Evidence map›Paper›PMID 31724111›Full record

ReviewHeart failure reviews2020

Myocardial phenotypes and dysfunction in HFpEF and HFrEF assessed by echocardiography and cardiac magnetic resonance.

Bostjan Berlot, Chiara Bucciarelli-Ducci, Alberto Palazzuoli, Paolo Marino

Abstract readReview
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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Bostjan BerlotDepartment of Cardiology, University Medical Centre Ljubljana, Zaloska cesta 7, 1000, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-5805-5368
Chiara Bucciarelli-DucciBristol Heart Institute, Bristol National Institute of Health Research (NIHR) Biomedical Research Centre, University Hospitals Bristol NHS Trust and University of Bristol, Bristol, UK. c.bucciarelli-ducci@bristol.ac.uk.
Alberto PalazzuoliCardiovascular Diseases Unit Department of Internal Medicine, Le Scotte Hospital University of Siena Italy, Siena, Italy.
Paolo MarinoDepartment of Translational Medicine, Eastern Piedmont University, Via Solaroli 17, Novara, Italy.

Funding

Department of Health
6 · The paper itself

Abstract

Heart failure (HF) with either reduced or preserved ejection fraction is an increasingly prevalent condition. Cardiac imaging plays a central role in trying to identify the underlying cause of the underlying systolic and diastolic dysfunction, as the imaging findings have implications for patient's management and individualised treatment. The imaging modalities used more frequently in patients with heart failure in clinical routine are echocardiography and cardiac magnetic resonance. Both techniques keep some strengths and weakness due to their spatial and temporal resolution. Notably, several features in the diagnostic algorithm of heart failure with preserved systolic function (HFpEF) may be improved by an integrated approach. This review focuses on the role of each modality in characterising cardiac anatomy, systolic and diastolic function as well as myocardial tissue characterisation in the most common phenotypes of dilated and hypertrophied hearts.

Indexed as

Stroke VolumeDiastoleEchocardiographyHeart FailureHeart VentriclesHumansMagnetic Resonance Imaging, CineMyocardiumPhenotypeSystoleCardiac magnetic resonance imagingEchocardiographyIschemic and non-ischemic heart failureSystolic and diastolic dysfunction

Identifiers

PMID31724111
PMCPMC6985052

What OpenQuestion holds

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Registered trials

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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.