Evidence map›Paper›PMID 32572736›Full record

ReviewHeart failure reviews2022

Cardiovascular magnetic resonance for the diagnosis and management of heart failure with preserved ejection fraction.

Andrea Barison, Alberto Aimo, Giancarlo Todiere, Chrysanthos Grigoratos, Giovanni Donato Aquaro, Michele Emdin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
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  6. Article
  7. Article
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  9. Review
  10. T2 mapping in myocardial disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  11. Article
  12. 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

6 authors at 2 institutions in 1 country.

Andrea BarisonFondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, 56124, Pisa, Italy. barison@ftgm.it.ORCID 0000-0001-9042-340X
Alberto AimoInstitute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Giancarlo TodiereFondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, 56124, Pisa, Italy.
Chrysanthos GrigoratosFondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, 56124, Pisa, Italy.
Giovanni Donato AquaroFondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, 56124, Pisa, Italy.
Michele EmdinFondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, 56124, Pisa, Italy.
Fondazione Toscana Gabriele Monasterio · ITScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) is characterized by an impaired ventricular filling resulting in the development of dyspnea and other HF symptoms. Even though echocardiography is the cornerstone to demonstrate structural and/or functional alterations of the heart as the underlying cause for the clinical presentation, cardiovascular magnetic resonance (CMR) represents the noninvasive gold standard to assess cardiac morphology, function, and tissue changes. Indeed, CMR allows quantification of biventricular volumes, mass, wall thickness, systolic function, and intra- and extracardiac flows; diastolic functional indices include transmitral and pulmonary venous velocities, left ventricular and left atrial filling velocities from volumetric changes, strain analysis from myocardial tagging, tissue phase contrast, and feature tracking. Moreover, CMR allows superior tissue characterization of the myocardium and the pericardium, which are crucial for a noninvasive etiological and histopathological assessment of HFpEF: conventional T1-weighted, T2-weighted, and post-contrast sequences are now complemented by quantitative mapping sequences, including T1 and T2 mapping as well as extracellular volume quantification. Further experimental sequences comprise diffusion tensor analysis, blood oxygenation-dependent sequences, hyperpolarized contrast agents, spectroscopy, and elastography. Finally, artificial intelligence is beginning to help clinicians deal with an increasing amount of information from CMR exams.

Indexed as

Heart FailureArtificial IntelligenceHeart VentriclesHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyPredictive Value of TestsStroke VolumeVentricular Function, LeftDiastoleHeart failureHFpEFImagingMagnetic resonance

Identifiers

PMID32572736
OpenAlexW3036376031

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.