Evidence map›Paper›PMID 29698386›Full record

ReviewActa pharmacologica Sinica2018

Non-coding RNAs as biomarkers for acute myocardial infarction.

Chen Wang, Qing Jing

Open access · bronzeAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
4.2field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 4 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  13. Analysis of the differences in immune-related genes and immune cell subtypes in acute myocardial infarction.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
  14. Article
  15. Article
  16. Angiogenesis after ischemic stroke.Acta pharmacologica Sinica · 2023
    Review
  17. The Role of ncRNAs in Cardiac Infarction and Regeneration.Journal of cardiovascular development and disease · 2023
    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

2 authors at 1 institution in 1 country.

Chen WangKey Laboratory of Stem Cell Biology, Institute of Health Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences & Shanghai Jiao-Tong University School of Medicine, Shanghai, China, 200031.
Qing JingKey Laboratory of Stem Cell Biology, Institute of Health Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences & Shanghai Jiao-Tong University School of Medicine, Shanghai, China, 200031. qjing@sibs.ac.cn.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is a main threat to human lives worldwide. Early and accurate diagnoses warrant immediate medical care, which would reduce mortality and improve prognoses. Circulating non-coding RNAs have been demonstrated to serve as competent biomarkers for various diseases. Following the identification of cardiac-specific microRNA miR-208a in circulation, more non-coding RNAs (miR-1, miR-499 and miR-133) have been identified as biomarkers not only for the diagnosis of AMI but also for prognosis post infarction. Here, we summarized recent findings on non-coding RNAs as biomarkers for early diagnosis of ST-segment elevation myocardial infarction and for disease monitoring of myocardial infarction. In addition, the prognostic potential of non-coding RNAs in patients treated with percutaneous coronary intervention was also described. We also include studies based on biobanks, and build a miRNA release spectrum after AMI, which provides quantitative and time-lapse monitoring of AMI progress. With this spectrum, we are able to customize personal medical care, which prevents further damage. By constructing a network of circulating non-coding RNAs with high specificity and sensitivity, detailed diagnostic information was provided for personalized medicine. Unveiling the roles and kinetics of circulating non-coding RNAs may lead to a revolution in clinical diagnosis.

Indexed as

Acute DiseaseAnimalsBiomarkersHumansMyocardial InfarctionRNA, UntranslatedBiomarkersRNA, Untranslatedacute myocardial infarctionbiomarkerscardiovascular diseasescirculating RNAdiagnosisnon-coding RNAsprognosis

Identifiers

PMID29698386
PMCPMC6289336
OpenAlexW2802353074

What OpenQuestion holds

Textmetadata
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.