Evidence map›Paper›PMID 31507001›Full record

Trial reportJournal of cardiovascular electrophysiology2019

Recurrent atrial fibrillation/flutter detection after ablation or cardioversion using the AliveCor KardiaMobile device: iHEART results.

Isaac L Goldenthal, Robert R Sciacca, Teresa Riga, Suzanne Bakken, Maurita Baumeister, Angelo B Biviano, Jose M Dizon, Daniel Wang, Ketty C Wang, William Whang and 2 more

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cardiovascular electrophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02731326 (iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology), which is not on this map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
7.2field-weighted citation impact, top 2% 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.

NCT02731326 nacompletednot on this map

iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology

TypeinterventionalSponsorColumbia UniversityRan2015 to 2020Enrolled264ConditionsAtrial Fibrillation, Atrial FlutterArmsAliveCor, Behavioral Altering Messaging
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 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

12 authors at 4 institutions in 1 country.

Isaac L GoldenthalDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.ORCID 0000-0002-7540-8786
Robert R SciaccaColumbia University School of Nursing, New York, New York.
Teresa RigaDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.
Suzanne BakkenColumbia University School of Nursing, New York, New York.
Maurita BaumeisterDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.
Angelo B BivianoDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.
Jose M DizonDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.
Daniel WangDepartment of Medicine - Cardiology, White Plains Hospital, New York, New York.
Ketty C WangColumbia University School of Nursing, New York, New York.
William WhangDepartment of Medicine - Cardiology, Icahn School of Medicine, New York, New York.ORCID 0000-0003-1103-9931
Kathleen T HickeyColumbia University School of Nursing, New York, New York.
Hasan GaranDepartment of Medicine - Cardiology, Columbia University Irving Medical Center, New York, New York.
Columbia University Irving Medical Center · USColumbia University · USIcahn School of Medicine at Mount Sinai · USWhite Plains Hospital · US

Funding

Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
iPhone Helping Evaluate Atrial Fibrillation Rhythm through Technology (iHEART)R01NR014853 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2014 to 2018
$2.0M
NINR NIH HHS P30 NR016587NINR NIH HHS R01 NR014853NINR NIH HHS R01NR014853
6 · The paper itself

Abstract

objectiveThis study evaluated the impact of daily ECG (electrocardiogram) self-recordings on time to documented recurrent atrial fibrillation (AF) or atrial flutter (AFL) and time to treatment of recurrent arrhythmia in patients undergoing catheter radiofrequency ablation (RFA) or direct current cardioversion (DCCV) for AF/AFL.

backgroundAF recurrence rates after RFA and DCCV are 20% to 45% and 60% to 80%, respectively. Randomized trials comparing mobile ECG devices to standard of care have not been performed in an AF/AFL population after treatment.

methodsOf 262 patients consented, 238 were randomized to either standard of care (123) or to receive the iHEART intervention (115). Patients in the intervention group were provided with and trained to use an AliveCor KardiaMobile ECG monitor, and were instructed to take and transmit daily ECG recordings. Data were collected from transmitted ECG recordings and patients' electronic health records.

resultsIn a multivariate Cox model, the likelihood of recurrence detection was greater in the intervention group (hazard ratio = 1.56, 95% confidence interval [CI]: 1.06-2.30, P = .024). Hazard ratios did not differ significantly for RFA and DCCV procedures. Recurrence during the first month after ablation strongly predicted later recurrence (hazard ratio = 4.53, 95% CI: 2.05-10.00, P = .0006). Time from detection to treatment was shorter for the control group (hazard ratio = 0.33, 95% CI: 0.57-2.92, P < .0001).

conclusionsThe use of mobile ECG self-recording devices allows for earlier detection of AF/AFL recurrence and may empower patients to engage in shared health decision-making.

Indexed as

Action PotentialsCell PhoneElectric CountershockHeart RateRadiofrequency AblationAgedAtrial FibrillationAtrial FlutterElectrocardiography, AmbulatoryFemaleHumansMaleMiddle AgedMobile ApplicationsNew York CityPredictive Value of Testsatrial arrhythmiasatrial fibrillationatrial fluttercardioversionHolter/event recorders

Identifiers

PMID31507001
PMCPMC6819233
OpenAlexW2972905773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.