Evidence map›Paper›PMID 34690486›Full record

ReviewCurrent treatment options in cardiovascular medicine2021

Virtual Transformation and the Use of Social Media: Cardiac Electrophysiology Education in the Post-COVID-19 Era.

Janet K Han, Tina Baykaner, Christopher V DeSimone, Susan P Etheridge, Piotr Futyma, Sandeep A Saha, Martin K Stiles, Rakesh Gopinathannair, Rajesh Kabra, Faisal M Merchant

Open access · bronzeAbstract readReview
In one paragraph

Review in Current treatment options in cardiovascular medicine, 2021. 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
1.0field-weighted citation impact, top 20% 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, 8 citations in OpenAlex.

  1. Article
  2. [Digital competence in rhythmology : Training and education].Herzschrittmachertherapie & Elektrophysiologie · 2024
    Review
  3. Electrophysiology fellowship experience and requirements: an EHRA survey.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    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

10 authors at 10 institutions in 3 countries.

Janet K HanDivision of Cardiology, David Geffen School of Medicine at the University of California Los Angeles and VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd 111E, Los Angeles, CA 90073 USA.ORCID 0000-0003-2393-7018
Tina BaykanerDivision of Cardiovascular Medicine, Stanford University, Palo Alto, CA USA.
Christopher V DeSimoneDepartment of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN USA.
Susan P EtheridgeDivision of Pediatric Cardiology, University of Utah and Primary Children's Hospital, Salt Lake City, UT USA.
Piotr FutymaMedical College of Rzeszow University and St. Joseph's Heart Rhythm Center, Rzeszów, Poland.
Sandeep A SahaOregon Heart Center, Salem, OR USA.
Martin K StilesWaikato Clinical School Faculty of Medicine and Health Science, The University of Auckland, Hamilton, New Zealand.
Rakesh GopinathannairKansas City Heart Rhythm Institute & Research Foundation, Overland Park, KS USA.
Rajesh KabraDivision of Cardiology, University of Tennessee Health Science Center, Memphis, TN USA.
Faisal M MerchantDivision of Cardiovascular Disease, Section of Cardiac Electrophysiology and Pacing, Emory University School of Medicine, Atlanta, GA USA.
Emory University · USHeart Rhythm Society · USMayo Clinic · USPalo Alto University · USPrimary Children's Hospital · USSalem Hospital · USUniversity of Auckland · NZUniversity of California, Los Angeles · USUniversity of Rzeszów · PLUniversity of Tennessee Health Science Center · US

Funding

Deep Neural Networks To Treat Atrial FibrillationK23HL145017 · NHLBI · STANFORD UNIVERSITY · PI BAYKANER, TINA · 2019 to 2023
$968k
NHLBI NIH HHS K23 HL145017
6 · The paper itself

Abstract

purpose of reviewThe COVID-19 pandemic has significantly impacted the delivery of education for all specialties, including cardiac electrophysiology. This review will provide an overview of the COVID-19 spurred digital transformation of electrophysiology education for practicing clinicians and trainees in electrophysiology and cover the use of social media in these educational efforts. RECENT

findingsMajor international, national, and local meetings and electrophysiology fellowship-specific educational sessions have transitioned rapidly to virtual and distanced learning, enhanced by social media. This has allowed for participation in educational activities by electrophysiologists on a wider, more global scale. Social media has also allowed rapid dissemination of new advances, techniques, and research findings in real time and to a global audience, but caution must be exercised as pitfalls also exist. SUMMARY: The digital and social media transformation of cardiac electrophysiology education has arrived and revolutionized the way education is delivered and consumed. Continued hybrid in-person and virtual modalities will provide electrophysiologists the flexibility to choose the best option to suit their individual needs and preferences for continuing education.

Indexed as

Cardiac electrophysiologyDigital transformationFellowship educationSocial mediaVirtual education

Identifiers

PMID34690486
PMCPMC8523345
OpenAlexW3207276713

What OpenQuestion holds

Textmetadata
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.