Evidence map›Paper›PMID 34694427›Full record

ReviewHerz2021

Endocardial left ventricular pacing.

Mark K Elliott, Vishal S Mehta, Baldeep Singh Sidhu, Steven Niederer, Christopher A Rinaldi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Herz, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Mark K ElliottSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, SE1 7EH, London, UK. mark.elliott@kcl.ac.uk.
Vishal S MehtaSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, SE1 7EH, London, UK.
Baldeep Singh SidhuSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, SE1 7EH, London, UK.
Steven NiedererSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, SE1 7EH, London, UK.
Christopher A RinaldiSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, SE1 7EH, London, UK.

Funding

Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial FibrillationR01HL152256 · NHLBI · STANFORD UNIVERSITY · PI ENNIS, DANIEL B · 2020 to 2023
$2.8M
NHLBI NIH HHS R01 HL152256Wellcome Trust
6 · The paper itself

Abstract

Cardiac resynchronization therapy (CRT) is an effective treatment for dyssynchronous heart failure; however, 30-50% of patients fail to improve after implant. Endocardial left ventricular (LV) pacing is an alternative therapy for patients who do not respond to conventional CRT or in whom placement of a lead via the coronary sinus is not possible. It enables pacing at a wide variety of sites, without restrictions due to coronary sinus anatomy, and there is evidence of superior electrical resynchronization and hemodynamic response compared with conventional epicardial CRT. In this article, we discuss the potential advantages and disadvantages of endocardial LV pacing compared with conventional CRT, review the evidence for the delivery of endocardial LV pacing using both lead-based and leadless systems, and explore possible future directions of this novel technology.

Indexed as

Cardiac Resynchronization TherapyHeart FailureCardiac Resynchronization Therapy DevicesEndocardiumHeart VentriclesHumansTreatment OutcomeCardiac resynchronization therapyConduction system pacingHeart failureHemodynamicsLeadless pacing

Identifiers

PMID34694427
PMCPMC8543431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.