Evidence map›Paper›PMID 39009776›Full record

Trial reportNature medicine2024

Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial.

Simrat K Gill, Andrey Barsky, Xin Guan, Karina V Bunting, Andreas Karwath, Otilia Tica, Mary Stanbury, Sandra Haynes, Amos Folarin, Richard Dobson and 10 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02391337 (Evaluating Different Rate Control Therapies in Permanent Atrial Fibrillation), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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.

NCT02391337 phase4completednot on this map

Evaluating Different Rate Control Therapies in Permanent Atrial Fibrillation: A Prospective, Randomised, Open-label, Blinded Endpoint Feasibility Pilot Comparing Digoxin and Beta-blockers as Initial Rate Control Therapy

TypeinterventionalSponsorUniversity of BirminghamRan2016 to 2019Enrolled161ConditionsPermanent Atrial FibrillationArmsBisoprolol, Digoxin
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Neuromorphic chips for biomedical engineering.Mechanobiology in medicine · 2025
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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

20 authors.

Simrat K GillInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Andrey BarskyInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Xin GuanInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Karina V BuntingInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Andreas KarwathInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6942-3760
Otilia TicaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6019-122X
Mary StanburyPatient and Public Involvement Team, Birmingham, UK.
Sandra HaynesPatient and Public Involvement Team, Birmingham, UK.
Amos FolarinDepartment of Biostatistics & Health Informatics, King's College London, London, UK.ORCID http://orcid.org/0000-0002-0333-1927
Richard DobsonDepartment of Biostatistics & Health Informatics, King's College London, London, UK.ORCID http://orcid.org/0000-0003-4224-9245
Julia KurpsReal World Data team, The Hyve, Utrecht, the Netherlands.
Folkert W AsselbergsDepartment of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Diederick E GrobbeeJulius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands.
A John CammCardiology Clinical Academic Group, St George's University of London, London, UK.ORCID http://orcid.org/0000-0002-2536-2871
Marinus J C EijkemansAmsterdam University Medical Center, Department of Cardiology, University of Amsterdam, Amsterdam, the Netherlands.
Georgios V GkoutosInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-2061-091X
Dipak KotechaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK. d.kotecha@bham.ac.uk.ORCID http://orcid.org/0000-0002-2570-9812
BigData@Heart Consortium
cardAIc group
RATE-AF trial team

Funding

British Heart Foundation FS/CDRF/21/21032British Heart Foundation (BHF) AA/18/2/34218DH | National Institute for Health Research (NIHR) CDF-2015-08-074Innovative Medicines Initiative (IMI) 116074RCUK | MRC | Medical Research Foundation HDRUK/CFC/01
6 · The paper itself

Abstract

Consumer-grade wearable technology has the potential to support clinical research and patient management. Here, we report results from the RATE-AF trial wearables study, which was designed to compare heart rate in older, multimorbid patients with permanent atrial fibrillation and heart failure who were randomized to treatment with either digoxin or beta-blockers. Heart rate (n = 143,379,796) and physical activity (n = 23,704,307) intervals were obtained from 53 participants (mean age 75.6 years (s.d. 8.4), 40% women) using a wrist-worn wearable linked to a smartphone for 20 weeks. Heart rates in participants treated with digoxin versus beta-blockers were not significantly different (regression coefficient 1.22 (95% confidence interval (CI) -2.82 to 5.27; P = 0.55); adjusted 0.66 (95% CI -3.45 to 4.77; P = 0.75)). No difference in heart rate was observed between the two groups of patients after accounting for physical activity (P = 0.74) or patients with high activity levels (≥30,000 steps per week; P = 0.97). Using a convolutional neural network designed to account for missing data, we found that wearable device data could predict New York Heart Association functional class 5 months after baseline assessment similarly to standard clinical measures of electrocardiographic heart rate and 6-minute walk test (F1 score 0.56 (95% CI 0.41 to 0.70) versus 0.55 (95% CI 0.41 to 0.68); P = 0.88 for comparison). The results of this study indicate that digoxin and beta-blockers have equivalent effects on heart rate in atrial fibrillation at rest and on exertion, and suggest that dynamic monitoring of individuals with arrhythmia using wearable technology could be an alternative to in-person assessment. ClinicalTrials.gov identifier: NCT02391337 .

Indexed as

Adrenergic beta-AntagonistsAtrial FibrillationDigoxinHeart RateWearable Electronic DevicesAgedAged, 80 and overExerciseFemaleHeart FailureHumansMaleSmartphoneAdrenergic beta-AntagonistsDigoxin

Identifiers

PMID39009776
PMCPMC11271403

What Socratic holds

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LicenceCC BY
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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 Socratic graph.