Evidence map›Paper›PMID 28678805›Full record

ArticlePloS one2017

Ablation as targeted perturbation to rewire communication network of persistent atrial fibrillation.

Susumu Tao, Samuel F Way, Joshua Garland, Jonathan Chrispin, Luisa A Ciuffo, Muhammad A Balouch, Saman Nazarian, David D Spragg, Joseph E Marine, Ronald D Berger and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Atrial fibrillation driver identification through regional mutual information networks: a modeling perspective.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

12 authors.

Susumu TaoCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Samuel F WayDepartment of Computer Science, University of Colorado, Boulder, Colorado, United States of America.
Joshua GarlandSanta Fe Institute, Santa Fe, New Mexico, United States of America.
Jonathan ChrispinCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Luisa A CiuffoCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Muhammad A BalouchCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Saman NazarianSection for Cardiac Electrophysiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
David D SpraggCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Joseph E MarineCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Ronald D BergerCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Hugh CalkinsCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Hiroshi AshikagaCardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0003-3689-6892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistent atrial fibrillation (AF) can be viewed as disintegrated patterns of information transmission by action potential across the communication network consisting of nodes linked by functional connectivity. To test the hypothesis that ablation of persistent AF is associated with improvement in both local and global connectivity within the communication networks, we analyzed multi-electrode basket catheter electrograms of 22 consecutive patients (63.5 ± 9.7 years, 78% male) during persistent AF before and after the focal impulse and rotor modulation-guided ablation. Eight patients (36%) developed recurrence within 6 months after ablation. We defined communication networks of AF by nodes (cardiac tissue adjacent to each electrode) and edges (mutual information between pairs of nodes). To evaluate patient-specific parameters of communication, thresholds of mutual information were applied to preserve 10% to 30% of the strongest edges. There was no significant difference in network parameters between both atria at baseline. Ablation effectively rewired the communication network of persistent AF to improve the overall connectivity. In addition, successful ablation improved local connectivity by increasing the average clustering coefficient, and also improved global connectivity by decreasing the characteristic path length. As a result, successful ablation improved the efficiency and robustness of the communication network by increasing the small-world index. These changes were not observed in patients with AF recurrence. Furthermore, a significant increase in the small-world index after ablation was associated with synchronization of the rhythm by acute AF termination. In conclusion, successful ablation rewires communication networks during persistent AF, making it more robust, efficient, and easier to synchronize. Quantitative analysis of communication networks provides not only a mechanistic insight that AF may be sustained by spatially localized sources and global connectivity, but also patient-specific metrics that could serve as a valid endpoint for therapeutic interventions.

Indexed as

AgedAlgorithmsAtrial FibrillationCatheter AblationElectrocardiographyFemaleHeartHeart AtriaHeart Conduction SystemHumansMaleMiddle AgedModels, CardiovascularRecurrenceTreatment Outcome

Identifiers

PMID28678805
PMCPMC5497967

What OpenQuestion holds

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Registered trials

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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.