Evidence map›Paper›PMID 38810920›Full record

ArticleHeart rhythm2024

Patient-reported symptomatic events do not adequately reflect atrial arrhythmia.

Zameer Abedin, Maranda Herner, Michael Torre, Yue Zhang, Cody Orton, Ann Lyons, T Jared Bunch, Benjamin A Steinberg

Abstract read
In one paragraph

Article in Heart rhythm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Smartphone app-based approximation of time spent with atrial fibrillation and symptoms in patients after catheter ablation: data from the TeleCheck-AF project.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
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

8 authors.

Zameer AbedinDivision of Cardiovascular Medicine, University of Utah Health, Salt Lake City, Utah.
Maranda HernerDivision of Cardiovascular Medicine, University of Utah Health, Salt Lake City, Utah.
Michael TorreUniversity of Utah Study Design and Biostatistics Center, University of Utah, Salt Lake City, Utah.
Yue ZhangUniversity of Utah Study Design and Biostatistics Center, University of Utah, Salt Lake City, Utah.
Cody OrtonDivision of Cardiovascular Medicine, University of Utah Health, Salt Lake City, Utah.
Ann LyonsData Science Service, University of Utah Health, Salt Lake City, Utah.
T Jared BunchDivision of Cardiovascular Medicine, University of Utah Health, Salt Lake City, Utah.
Benjamin A SteinbergDivision of Cardiovascular Medicine, University of Utah Health, Salt Lake City, Utah. Electronic address: benjamin.steinberg@hsc.utah.edu.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
Optimizing Outcomes for Patients with Heart Failure and Atrial FibrillationK23HL143156 · NHLBI · UNIVERSITY OF UTAH · PI STEINBERG, BENJAMIN ADAM · 2018 to 2022
$951k
Personalized Risk Stratification in Atrial Fibrillation using Portable, Explainable Artificial IntelligenceR56HL168264 · NHLBI · UNIVERSITY OF UTAH · PI STEINBERG, BENJAMIN ADAM · 2023 to 2023
$684k
Overcoming explainability and data availability barriers to broad application of ECG ML screening with a system-wide ECG datasetR21HL172288 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI STEINBERG, BENJAMIN ADAM, TASDIZEN, TOLGA · 2024 to 2025
$231k
American Heart Association-American Stroke Association AHA_18SFRN34110489NCATS NIH HHS UL1 TR000105NCATS NIH HHS UM1 TR004409NCRR NIH HHS UL1 RR025764NHLBI NIH HHS K23 HL143156NHLBI NIH HHS R21 HL172288NHLBI NIH HHS R56 HL168264
6 · The paper itself

Abstract

backgroundManagement of atrial fibrillation is frequently geared toward improving symptoms. Yet, the magnitude of symptom-rhythm discordance is not well known in the setting of monitoring by ambulatory electrocardiography (AECG).

objectiveWe aimed to quantify the symptom-rhythm correlation (SRC) for atrial arrhythmia (atrial tachycardia/atrial fibrillation [AT/AF]) events.

methodsThis was a retrospective cohort analysis of AECG data at a tertiary care center. All AECGs of ≥7 days with at least 1 AT/AF were included. Patient-triggered symptoms included shortness of breath, tiredness, palpitations, dizziness, or passing out with or without concurrent AT/AF. SRC was calculated for each patient. In addition, AT/AF-symptom association was evaluated at the event level by multivariable mixed effects logistic regression.

resultsWe identified 742 patients with qualifying AECG data; mean age was 64 years, 50% were female, and 22% had heart failure. The mean CHA

conclusionWhereas AT/AF events increase the chances of symptoms, there is poor overall correlation between symptomatic events and documented AT/AF. Patient factors and prior treatments influence SRC. An improved understanding of this relationship correlation is needed to optimize clinical outcomes and to improve the rigor of AF research.

Indexed as

Atrial FibrillationElectrocardiography, AmbulatoryAgedFemaleFollow-Up StudiesHeart RateHumansMaleMiddle AgedPatient Reported Outcome MeasuresRetrospective StudiesTachycardia, SupraventricularAmbulatory electrocardiographyAtrial fibrillationCorrelationOutcomesSymptoms

Identifiers

PMID38810920
PMCPMC11527564

What OpenQuestion holds

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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.