Evidence map›Paper›PMID 41634330›Full record

Trial reportScientific reports2026

Randomized trial of smartphone application and bed sensor for atrial fibrillation detection in high-risk patients.

Joonas Lehto, Joel Nuotio, Arto Relander, Jussi Jaakkola, Olli Lahdenoja, Tuija Vasankari, Arman Anzanpour, Ismail Elnaggar, Rami Rekola, Jonas Sandelin and 4 more

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05351775 (Cardiovascular Research Consortium - a Randomized Prospective Trial to Assess Low Workload Concept for the Detection of Silent Atrial Fibrillation), which is not on this 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.

NCT05351775 nacompletednot on this map

Cardiovascular Research Consortium - a Randomized Prospective Trial to Assess Low Workload Concept for the Detection of Silent Atrial Fibrillation (AF) and Atrial Fibrillation Burden in Patients At High Risk of AF and Stroke

TypeinterventionalSponsorUniversity of TurkuRan2022 to 2025Enrolled150ConditionsAtrial Fibrillation, Arrhythmias, Cardiac, Heart Diseases, Cardiovascular DiseasesArmsSmartphone application, Bed sensor, Wrist-worn photoplethysmography (PPG) and accelerometer data logger., Patch-holter ECG
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

14 authors.

Joonas LehtoHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Joel NuotioHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Arto RelanderHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Jussi JaakkolaHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Olli LahdenojaDepartment of Computing, University of Turku, Turku, Finland.
Tuija VasankariHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Arman AnzanpourDepartment of Computing, University of Turku, Turku, Finland.
Ismail ElnaggarDepartment of Computing, University of Turku, Turku, Finland.
Rami RekolaDepartment of Computing, University of Turku, Turku, Finland.
Jonas SandelinDepartment of Computing, University of Turku, Turku, Finland.
Tero HurnanenDepartment of Computing, University of Turku, Turku, Finland.
Juhani Ke AiraksinenHeart Center, Turku University Hospital and University of Turku, Turku, Finland.
Tero KoivistoDepartment of Computing, University of Turku, Turku, Finland.
Tuomas O KiviniemiHeart Center, Turku University Hospital and University of Turku, Turku, Finland. tuoski@utu.fi.

Funding

Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union's H2020 Framework Programme (H2020/2014-2020) and National Authorities H2020-ECSEL-2019-IA-876190
6 · The paper itself

Abstract

This two-arm single-center exploratory randomized controlled trial evaluated the efficacy of prolonged rhythm monitoring in atrial fibrillation (AF) detection after an invasive cardiac procedure. Altogether 150 patients were enrolled. In the intervention group (IG), a bed sensor (EMFIT QS) and twice-daily smartphone recordings (CardioSignal app) were used, followed by a 12-lead ECG and a continuous three-to-seven-day ECG monitoring if alerts occurred. The control group (CG) received usual care. Overall, 78 patients were assigned to the IG and 72 to CG. During the three-month follow-up, AF was detected in 6/78 (7.7%) patients in the IG and in 0/72 (0.0%) in the CG (absolute risk difference 7.7%, 95% CI 1.8–13.6%, p = 0.029). After exclusion of patients who withdrew before the 3-month follow-up, 33/68 (48.5%) patients had alarms not leading to ECG-verified AF diagnosis, indicating that the current approach, in its present form, is not suitable for routine clinical implementation. Future studies should concentrate on minimizing alarms not leading to AF diagnosis when developing these novel non-ECG-based technologies. ClinicalTrials.gov Identifier: NCT05351775, 2022/04/28.

Indexed as

Atrial FibrillationMobile ApplicationsSmartphoneAgedElectrocardiographyFemaleHumansMaleMiddle AgedRemote Patient MonitoringAtrial fibrillationBallistocardiographyCardiac surgeryGyrocardiographyScreening

Identifiers

PMID41634330
PMCPMC12920927

What OpenQuestion holds

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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.