Evidence map›Paper›PMID 35930093›Full record

ArticleAnnals of biomedical engineering2023

Treatment Planning for Atrial Fibrillation Using Patient-Specific Models Showing the Importance of Fibrillatory-Areas.

Roya Kamali, Karli Gillete, Jess Tate, Devaki Abhijit Abhyankar, Derek J Dosdall, Gernot Plank, T Jared Bunch, Rob S Macleod, Ravi Ranjan

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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.

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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Are drivers recurring or ephemeral? observations from serial mapping of persistent atrial fibrillation.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
  3. Article
  4. 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

9 authors at 3 institutions in 2 countries.

Roya KamaliDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Karli GilleteInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Jess TateScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
Devaki Abhijit AbhyankarDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Derek J DosdallDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Gernot PlankInstitute of Biophysics, Medical University of Graz, Graz, Austria.
T Jared BunchDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
Rob S MacleodDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
Ravi RanjanDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA. ravi.ranjan@hsc.utah.edu.ORCID http://orcid.org/0000-0002-3321-2435
University of Utah · USMedical University of Graz · ATGeorgia Institute of Technology · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
Myocardial Substrate Driven Mechanistic Insights into Atrial FibrillationR01HL142913 · NHLBI · UNIVERSITY OF UTAH · PI RANJAN, RAVI · 2018 to 2021
$2.4M
Center for Integrative Biomedical Computing Legacy TransitionR24GM136986 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2020 to 2022
$1.6M
NHLBI NIH HHS HL142913NHLBI NIH HHS R01 HL142913NIGMS NIH HHS P41 GM103545NIGMS NIH HHS R24 GM136986
6 · The paper itself

Abstract

Computational models have made it possible to study the effect of fibrosis and scar on atrial fibrillation (AF) and plan future personalized treatments. Here, we study the effect of area available for fibrillatory waves to sustain AF. Then we use it to plan for AF ablation to improve procedural outcomes. CARPentry was used to create patient-specific models to determine the association between the size of residual contiguous areas available for AF wavefronts to propagate and sustain AF [fibrillatory area (FA)] after ablation with procedural outcomes. The FA was quantified in a novel manner accounting for gaps in ablation lines. We selected 30 persistent AF patients with known ablation outcomes. We divided the atrial surface into five areas based on ablation scar pattern and anatomical landmarks and calculated the FAs. We validated the models based on clinical outcomes and suggested future ablation lines that minimize the FAs and terminate rotor activities in simulations. We also simulated the effects of three common antiarrhythmic drugs. In the patient-specific models, the predicted arrhythmias matched the clinical outcomes in 25 of 30 patients (accuracy 83.33%). The average largest FA (FA

Indexed as

Atrial FibrillationCatheter AblationAnti-Arrhythmia AgentsCicatrixHeart AtriaHumansTreatment OutcomeAnti-Arrhythmia AgentsAblationAtrial rotor activitiesComputational atrial fibrillation modelMagnetic resonance imagingMechanisms of atrial fibrillation

Identifiers

PMID35930093
PMCPMC10440744
OpenAlexW4289943466

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.