Evidence map›Paper›PMID 27147609›Full record

ReviewEuropean heart journal2017

Taxonomy of segmental myocardial systolic dysfunction.

Adam K McDiarmid, Pierpaolo Pellicori, John G Cleland, Sven Plein

Abstract readReview
In one paragraph

Review in European heart journal, 2017. 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
–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. Imaging of Congestion in Cardio-renal Syndrome.Current heart failure reports · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. 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.

Adam K McDiarmidMultidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Pierpaolo PellicoriAcademic Cardiology Unit, University of Hull, Castle Hill Hospital, Kingston upon Hull, UK.
John G ClelandAcademic Cardiology Unit, University of Hull, Castle Hill Hospital, Kingston upon Hull, UK.
Sven PleinMultidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.

Funding

British Heart Foundation FS/10/62/28409British Heart Foundation PG/14/10/30641
6 · The paper itself

Abstract

The terms used to describe different states of myocardial health and disease are poorly defined. Imprecision and inconsistency in nomenclature can lead to difficulty in interpreting and applying trial outcomes to clinical practice. In particular, the terms 'viable' and 'hibernating' are commonly applied interchangeably and incorrectly to myocardium that exhibits chronic contractile dysfunction in patients with ischaemic heart disease. The range of inherent differences amongst imaging modalities used to define myocardial health and disease add further challenges to consistent definitions. The results of several large trials have led to renewed discussion about the classification of dysfunctional myocardial segments. This article aims to describe the diverse myocardial pathologies that may affect the myocardium in ischaemic heart disease and cardiomyopathy, and how they may be assessed with non-invasive imaging techniques in order to provide a taxonomy of myocardial dysfunction.

Indexed as

Acute DiseaseCardiac Imaging TechniquesCardiomyopathy, DilatedCardiomyopathy, HypertrophicChronic DiseaseHeartHeart Failure, DiastolicHumansMyocardial InfarctionMyocardial IschemiaMyocardial StunningMyocardiumMyocytes, CardiacTerminology as TopicHeart failureNon-invasive imagingSystolic dysfunctionTaxonomy

Identifiers

PMID27147609
PMCPMC5381597

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.