Evidence map›Paper›PMID 28231848›Full record

ReviewCardiovascular diabetology2017

Diagnostic approaches for diabetic cardiomyopathy.

A Lorenzo-Almorós, J Tuñón, M Orejas, M Cortés, J Egido, Ó Lorenzo

Open access · goldAbstract readReview
In one paragraph

Review in Cardiovascular diabetology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 1 pooled it
15.2field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 1 synthesis or guideline pooled it, 262 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Effect of Imperatorin on Apoptosis of Myocardial Tissue in Diabetic Rats.Bulletin of experimental biology and medicine · 2026
    Article
  8. Diabetes and cancer: therapeutic implications.Cardio-oncology (London, England) · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Article
  16. Article
  17. ALKBH5-Mediated MAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Review
  19. Article
  20. Article

72 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

A Lorenzo-AlmorósRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma, Av. Reyes Católicos 2, 28040, Madrid, Spain.
J TuñónDepartment of Cardiology, Fundación Jiménez Díaz, Madrid, Spain.
M OrejasDepartment of Cardiology, Fundación Jiménez Díaz, Madrid, Spain.
M CortésDepartment of Cardiology, Fundación Jiménez Díaz, Madrid, Spain.
J EgidoRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma, Av. Reyes Católicos 2, 28040, Madrid, Spain.
Ó LorenzoRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma, Av. Reyes Católicos 2, 28040, Madrid, Spain. olorenzo@fjd.es.ORCID 0000-0001-5515-6078
Hospital Universitario Fundación Jiménez Díaz · ESCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a cardiac dysfunction which affects approximately 12% of diabetic patients, leading to overt heart failure and death. However, there is not an efficient and specific methodology for DCM diagnosis, possibly because molecular mechanisms are not fully elucidated, and it remains asymptomatic for many years. Also, DCM frequently coexists with other comorbidities such as hypertension, obesity, dyslipidemia, and vasculopathies. Thus, human DCM is not specifically identified after heart failure is established. In this sense, echocardiography has been traditionally considered the gold standard imaging test to evaluate the presence of cardiac dysfunction, although other techniques may cover earlier DCM detection by quantification of altered myocardial metabolism and strain. In this sense, Phase-Magnetic Resonance Imaging and 2D/3D-Speckle Tracking Echocardiography may potentially diagnose and stratify diabetic patients. Additionally, this information could be completed with a quantification of specific plasma biomarkers related to related to initial stages of the disease. Cardiotrophin-1, activin A, insulin-like growth factor binding protein-7 (IGFBP-7) and Heart fatty-acid binding protein have demonstrated a stable positive correlation with cardiac hypertrophy, contractibility and steatosis responses. Thus, we suggest a combination of minimally-invasive diagnosis tools for human DCM recognition based on imaging techniques and measurements of related plasma biomarkers.

Indexed as

EchocardiographyMagnetic Resonance ImagingPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonDiabetic CardiomyopathiesHumansBiomarkerDiabetic cardiomyopathyDiagnosisImaging

Identifiers

PMID28231848
PMCPMC5324262
OpenAlexW2591558322

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.