Evidence map›Paper›PMID 32656264›Full record

ReviewJournal of diabetes research2020

Noncoding RNAs in Diabetic Nephropathy: Pathogenesis, Biomarkers, and Therapy.

Jiarong Lv, Yu Wu, Yifeng Mai, Shizhong Bu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  3. Review
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  11. AlteredExperimental biology and medicine (Maywood, N.J.) · 2025
    Article
  12. Novel Insights into Diabetic Kidney Disease.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Research progress onFrontiers in pharmacology · 2024
    Review
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Jiarong LvDiabetes Research Center, Medical School of Ningbo University, Ningbo, 315000 Zhejiang, China.ORCID https://orcid.org/0000-0002-2953-6103
Yu WuDiabetes Research Center, Medical School of Ningbo University, Ningbo, 315000 Zhejiang, China.ORCID https://orcid.org/0000-0001-9650-9896
Yifeng MaiThe Affiliated Hospital of Medical School of Ningbo University, Ningbo, 315000 Zhejiang, China.ORCID https://orcid.org/0000-0001-6969-4272
Shizhong BuDiabetes Research Center, Medical School of Ningbo University, Ningbo, 315000 Zhejiang, China.ORCID https://orcid.org/0000-0001-5196-6030
Ningbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The correlation between diabetes and systematic well-being on human life has long established. As a common complication of diabetes, the prevalence of diabetic nephropathy (DN) has been increasing globally. DN is known to be a major cause of end-stage kidney disease (ESKD). Till now, the molecular mechanisms for DN have not been fully explored and the effective therapies are still lacking. Noncoding RNAs are a class of RNAs produced by genome transcription that cannot be translated into proteins. It has been documented that ncRNAs participate in the pathogenesis of DN by regulating inflammation, apoptosis, autophagy, cell proliferation, and other pathological processes. In this review, the pathological roles and diagnostic and therapeutic potential of three types of ncRNAs (microRNA, long noncoding RNA, and circular RNA) in the progression of DN are summarized and illustrated.

Indexed as

BiomarkersDiabetic NephropathiesDisease ProgressionHumansRNA, UntranslatedSignal TransductionBiomarkersRNA, Untranslated

Identifiers

PMID32656264
PMCPMC7327582
OpenAlexW3036416733

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.