Evidence map›Paper›PMID 31820130›Full record

ArticleEJNMMI research2019

Low septal to lateral wall

Ganna Degtiarova, Piet Claus, Jürgen Duchenne, Marta Cvijic, Georg Schramm, Johan Nuyts, Jens-Uwe Voigt, Olivier Gheysens

Registry-linked trialAbstract read
In one paragraph

Article in EJNMMI research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02537782 (Investigating Inhomogeneities of Regional Myocardial WORKload and Metabolism in a Cardiac Resynchronisation Therapy Patient Population), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02537782 naunknown statusnot on this map

Investigating Inhomogeneities of Regional Myocardial WORKload and Metabolism in a Cardiac Resynchronisation Therapy Patient Population

TypeinterventionalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2015 to 2023Enrolled200ConditionsLeft Ventricular Dyssynchrony, Heart Failure, Left Bundle Branch Block, CardiomyopathyArmsCardiac resynchronisation therapy, Echocardiography, Magnetic Resonance Imaging, Positron Emission Tomography
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Ganna DegtiarovaDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8525-0938
Piet ClausDepartment of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Jürgen DuchenneDepartment of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Marta CvijicDepartment of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.
Georg SchrammDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Johan NuytsDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Jens-Uwe VoigtDepartment of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
Olivier GheysensDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium. olivier.gheysens@uzleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to better understand the concept of mechanical dyssynchrony, a promising hallmark of cardiac resynchronization therapy (CRT) response, we investigated its effect on regional myocardial metabolism and myocardial blood flow (MBF) in non-ischemic CRT candidates.

resultsThirty consecutive non-ischemic CRT eligible patients underwent static

conclusionsNon-ischemic heart failure patients with mechanical dyssynchrony demonstrate heterogeneous regional metabolism and MBF compared with patients without dyssynchrony. However, only

trial registrationClinicaltrials, NCT02537782. Registered 2 September 2015.

Indexed as

Cardiac resynchronization therapyMechanical dyssynchronyMetabolismPerfusionPositron emission tomography

Identifiers

PMID31820130
PMCPMC6901655

What OpenQuestion holds

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Registered trials

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.