Evidence map›Paper›PMID 33133642›Full record

ReviewCardiac failure review2020

Heart Failure With Mid-range or Recovered Ejection Fraction: Differential Determinants of Transition.

Davide Margonato, Simone Mazzetti, Renata De Maria, Marco Gorini, Massimo Iacoviello, Aldo P Maggioni, Andrea Mortara

Open access · goldAbstract readReview
In one paragraph

Review in Cardiac failure review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Davide MargonatoDepartment of Clinical Cardiology, Policlinico di Monza Monza, Italy.
Simone MazzettiDepartment of Clinical Cardiology, Policlinico di Monza Monza, Italy.
Renata De MariaNational Research Council, Institute of Clinical Physiology, ASST Great Metropolitan Hospital Niguarda Milan, Italy.
Marco GoriniANMCO Research Center Florence, Italy.
Massimo IacovielloDepartment of Medical and Surgical Sciences, University of Foggia Foggia, Italy.
Aldo P MaggioniANMCO Research Center Florence, Italy.
Andrea MortaraDepartment of Clinical Cardiology, Policlinico di Monza Monza, Italy.
Associazione Nazionale Medici Cardiologi Ospedalieri · ITFondazione Lanza · ITNational Research Council · ITUniversity of Foggia · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent definition of an intermediate clinical phenotype of heart failure (HF) based on an ejection fraction (EF) of between 40% and 49%, namely HF with mid-range EF (HFmrEF), has fuelled investigations into the clinical profile and prognosis of this patient group. HFmrEF shares common clinical features with other HF phenotypes, such as a high prevalence of ischaemic aetiology, as in HF with reduced EF (HFrEF), or hypertension and diabetes, as in HF with preserved EF (HFpEF), and benefits from the cornerstone drugs indicated for HFrEF. Among the HF phenotypes, HFmrEF is characterised by the highest rate of transition to either recovery or worsening of the severe systolic dysfunction profile that is the target of disease-modifying therapies, with opposite prognostic implications. This article focuses on the epidemiology, clinical characteristics and therapeutic approaches for HFmrEF, and discusses the major determinants of transition to HFpEF or HFrEF.

Indexed as

AFHeart failure phenotypeischaemic aetiologymid-range ejection fractionpredictors of transitionprognosis

Identifiers

PMID33133642
PMCPMC7592465
OpenAlexW3093171775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.