Evidence map›Paper›PMID 33155067›Full record

ReviewHeart failure reviews2021

The utility of cardiovascular imaging in heart failure with preserved ejection fraction: diagnosis, biological classification and risk stratification.

Gavin A Lewis, Keith Pearce, Simon G Williams, Erik B Schelbert, Anita Macnab, Christopher A Miller

Abstract readReview
In one paragraph

Review in Heart failure reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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.

Gavin A LewisDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.ORCID 0000-0001-6754-836X
Keith PearceManchester University NHS Foundation Trust, Southmoor Road, WythenshaweManchester, M23 9LT, UK.
Simon G WilliamsManchester University NHS Foundation Trust, Southmoor Road, WythenshaweManchester, M23 9LT, UK.
Erik B SchelbertDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Anita MacnabManchester University NHS Foundation Trust, Southmoor Road, WythenshaweManchester, M23 9LT, UK.
Christopher A MillerDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PL, UK. Christopher.Miller@manchester.ac.uk.

Funding

Academy of Medical Sciences AMS-SGCL12-MILLERBritish Heart Foundation FS/17/47/32805Department of Health CS-2015-15-003
6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) does not exist as a singular clinical or pathological entity but as a syndrome encompassing a wide range of clinical and biological phenotypes. There is an urgent need to progress from the unsuccessful 'one-size-fits-all' approach to more precise disease classification, in order to develop targeted therapies, personalise risk stratification and guide future research. In this regard, this review discusses the current and emerging roles of cardiovascular imaging for the diagnosis of HFpEF, for distilling HFpEF into distinct disease entities according to underlying pathobiology and for risk stratification.

Indexed as

Cardiovascular SystemHeart FailureHumansPhenotypeRisk AssessmentStroke VolumeCardiovascular imagingDiagnosisDisease classificationHeart failure with preserved ejection fractionRisk stratification

Identifiers

PMID33155067
PMCPMC8024231

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.