Evidence map›Paper›PMID 32878246›Full record

ArticleJournal of clinical medicine2020

Left Ventricular Contraction Duration Is the Most Powerful Predictor of Cardiac Events in LQTS: A Systematic Review and Meta-Analysis.

Mena Abdelsayed, Ibadete Bytyçi, Annika Rydberg, Michael Y Henein

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Mena AbdelsayedInstitute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden.ORCID 0000-0003-0551-3107
Ibadete BytyçiInstitute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden.ORCID 0000-0002-8996-4257
Annika RydbergDepartment of Clinical Sciences, Pediatrics, Umeå University, 90187 Umeå, Sweden.
Michael Y HeneinInstitute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden.
Umeå University · SEFama College · XKSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-QT syndrome (LQTS) is primarily an electrical disorder characterized by a prolonged myocardial action potential. The delay in cardiac repolarization leads to electromechanical (EM) abnormalities, which adds a diagnostic value for LQTS. Prolonged left ventricular (LV) contraction was identified as a potential risk for arrhythmia. The aim of this meta-analysis was to assess the best predictor of all EM parameters for cardiac events (CEs) in LQTS patients.

methodsWe systematically searched all electronic databases up to March 2020, to select studies that assessed the relationship between echocardiographic indices-contraction duration (CD), mechanical dispersion (MD), QRS onset to peak systolic strain (QAoC), and the EM window (EMW); and electrical indices- corrected QT interval (QT

resultsThe meta-analysis showed that LQTS patients had electrical and mechanical abnormalities as compared to controls-QT

conclusionsLQTS is associated with pronounced EM abnormalities, particularly prolonged LV myocardial CD, which is profound in symptomatic patients. These findings highlight the significant role of EM indices like CD in managing LQTS patients.

Indexed as

asymptomaticcontraction durationelectromechanical windowlong-QT syndromesymptomatic

Identifiers

PMID32878246
PMCPMC7565502
OpenAlexW3081630068

What OpenQuestion holds

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LicenceCC BY
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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.