Evidence map›Paper›PMID 36187126›Full record

ArticleFrontiers in endocrinology2022

Association between lncRNAs in plasma exosomes and diabetic retinopathy.

Qingqing Ye, Lian Li, Zhoujie Shao, Miao Xu, Li Li, Qianqian Yan, Bin Huang, Tian Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. 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
1.4field-weighted citation impact, top 18% 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, 17 citations in OpenAlex.

  1. Review
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  10. Potential Diagnostic Markers of Diabetic Retinopathy: Serum LncRNA MIAT, HOTTIP, SNHG16.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  11. Review
  12. Advances in Therapeutic Applications of Extracellular Vesicles.International journal of nanomedicine · 2023
    Review
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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

8 authors at 4 institutions in 1 country.

Qingqing YeClinical Laboratory, Beilun District People's Hospital, Ningbo, China.
Lian LiDepartment of Prevention and Control, Ningbo Kangning Hospital, Ningbo, China.
Zhoujie ShaoClinical Laboratory, Beilun District People's Hospital, Ningbo, China.
Miao XuDepartment of Endocrinology, Ningbo First hospital, Ningbo, China.
Li LiDepartment of Endocrinology, Ningbo First hospital, Ningbo, China.
Qianqian YanDepartment of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China.
Bin HuangDepartment of Emergency Medicine, Beilun District People's Hospital, Ningbo, China.
Tian ZhaoDepartment of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China.
University of Nottingham Ningbo China · CNNingbo First Hospital · CNUniversity of Chinese Academy of Sciences · CNNingbo Kangning Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long noncoding RNA (lncRNA) in plasma exosomes is a potential non-invasive diagnostic biomarker for diabetic retinopathy (DR). However, the changes in plasma exosomal lncRNAs and diagnostic relevance in patients with DR patients remain unclear. Methods: A case-control study with type 2 diabetes mellitus (T2DM) and patients with comorbid DR were enrolled, and their clinical information and blood samples were collected. Plasma exosomes were extracted, and the relative expression levels of representative differentially expressed exosomal lncRNAs were determined. A logistic regression model was used to analyze the relationships of DR with relative lncRNA expression and DR-related factors, and receiver operating characteristic (ROC) curve analysis was used to evaluate the value of exosomal lncRNAs for DR diagnosis. Results: Sixty-two patients with T2DM and sixty-two patients with DR were matched by age, sex, and disease duration. The fasting blood glucose concentration, glycosylated hemoglobin level (HbA Conclusion: The fasting blood glucose concentration, HbA

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyExosomesRNA, Long NoncodingBiomarkersBlood GlucoseCase-Control StudiesC-PeptideFemaleGlycated HemoglobinHumansMaleBiomarkersBlood GlucoseC-PeptideGlycated HemoglobinRNA, Long Noncodingcase–control studydiabetic retinopathyexosomelncRNAtype 2 diabetes mellitus

Identifiers

PMID36187126
PMCPMC9519175
OpenAlexW4295563409

What OpenQuestion holds

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LicenceCC BY
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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.