Evidence map›Paper›PMID 39695920›Full record

ReviewExpert review of cardiovascular therapy2024

Optimizing outcomes from cardiac resynchronization therapy: what do recent data and insights say?

Felicity de Vere, Nadeev Wijesuriya, Sandra Howell, Mark K Elliott, Vishal Mehta, Nilanka N Mannakkara, Marina Strocchi, Steven A Niederer, Christopher A Rinaldi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Expert review of cardiovascular therapy, 2024. 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. Review
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

9 authors.

Felicity de VereSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Nadeev WijesuriyaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Sandra HowellSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Mark K ElliottSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Vishal MehtaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Nilanka N MannakkaraSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Marina StrocchiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Steven A NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Christopher A RinaldiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionCardiac Resynchronization Therapy (CRT) is an effective treatment for heart failure (HF) in approximately two-thirds of recipients, with a third remaining CRT 'non-responders.' There is an increasing body of evidence exploring the reasons behind non-response, as well as ways to preempt or counteract it. AREAS COVERED: This review will examine the most recent evidence regarding optimizing outcomes from CRT, as well as explore whether traditional CRT indeed remains the best first-line therapy for electrical resynchronization in HF. We will start by discussing methods of preempting non-response, such as refining patient selection and procedural technique, before reviewing how responses can be optimized post-implantation. For the purpose of this review, evidence was gathered from electronic literature searches (via PubMed and GoogleScholar), with a particular focus on primary evidence published in the last 5 years. EXPERT OPINION: Ever-expanding research in the field of device therapy has armed physicians with more tools than ever to treat dyssynchronous HF. Newer developments, such as artificial intelligence (AI) guided device programming and conduction system pacing (CSP) are particularly exciting, and we will discuss how they could eventually lead to truly personalized care by maximizing outcomes from CRT.

Indexed as

arrhythmiaartificial intelligencebiventricular pacingCardiac resynchronization therapyconduction system pacingdevice-based algorithmsheart failurein silico trials

Identifiers

PMID39695920
PMCPMC11716670

What OpenQuestion holds

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LicenceCC BY
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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.