Evidence map›Paper›PMID 35106174›Full record

ReviewArrhythmia & electrophysiology review2021

Successful Identification of and Discrimination Between Atrial and Ventricular Arrhythmia with the Aid of Pacing and Defibrillator Devices.

Rahul K Mukherjee, Manav Sohal, Nesan Shanmugam, Simon Pearse, Fadi Jouhra

Open access · goldAbstract readReview
In one paragraph

Review in Arrhythmia & electrophysiology review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Article
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  8. Ventricular arrhythmia detection for contemporary Biotronik and Abbott implantable cardioverter defibrillators with markedly prolonged detection in Biotronik devices.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023
    Article
  9. 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 at 2 institutions in 1 country.

Rahul K MukherjeeDepartment of Cardiology, St George's University Hospital NHS Foundation Trust, London, UK.
Manav SohalDepartment of Cardiology, St George's University Hospital NHS Foundation Trust, London, UK.
Nesan ShanmugamDepartment of Cardiology, St George's University Hospital NHS Foundation Trust, London, UK.
Simon PearseDepartment of Cardiology, Kingston Hospital, London, UK.
Fadi JouhraDepartment of Cardiology, St George's University Hospital NHS Foundation Trust, London, UK.
St George’s University Hospitals NHS Foundation Trust · GBKingston Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of supraventricular tachycardia is the leading cause of inappropriate shock in ICD recipients, and it can be a significant cause of morbidity, psychological distress and worsened clinical outcome. Modern pacing and ICD systems offer a number of discriminators that are integrated into algorithms to differentiate sustained ventricular tachycardia from supraventricular tachycardia. These algorithms can be adapted and optimised for each individual patient to ensure that only those arrhythmias that need treatment through the use of an ICD, are actually treated. This review summarises the single- and dual-chamber discriminators that can be used in the detection and classification of tachyarrhythmias.

Indexed as

atrial fibrillationdiscrimination algorithmSupraventricular tachycardiaventricular tachycardia

Identifiers

PMID35106174
PMCPMC8785083
OpenAlexW4200053351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.