Evidence map›Paper›PMID 28176279›Full record

ReviewCurrent cardiology reports2017

Comparison of Echocardiography, Cardiac Magnetic Resonance, and Computed Tomographic Imaging for the Evaluation of Left Ventricular Myocardial Function: Part 1 (Global Assessment).

Menhel Kinno, Prashant Nagpal, Stephen Horgan, Alfonso H Waller

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guidelines for measuring cardiac physiology in mice.American journal of physiology. Heart and circulatory physiology · 2018
    Guideline
  2. Review
  3. Article
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  5. Article
  6. Article
  7. Observational
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  11. Observational
  12. Article
  13. Review
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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

4 authors.

Menhel KinnoDivision of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Rutgers, The State University of New Jersey, 185 South Orange Avenue, Newark, NJ, 07103, USA.
Prashant NagpalDepartment of Radiology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Stephen HorganDepartment of Cardiovascular Medicine, Morristown Medical Center, Gagnon Cardiovascular Institute, Morristown, NJ, USA.
Alfonso H WallerDivision of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Rutgers, The State University of New Jersey, 185 South Orange Avenue, Newark, NJ, 07103, USA. ahw22@njms.rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing left ventricular function is an essential part of the cardiovascular evaluation as it plays an important role in managing the patient and predicting prognosis. Recent advances in the imaging modalities currently allow a non-invasive comprehensive assessment of cardiac mechanics and precise estimation of cardiovascular hemodynamics. In this review, we will discuss and compare the currently available techniques and novel approaches utilized by echocardiography, cardiac magnetic resonance, and computed tomography for the assessment of global left ventricular performance.

Indexed as

EchocardiographyMagnetic Resonance ImagingTomography, X-Ray ComputedHeartHumansStroke VolumeVentricular Dysfunction, LeftVentricular Function, LeftCardiac magnetic resonance imagingComputed tomographic imagingEchocardiographyEjection fractionGlobal myocardial functionLV contractilityLV volumeRegional myocardial functionStrainStrain rate

Identifiers

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.