Evidence map›Paper›PMID 39041221›Full record

ReviewCirculation. Arrhythmia and electrophysiology2024

Mechanistic Insights From Trials of Atrial Fibrillation Ablation: Charting a Course for the Future.

Jeffrey J Goldberger, Raul D Mitrani, Ghaith Zaatari, Sanjiv M Narayan

Registry-linked trialAbstract readReview
In one paragraph

Review in Circulation. Arrhythmia and electrophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997254 (COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT02997254 recruitingnot on this map

COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation

TypeobservationalSponsorStanford UniversityRan2016 to 2027Enrolled1,000ConditionsAtrial Fibrillation, Abnormal Heart Rhythms
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Ablation of atrial fibrillation sources identified through sequential high-density mapping: in silico comparison against anatomy-based approaches.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 · 2026
    Article
  4. Article
  5. Review
  6. 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

4 authors.

Jeffrey J GoldbergerCardiovascular Division, Department of Medicine, University of Miami Miller School of Medicine, FL (J.J.G., R.D.M., G.Z.).
Raul D MitraniCardiovascular Division, Department of Medicine, University of Miami Miller School of Medicine, FL (J.J.G., R.D.M., G.Z.).ORCID 0000-0003-4337-9834
Ghaith ZaatariCardiovascular Division, Department of Medicine, University of Miami Miller School of Medicine, FL (J.J.G., R.D.M., G.Z.).ORCID 0000-0002-7702-1913
Sanjiv M NarayanCardiovascular Division, Department of Medicine and Cardiovascular Institute, Stanford University, Palo Alto, CA (S.M.N.).ORCID 0000-0001-7552-5053

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Patient-Directed Computational Analysis of Atrial FibrillationR01HL122384 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOUTER-JAN RAPPEL · 2015 to 2026
$5.3M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Pathophysiological Significance of Atrial Fibrillation Electrogram PatternsR01HL168117 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEFFREY J GOLDBERGER · 2023 to 2026
$2.7M
Novel medical adjunctive therapy to catheter ablation for atrial fibrillationR01HL145165 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GOLDBERGER, JEFFREY J · 2019 to 2021
$2.0M
NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL122384NHLBI NIH HHS R01 HL145165NHLBI NIH HHS R01 HL149134NHLBI NIH HHS R01 HL168117
6 · The paper itself

Abstract

Success rates for catheter ablation of atrial fibrillation (AF), particularly persistent AF, remain suboptimal. Pulmonary vein isolation has been the cornerstone for catheter ablation of AF for over a decade. While successful for most patients, pulmonary vein isolation alone is still insufficient for a substantial minority. Frustratingly, multiple clinical trials testing a diverse array of additional ablation approaches have led to mixed results, with no current strategy that improves AF outcomes beyond pulmonary vein isolation in all patients. Nevertheless, this large collection of data could be used to extract important insights regarding AF mechanisms and the diversity of the AF syndrome. Mechanistically, the general model for arrhythmogenesis prompts the need for tools to individually assess triggers, drivers, and substrates in individual patients. A key goal is to identify those who will not respond to pulmonary vein isolation, with novel approaches to phenotyping that may include mapping to identify alternative drivers or critical substrates. This, in turn, can allow for the implementation of phenotype-based, targeted approaches that may categorize patients into groups who would or would not be likely to respond to catheter ablation, pharmacological therapy, and risk factor modification programs. One major goal is to predict individuals in whom additional empirical ablation, while feasible, may be futile or lead to atrial scarring or proarrhythmia. This work attempts to integrate key lessons from successful and failed trials of catheter ablation, as well as models of AF, to suggest future paradigms for AF treatment.

Indexed as

Atrial FibrillationCatheter AblationPulmonary VeinsAction PotentialsClinical Trials as TopicForecastingHeart Conduction SystemHeart RateHumansRisk FactorsTreatment Outcomeatrial fibrillationcatheter ablationparadigmproarrhythmiatreatment

Identifiers

PMID39041221
PMCPMC11993243

What OpenQuestion holds

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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.