Evidence map›Paper›PMID 26770988›Full record

ReviewJournal of diabetes research2016

Subclinical Detection of Diabetic Cardiomyopathy with MicroRNAs: Challenges and Perspectives.

Luis E León, Sweta Rani, Mauricio Fernandez, Martín Larico, Sebastián D Calligaris

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.6field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Diabetes and COVID-19 risk: an miRNA perspective.American journal of physiology. Heart and circulatory physiology · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Molecular biomarkers in diabetes mellitus (DM).Medical journal of the Islamic Republic of Iran · 2020
    Review
  15. Article
  16. Established and Emerging Mechanisms of Diabetic Cardiomyopathy.Journal of lipid and atherosclerosis · 2019
    Review
  17. Sensory Neuropathy Affects Cardiac miRNA Expression Network TargetingInternational journal of molecular sciences · 2019
    Article
  18. Review
  19. Review
  20. Redefining biomarkers in heart failure.Heart failure reviews · 2018
    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

5 authors at 2 institutions in 2 countries.

Luis E LeónCentro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, 7710162 Santiago, Chile.
Sweta RaniRegenerative Medicine Institute (REMEDI), National University of Ireland, Galway, Ireland.
Mauricio FernandezClínica Alemana, 7650568 Santiago, Chile.
Martín LaricoClínica Alemana, 7650568 Santiago, Chile.
Sebastián D CalligarisCentro de Medicina Regenerativa, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, 7710162 Santiago, Chile.
Clínica Alemana · CLOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of cardiac diabetic diseases has been increased around the world, being the most common cause of death and disability among diabetic patients. In particular, diabetic cardiomyopathy is characterized with a diastolic dysfunction and cardiac remodelling without signs of hypertension and coronary artery diseases. In an early stage, it is an asymptomatic disease; however, clinical studies demonstrate that diabetic myocardia are more vulnerable to injury derived by acute myocardial infarct and are the worst prognosis for rehabilitation. Currently, biochemical and imaging diagnostic methods are unable to detect subclinical manifestation of the disease (prior to diastolic dysfunction). In this review, we elaborately discuss the current scientific evidences to propose circulating microRNAs as promising biomarkers for early detection of diabetic cardiomyopathy and, then, to identify patients at high risk of diabetic cardiomyopathy development. Moreover, here we summarise the research strategies to identify miRNAs as potential biomarkers, present limitations, challenges, and future perspectives.

Indexed as

BiomarkersDiabetic CardiomyopathiesEarly DiagnosisHumansMicroRNAsBiomarkersMicroRNAs

Identifiers

PMID26770988
PMCPMC4684873
OpenAlexW1607966077

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.