Evidence map›Paper›PMID 28299324›Full record

ReviewBioMed research international2017

MicroRNAs and Cardiovascular Disease in Diabetes Mellitus.

Yue Ding, Xue Sun, Peng-Fei Shan

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
3.2field-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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Potential impact ofMolecular medicine reports · 2022
    Article
  11. Review
  12. Article
  13. Novel Cardiovascular Risk Factors in Patients with Diabetic Kidney Disease.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Epigenetics, microRNA and Metabolic Syndrome: A Comprehensive Review.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Yue DingDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xue SunDepartment of International Health Care Center, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0001-7212-2857
Peng-Fei ShanDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0002-6684-9395
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the major macrovascular complication of diabetes mellitus. Recently, although CVD morbidity and mortality have decreased as a result of comprehensive control of CVD risk factors, CVD remains the leading cause of death of patients with diabetes in many countries, indicating the potential underlying pathophysiological mechanisms. MicroRNAs are a class of noncoding, single-stranded RNA molecules that are involved in

Indexed as

Adipose TissueAnimalsAtherosclerosisBiomarkersCardiovascular DiseasesDiabetes ComplicationsDiabetes MellitusGlucoseHomeostasisHumansInflammationInsulinInsulin ResistanceLipid MetabolismMacrophagesMicroRNAsBiomarkersGlucoseInsulinMicroRNAs

Identifiers

PMID28299324
PMCPMC5337313
OpenAlexW2586290335

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.