Evidence map›Paper›PMID 34194393›Full record

ReviewFrontiers in endocrinology2021

Cardiovascular Magnetic Resonance as Pathophysiologic Tool in Diabetes Mellitus.

Sophie I Mavrogeni, Flora Bacopoulou, George Markousis-Mavrogenis, Aikaterini Giannakopoulou, Ourania Kariki, Vasiliki Vartela, Genovefa Kolovou, Evangelia Charmandari, George Chrousos

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. 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

9 authors at 4 institutions in 1 country.

Sophie I MavrogeniDepartment of Cardiology, Onassis Cardiac Surgery Center, Kallithea, Greece.
Flora BacopoulouUniversity Research Institute of Maternal and Child Health and Precision Medicine, and UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
George Markousis-MavrogenisDepartment of Cardiology, Onassis Cardiac Surgery Center, Kallithea, Greece.
Aikaterini GiannakopoulouDepartment of Pediatric Cardiology, Aghia Sophia Children's Hospital, Athens, Greece.
Ourania KarikiDepartment of Cardiology, Onassis Cardiac Surgery Center, Kallithea, Greece.
Vasiliki VartelaDepartment of Cardiology, Onassis Cardiac Surgery Center, Kallithea, Greece.
Genovefa KolovouDepartment of Cardiology, Onassis Cardiac Surgery Center, Kallithea, Greece.
Evangelia CharmandariDivision of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
George ChrousosUniversity Research Institute of Maternal and Child Health and Precision Medicine, and UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
Onassis Cardiac Surgery Center · GRNational and Kapodistrian University of Athens · GRAcademy of Athens · GRChildren's Hospital Agia Sophia · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus can independently contribute to cardiovascular disease and represents a severe risk factor for premature development of cardiovascular disease. A three-fold higher mortality than the general population has been observed in type 1 diabetes mellitus whereas a two- to four-fold increased probability to develop cardiovascular disease has been observed in type 2 diabetes mellitus. Cardiovascular magnetic resonance, a non-radiative modality, is superior to all other modalities in detecting myocardial infarction. The main cardiovascular magnetic resonance sequences used include a) balanced steady-state free precession (bSSFP) for function evaluation; b) T2-W for oedema detection; c) T1 W for ischemia detection during adenosine stress; and d) late gadolinium enhanced T1-W images (LGE), evaluated 15 min after injection of paramagnetic contrast agent gadolinium, which permit the diagnosis of replacement fibrosis, which appears white in the middle of suppressed, nulled myocardium. Although LGE is the technique of choice for diagnosis of replacement fibrosis, it cannot assess diffuse myocardial fibrosis. The application of T1 mapping (native or pre contrast and post contrast) allows identification of diffuse myocardial fibrosis, which is not detectable my other means. Native T1 and Contrast-enhanced T1 mapping are involved in the extracellular volume fraction (ECV) calculation. Recently, 1H-cardiovascular magnetic resonance spectroscopy has been applied to calculate the amount of myocardial triglycerides, but at the moment it is not part of the routine assessment of diabetes mellitus. The multifaceted nature of cardiovascular magnetic resonance has the great potential of concurrent evaluation of function and myocardial ischemia/fibrosis in the same examination and represents an indispensable tool for accurate diagnosis of cardiovascular disease in diabetes mellitus.

Indexed as

Magnetic Resonance Imaging, CineCoronary Artery DiseaseDiabetes Mellitus, Type 2HeartHumansMagnetic Resonance ImagingMyocardial Infarctioncardiac functioncardiac MRIcardiovascularcoronary artery diseasediabetesheart failuremagnetic resonancemyocardial fibrosis

Identifiers

PMID34194393
PMCPMC8237858
OpenAlexW3168655135

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.