Evidence map›Paper›PMID 31920716›Full record

ArticleFrontiers in physiology2019

Clinical Usefulness of Computational Modeling-Guided Persistent Atrial Fibrillation Ablation: Updated Outcome of Multicenter Randomized Study.

In-Soo Kim, Byounghyun Lim, Jaemin Shim, Minki Hwang, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Sung-Hwan Kim, Boyoung Joung, Young Keun On and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02171364 (Clinical Usefulness of Virtual Ablation Guided Catheter Ablation of Atrial Fibrillation), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 10% 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.

NCT02171364 nacompletednot on this map

Clinical Usefulness of Virtual Ablation Guided Catheter Ablation of Atrial Fibrillation: Prospective Randomized Study

TypeinterventionalSponsorYonsei UniversityRan2014 to 2015Enrolled40ConditionsAtrial FibrillationArmsVirtual ablation in based 3D CT of patient who diagnosed AF, conventional ablation based on physician's personal experience
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. From bits to bedside: entering the age of digital twins in cardiac electrophysiology.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
    Review
  5. Article
  6. Article
  7. Review
  8. Computational Modeling and Simulation of the Fibrotic Human Atria.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. A systematic review of cardiacProgress in biomedical engineering (Bristol, England) · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Ablation and antiarrhythmic drug effects onFrontiers in cardiovascular medicine · 2022
    Article
  14. Review
  15. Characterizing the arrhythmogenic substrate in personalized models of atrial fibrillation: sensitivity to mesh resolution and pacing protocol in AF models.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 · 2021
    Article
  16. Article
  17. Review
  18. Creation and application of virtual patient cohorts of heart models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  19. Review
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

18 authors at 7 institutions in 1 country.

In-Soo KimYonsei University Health System, Seoul, South Korea.
Byounghyun LimYonsei University Health System, Seoul, South Korea.
Jaemin ShimCardiovascular Center, Korea University, Seoul, South Korea.
Minki HwangYonsei University Health System, Seoul, South Korea.
Hee Tae YuYonsei University Health System, Seoul, South Korea.
Tae-Hoon KimYonsei University Health System, Seoul, South Korea.
Jae-Sun UhmYonsei University Health System, Seoul, South Korea.
Sung-Hwan KimDivision of Cardiology, Catholic University of Korea, Seoul, South Korea.
Boyoung JoungYonsei University Health System, Seoul, South Korea.
Young Keun OnSamsung Medical Center, Sungkyunkwan University, Seoul, South Korea.
Seil OhDivision of Cardiology, Seoul National University, Seoul, South Korea.
Yong-Seog OhDivision of Cardiology, Catholic University of Korea, Seoul, South Korea.
Gi-Byung NamAsan Medical Center, University of Ulsan, Ulsan, South Korea.
Moon-Hyoung LeeYonsei University Health System, Seoul, South Korea.
Eun Bo ShimDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea.
Young-Hoon KimCardiovascular Center, Korea University, Seoul, South Korea.
Hui-Nam PakYonsei University Health System, Seoul, South Korea.
CUVIA-AF1 Investigators
Yonsei University Health System · KRCatholic University of Korea · KRKorea University Medical Center · KRAsan Medical Center · KRKangwon National University · KRSamsung Medical Center · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCatheter ablation of persistent atrial fibrillation (AF) is still challenging, no optimal extra-pulmonary vein lesion set is known. We previously reported the clinical feasibility of computational modeling-guided AF catheter ablation.

methodsWe randomly assigned 118 patients with persistent AF (77.8% men, age 60.8 ± 9.9 years) to the computational modeling-guided ablation group (53 patients) and the empirical ablation group (55 patients) based on the operators' experience. For virtual ablation, four virtual linear and one electrogram-guided lesion sets were tested on patient heart computed tomogram-based models, and the lesion set with the fastest termination time was reported to the operator in the modeling-guided ablation group. The primary outcome was freedom from atrial tachyarrhythmias lasting longer than 30 s after a single procedure.

resultsDuring 31.5 ± 9.4 months, virtual ablation procedures were available in 95.2% of the patients (108/118). Clinical recurrence rate was significantly lower after a modeling-guided ablation than after an empirical ablation (20.8 vs. 40.0%, log-rank

conclusionAmong patients with persistent AF, the computational modeling-guided ablation was superior to the empirical catheter ablation regarding the rhythm outcome. CLINICAL

trial registrationThis study was registered with the ClinicalTrials.gov, number NCT02171364.

Indexed as

atrial fibrillationcatheter ablationcomputational modelingrecurrencevirtual ablation

Identifiers

PMID31920716
PMCPMC6928133
OpenAlexW2996256702

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.