Evidence map›Paper›PMID 34423055›Full record

ArticleComputing in cardiology2020

Personalized Low-Energy Defibrillation Through Feedback Based Resynchronization Therapy.

Ilija Uzelac, Flavio H Fenton

Open access · bronzeAbstract read
In one paragraph

Article in Computing in cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Ilija UzelacSchool of Physics - Georgia Institute of Technology, USA.
Flavio H FentonSchool of Physics - Georgia Institute of Technology, USA.
Georgia Institute of Technology · US

Funding

Integrative High-Resolution Experimental and Multiscale Modeling of Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)R01HL143450 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Flavio H Fenton · 2018 to 2026
$3.2M
NHLBI NIH HHS R01 HL143450
6 · The paper itself

Abstract

aimsDefibrillation shocks may cause AV node burnout, scar formation, and pain. In this study, we present a real-time feedback-based control of ventricular fibrillation (VF) with a series of low-energy shocks using ventricular electrical activity as the feedback input.

methodsIsolated rabbit hearts were Langendorff perfused and stained with a fluorescent V

resultsFeedback based resynchronization therapy converts VT to MT before sinus rhythm is restored with a reduction of defibrillation energy, compared to a single biphasic shock.

conclusionsFeedback based resynchronization therapy is based on real-time sensing of ventricular activity, while a series of low-energy shocks are delivered, reducing the risk of associated side effects.

Indexed as

feedback controlLow-energy defibrillationoptical mapping

Identifiers

PMID34423055
PMCPMC8378784
OpenAlexW3119363765

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.