Evidence map›Paper›PMID 29387459›Full record

ArticleCardiac failure review2017

The Prognostic Role of Tissue Characterisation using Cardiovascular Magnetic Resonance in Heart Failure.

Robert D Adam, James Shambrook, Andrew S Flett

Abstract read
In one paragraph

Article in Cardiac failure review, 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. Tissue characterization using cardiac magnetic resonance imaging and response to cardiac resynchronization therapy.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Should everyone have an MRI in heart failure?Cardiovascular diagnosis and therapy · 2020
    Article
  6. Clinical application and technical considerations of TThe British journal of radiology · 2018
    Review
  7. Incessant PVCs and Cardiomyopathy: Think Outside the Box.Methodist DeBakey cardiovascular journal
    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

3 authors.

Robert D AdamDepartment of Cardiology, University Hospital Southampton,Southampton, UK.
James ShambrookDepartment of Cardiology, University Hospital Southampton,Southampton, UK.
Andrew S FlettDepartment of Cardiology, University Hospital Southampton,Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant advances in heart failure diagnostics and therapy, the prognosis remains poor, with one in three dying within a year of hospital admission. This is at least in part due to the difficulties in risk stratification and personalisation of therapy. The use of left ventricular systolic function as the main arbiter for entrance into clinical trials for drugs and advanced therapy, such as implantable defibrillators, grossly simplifies the complex heterogeneous nature of the syndrome. Cardiovascular magnetic resonance offers a wealth of data to aid in diagnosis and prognostication. The advent of novel cardiovascular magnetic resonance mapping techniques allows us to glimpse some of the pathophysiological mechanisms underpinning heart failure. We review the growing prognostic evidence base using these techniques.

Indexed as

Cardiac magnetic resonancecardiac resynchronisation therapyextracellular volumeheart failureimplantable cardioverter-defibrillatorlate gadolinium enhancementprognosisresponse to therapyT1 mappingT2 techniques

Identifiers

PMID29387459
PMCPMC5739890

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.