Evidence map›Paper›PMID 35387433›Full record

ArticleFrontiers in cardiovascular medicine2022

Remote Design of a Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study: Smart in OAC - AFNET 9.

Larissa Fabritz, D Connolly, E Czarnecki, D Dudek, A Zlahoda-Huzior, E Guasch, D Haase, T Huebner, K Jolly, P Kirchhof and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04579159 (Multicentre, Intern., Inv.-Initiated, Single-arm Case-finding Study of a Cloud Based Analytic Service as Screening Tool to Detect and Quantify Episodes of Absolute Arrhythmia Using an Automated, Wearable PPG-based Monitoring System), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 19% 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.

NCT04579159 nacompletednot on this map

Multicentre, Intern., Inv.-Initiated, Single-arm Case-finding Study of a Cloud Based Analytic Service as Screening Tool to Detect and Quantify Episodes of Absolute Arrhythmia Using an Automated, Wearable PPG-based Monitoring System

TypeinterventionalSponsorAtrial Fibrillation NetworkRan2021 to 2022Enrolled882ConditionsAtrial ArrhythmiaArmsPreventicus heartbeat app in combination with wearables
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

13 authors at 9 institutions in 6 countries.

Larissa FabritzUniversity Center of Cardiovascular Science, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
D ConnollyInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.
E CzarneckiAtrial Fibrillation NETwork, Münster, Germany.
D DudekInstitute of Cardiology, Jagiellonian University Medical College, Krakow, Poland.
A Zlahoda-HuziorDepartment of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland.
E GuaschInstitut Clínic Cardio-Vascular, Hospital Clínic, University of Barcelona, Barcelona, Spain.
D HaaseAtrial Fibrillation NETwork, Münster, Germany.
T HuebnerPreventicus GmbH, Jena, Germany.
K JollyInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
P KirchhofDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ulrich SchottenAtrial Fibrillation NETwork, Münster, Germany.
Antonia ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Renate B SchnabelDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Atrial Fibrillation NETwork · DEUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Birmingham · GBAGH University of Krakow · PLBirmingham City Hospital · GBCentro de Investigación Biomédica en Red · ESInstitute of Cardiology · PLJena Bioscience (Germany) · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Screening for atrial fibrillation and timely initiation of oral anticoagulation, rhythm management, and treatment of concomitant cardiovascular conditions can improve outcomes in high-risk populations. Whether wearables can facilitate screening in older adults is not known. Methods and Analyses: The multicenter, international, investigator-initiated, single-arm case-finding Smartphone and wearable detected atrial arrhythmia in older adults case finding study (Smart in OAC - AFNET 9) evaluates the diagnostic yield of a validated, cloud-based analysis algorithm detecting atrial arrhythmias via a signal acquired by a smartphone-coupled wristband monitoring system in older adults. Unselected participants aged ≥65 years without known atrial fibrillation and not receiving oral anticoagulation are enrolled in three European countries. Participants undergo continuous pulse monitoring using a wristband with a photo plethysmography (PPG) sensor and a telecare analytic service. Participants with PPG-detected atrial arrhythmias will be offered ECG loop monitoring. The study has a virtual design with digital consent and teleconsultations, whilst including hybrid solutions. Primary outcome is the proportion of older adults with newly detected atrial arrhythmias (NCT04579159). Discussion: Smart in OAC - AFNET 9 will provide information on wearable-based screening for PPG-detected atrial arrhythmias in Europe and provide an estimate of the prevalence of atrial arrhythmias in an unselected population of older adults.

Indexed as

atrial fibrillationdigital cardiologydigital consentphoto plethysmographyscreeningstroketelemedicinewearable

Identifiers

PMID35387433
PMCPMC8977585
OpenAlexW4225985073

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.