Evidence map›Paper›PMID 31011482›Full record

ReviewAging and disease2019

MicroRNAs or Long Noncoding RNAs in Diagnosis and Prognosis of Coronary Artery Disease.

Yuan Zhang, Lei Zhang, Yu Wang, Han Ding, Sheng Xue, Hongzhao Qi, Peifeng Li

Open access · goldAbstract readReview
In one paragraph

Review in Aging and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. lncRNA HOTAIR and Cardiovascular diseases.Functional & integrative genomics · 2024
    Review
  6. Article
  7. Article
  8. Genetic variations in tumor-suppressor miRNA-encoding genes and their target genes: focus on breast cancer development and possible therapeutic strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  9. Article
  10. Observational
  11. Review
  12. The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022
    Review
  13. CircRNA-miRNA interactions in atherogenesis.Molecular and cellular biochemistry · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  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

7 authors at 1 institution in 1 country.

Yuan ZhangInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Lei ZhangInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Yu WangInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Han DingInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Sheng XueInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Hongzhao QiInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Peifeng LiInstitute for Translational Medicine, Qingdao University, Deng Zhou Road 38, Qingdao 266021, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is the result of atherosclerotic plaque development in the wall of the coronary arteries. The underlying mechanism involves atherosclerosis of the arteries of the heart which is a relatively complex process comprising several steps. In CAD, atherosclerosis induces functional and structural changes. The pathogenesis of CAD results from various changes in and interactions between multiple cell types in the artery walls; these changes mainly include endothelial cell (EC) dysfunction, vascular smooth muscle cell (SMC) alteration, lipid deposition and macrophage activation. Various blood markers associated with an increased risk for cardiovascular endpoints have been identified; however, few have yet been shown to have a diagnostic impact or important clinical implications that would affect patient management. Noncoding RNAs, especially microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), can be stable in plasma and other body fluids and could therefore serve as biomarkers for some diseases. Many studies have shown that some miRNAs and lncRNAs play key roles in heart and vascular development and in cardiac pathophysiology. Thus, we summarize here the latest research progress, focusing on the molecular mechanism of miRNAs and lncRNAs in CAD, with the intent of seeking new targets for the treatment of heart disease.

Indexed as

atherosclerotic plaquecoronary artery diseaselncRNAsmiRNAs

Identifiers

PMID31011482
PMCPMC6457061
OpenAlexW2894933901

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.