Evidence map›Paper›PMID 36417121›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

Beta-blockers and mechanical dyssynchrony in heart failure assessed by radionuclide ventriculography.

K A Jones, C A Paterson, S Ray, D W Motherwell, D J Hamilton, A D Small, W Martin, N E R Goodfield

Abstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

K A JonesDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK. kirsty.jones.2@glasgow.ac.uk.
C A PatersonDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK.
S RaySchool of Mathematics and Statistics, University of Glasgow, Glasgow , UK.
D W MotherwellDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK.
D J HamiltonSchool of Physics and Astronomy, University of Glasgow, Glasgow, UK.
A D SmallDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK.
W MartinDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK.
N E R GoodfieldDepartment of Nuclear Cardiology, Glasgow Royal Infirmary, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadionuclide ventriculography (RNVG) can be used to quantify mechanical dyssynchrony and may be a valuable adjunct in the assessment of heart failure with reduced ejection fraction (HFrEF). The study aims to investigate the effect of beta-blockers on mechanical dyssynchrony using novel RNVG phase parameters.

methodsA retrospective study was carried out in a group of 98 patients with HFrEF. LVEF and dyssynchrony were assessed pre and post beta-blockade. Dyssynchrony was assessed using synchrony, entropy, phase standard deviation, approximate entropy, and sample entropy from planar RNVG phase images. Subgroups split by ischemic etiology were also investigated.

resultsAn improvement in dyssynchrony and LVEF was measured six months post beta-blockade for both ischemic and non-ischemic groups.

conclusionsA significant improvement in dyssynchrony and LVEF was measured post beta-blockade using novel measures of dyssynchrony.

Indexed as

Heart FailureVentricular Dysfunction, LeftGated Blood-Pool ImagingHumansRadionuclide VentriculographyRetrospective StudiesStroke Volumeapproximate entropybeta-blockersCardiac dyssynchronyheart failureRNVG phasesample entropy

Identifiers

PMID36417121
PMCPMC9984517

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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.