Evidence map›Paper›PMID 31784859›Full record

ReviewHeart failure reviews2020

The pivotal role of cardiovascular imaging in the identification and risk stratification of non-compaction cardiomyopathy patients.

Sophie I Mavrogeni, George Markousis-Mavrogenis, Vasiliki Vartela, Dionysia Manolopoulou, Elena Abate, Ali Hamadanchi, Angelos G Rigopoulos, Genovefa Kolovou, Michel Noutsias

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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 3 institutions in 2 countries.

Sophie I MavrogeniOnassis Cardiac Surgery Center, Athens, Greece. sophie.mavrogeni@gmail.com.
George Markousis-MavrogenisOnassis Cardiac Surgery Center, Athens, Greece.
Vasiliki VartelaOnassis Cardiac Surgery Center, Athens, Greece.
Dionysia ManolopoulouOnassis Cardiac Surgery Center, Athens, Greece.
Elena AbateMid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Strasse 40, 06120, Halle (Saale), Germany.
Ali HamadanchiDepartment of Internal Medicine I, Division of Cardiology, Pneumology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University Jena, Jena, Germany.
Angelos G RigopoulosMid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Strasse 40, 06120, Halle (Saale), Germany.
Genovefa KolovouOnassis Cardiac Surgery Center, Athens, Greece.
Michel NoutsiasMid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Strasse 40, 06120, Halle (Saale), Germany.
Onassis Cardiac Surgery Center · GRMartin Luther University Halle-Wittenberg · DEFriedrich Schiller University Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-compaction cardiomyopathy (NCM) is a heterogeneous myocardial disease that can finally lead to heart failure, arrhythmias, and/or embolic events. Therefore, early diagnosis and treatment is of paramount importance. Furthermore, genetic assessment and counseling are crucial for individual risk assessment and family planning. Echocardiography is the first-line imaging modality. However, it is hampered by interobserver variability, depends among others on the quality of the acoustic window, cannot assess reliably the right ventricle and the apex, and cannot provide tissue characterization. Cardiovascular magnetic resonance (CMR) provides a 3D approach allowing imaging of the entire heart, including both left and right ventricle, with low operator variability or limitations due to patient's body structure. Furthermore, tissue characterization, using late gadolinium enhancement (LGE), allows the detection of fibrotic areas possibly representing the substrate for potentially lethal arrhythmias, predicts the severity of LV systolic dysfunction, and differentiates apical thrombus from fibrosis. Conversely, besides being associated with high costs, CMR has long acquisition/processing times, lack of expertise among cardiologists/radiologists, and limited availability. Additionally, in cases of respiratory and/or cardiac motion artifacts or arrhythmias, the cine images may be blurred. However, CMR cannot be applied to patients with not CMR-compatible implanted devices and LGE may be not available in patients with severely reduced GFR. Nevertheless, native T1 mapping can provide detailed tissue characterization in such cases. This tremendous potential of CMR makes this modality the ideal tool for better risk stratification of NCM patient, based not only on functional but also on tissue characterization information.

Indexed as

CardiomyopathiesEchocardiographyGlobal HealthHeart VentriclesHumansMagnetic Resonance Imaging, CineMorbidityPredictive Value of TestsRisk AssessmentStroke VolumeVentricular Function, LeftArrhythmia, embolic eventCardiovascular magnetic resonanceEchocardiographyHeart failureNon-compaction cardiomyopathy

Identifiers

PMID31784859
OpenAlexW2990792222

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.