Evidence map›Paper›PMID 34925071›Full record

ReviewFrontiers in physiology2021

Advances in Cardiac Pacing: Arrhythmia Prediction, Prevention and Control Strategies.

Mehrie Harshad Patel, Shrikanth Sampath, Anoushka Kapoor, Devanshi Narendra Damani, Nikitha Chellapuram, Apurva Bhavana Challa, Manmeet Pal Kaur, Richard D Walton, Stavros Stavrakis, Shivaram P Arunachalam and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 at 4 institutions in 2 countries.

Mehrie Harshad PatelDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Shrikanth SampathDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Anoushka KapoorDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Devanshi Narendra DamaniDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Nikitha ChellapuramDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States.
Apurva Bhavana ChallaDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Manmeet Pal KaurDepartment of Medicine, GAIL, Mayo Clinic, Rochester, MN, United States.
Richard D WaltonIHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.
Stavros StavrakisHeart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Shivaram P ArunachalamDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Kanchan KulkarniIHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.
Mayo Clinic in Arizona · USCentre de Recherche Cardio-Thoracique de Bordeaux · FRInserm · FRUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac arrhythmias constitute a tremendous burden on healthcare and are the leading cause of mortality worldwide. An alarming number of people have been reported to manifest sudden cardiac death as the first symptom of cardiac arrhythmias, accounting for about 20% of all deaths annually. Furthermore, patients prone to atrial tachyarrhythmias such as atrial flutter and fibrillation often have associated comorbidities including hypertension, ischemic heart disease, valvular cardiomyopathy and increased risk of stroke. Technological advances in electrical stimulation and sensing modalities have led to the proliferation of medical devices including pacemakers and implantable defibrillators, aiming to restore normal cardiac rhythm. However, given the complex spatiotemporal dynamics and non-linearity of the human heart, predicting the onset of arrhythmias and preventing the transition from steady state to unstable rhythms has been an extremely challenging task. Defibrillatory shocks still remain the primary clinical intervention for lethal ventricular arrhythmias, yet patients with implantable cardioverter defibrillators often suffer from inappropriate shocks due to false positives and reduced quality of life. Here, we aim to present a comprehensive review of the current advances in cardiac arrhythmia prediction, prevention and control strategies. We provide an overview of traditional clinical arrhythmia management methods and describe promising potential pacing techniques for predicting the onset of abnormal rhythms and effectively suppressing cardiac arrhythmias. We also offer a clinical perspective on bridging the gap between basic and clinical science that would aid in the assimilation of promising anti-arrhythmic pacing strategies.

Indexed as

alternansarrhythmiascontrolnon-linear dynamicspacingprediction

Identifiers

PMID34925071
PMCPMC8674736
OpenAlexW4200505438

What Socratic 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 Socratic graph.