Evidence map›Paper›PMID 31535746›Full record

ArticleJournal of cardiovascular electrophysiology2019

Non-invasively quantified changes in left ventricular activation predict outcomes in patients undergoing cardiac resynchronization therapy.

Daniel J Friedman, Kasper Emerek, Steen Møller Hansen, Christoffer Polcwiartek, Peter L Sørensen, Zak Loring, Joanne Sutter, Peter Søgaard, Joseph Kisslo, Claus Graff and 1 more

Abstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2019. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. 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

11 authors.

Daniel J FriedmanElectrophysiology Section, Duke University Hospital, Durham, North Carolina.ORCID 0000-0001-5791-1954
Kasper EmerekDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Steen Møller HansenUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Christoffer PolcwiartekDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Peter L SørensenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Zak LoringDivision of Cardiology, Duke University Hospital, Durham, North Carolina.ORCID 0000-0002-4613-582X
Joanne SutterDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Peter SøgaardUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Joseph KissloDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Claus GraffDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Brett D AtwaterElectrophysiology Section, Duke University Hospital, Durham, North Carolina.ORCID 0000-0002-0468-3668

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
Aalborg UniversityDanish Society of CardiologyGerda & Hans Hansen's FoundationKnud Højgaard's Foundation 15-02-7328NHLBI NIH HHS T32 HL069749NIH HHS HL069749The Augustinus Foundation
6 · The paper itself

Abstract

backgroundChanges in left ventricular (LV) activation after cardiac resynchronization therapy (CRT) influence survival but are difficult to quantify noninvasively. METHODS AND

resultsWe studied 527 CRT patients to assess whether noninvasive quantification of changes in LV activation, defined by change (Δ) in QRS area (QRSA), can predict outcomes after CRT. The study outcome was time until LV assist device(LVAD), cardiac transplant, or death. The three-dimensional QRSA was measured from clinical 12 lead ECGs which were transformed into vectorcardiograms using the Kors method. QRSA was calculated as (QRSx

conclusionsCRT induced ΔQRSA was associated with clinically meaningful changes in event-free survival. ΔQRSA may be a novel target to guide lead implantation and device optimization.

Indexed as

Cardiac Resynchronization TherapyCardiac Resynchronization Therapy DevicesAction PotentialsAgedFemaleHeart FailureHeart RateHumansMaleMiddle AgedProgression-Free SurvivalRecovery of FunctionRetrospective StudiesRisk AssessmentRisk FactorsTime Factorscardiac resynchronization therapydyssynchronyelectrocardiographyheart failureoutcomesvectorcardiography

Identifiers

PMID31535746
PMCPMC6818967

What OpenQuestion holds

Textmetadata
LicenceTDM
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.