleFrontiers in genetics2022

Integrated bioinformatics analysis for novel miRNAs markers and ceRNA network in diabetic retinopathy.

Jingru Li, Chaozhong Li, Yulan Zhao, Xinyu Wu, Shuai Yu, Guihu Sun, Peng Ding, Si Lu, Lijiao Zhang, Ping Yang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. CD44, ACAN, PLVAP, and HBEGF Emerged as Potential Biomarkers in Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  3. 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

13 authors.

Jingru LiDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Chaozhong LiDepartment of Emergency, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yulan ZhaoDepartment of Laboratory Animal Science, Kunming Medical University, Kunming, China.
Xinyu WuDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Shuai YuDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Guihu SunDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Peng DingDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Si LuDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Lijiao ZhangDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Ping YangDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yunzhu PengDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jingyun FuDepartment of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Luqiao WangDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to seek a more outstanding diagnosis and treatment of diabetic retinopathy (DR), we predicted the miRNA biomarkers of DR and explored the pathological mechanism of DR through bioinformatics analysis.

Indexed as

bioinformatics analysisbiomarkerdiabetic retinopathymicroarrayRNA regulatory pathways

Identifiers

PMID36186470
PMCPMC9523404

What OpenQuestion holds

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Registered trials

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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.