Evidence map›Paper›PMID 32757084›Full record

ReviewHerzschrittmachertherapie & Elektrophysiologie2020

[Smart and simple : Current role of implantables and wearables in daily practice].

Christian Sohns, Moneeb Khalaph, Leonard Bergau, Philipp Sommer

Abstract readReview
In one paragraph

Review in Herzschrittmachertherapie & Elektrophysiologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Christian SohnsKlinik für Elektrophysiologie/Rhythmologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Ruhr Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Deutschland. csohns@hdz-nrw.de.
Moneeb KhalaphKlinik für Elektrophysiologie/Rhythmologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Ruhr Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Deutschland.
Leonard BergauKlinik für Elektrophysiologie/Rhythmologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Ruhr Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Deutschland.
Philipp SommerKlinik für Elektrophysiologie/Rhythmologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Ruhr Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent developments indeed point towards implantable and wearables, especially smartwatches, as being quite effective and a novel method for screening of arrhythmias in the general population or rhythm monitoring in our patients. The new generation of smart rhythm monitoring devices allows for continuous monitoring and simple real time access to the majority of the data. Therefore, they are well suited to be part of the growing number of so-called remote medicine concepts. Although the technology is not only restricted to smartwatches, single lead ECGs that are portable and phone applications that detect heart rate can serve as event recorders during an episode of symptoms. Furthermore, implanted rhythm monitoring may also communicate with mobile applications to allow more rapid and accurate arrhythmia diagnosis and therapy. The authors aimed to demonstrate and discuss new technical developments focusing on the latest generation of implantables and wearables and their benefit in terms of smart and simple cardiac rhythm monitoring.

Indexed as

Wearable Electronic DevicesArrhythmias, CardiacElectrocardiographyHeart RateHumansMass ScreeningAtrial fibrillationCardiac arrhythmiasMonitoringReaction timeSignal quality

Identifiers

PMID32757084
PMCPMC7403787

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.