Evidence map›Paper›PMID 30354409›Full record

ArticleCirculation. Arrhythmia and electrophysiology2018

Rotors Detected by Phase Analysis of Filtered, Epicardial Atrial Fibrillation Electrograms Colocalize With Regions of Conduction Block.

Piotr Podziemski, Stef Zeemering, Pawel Kuklik, Arne van Hunnik, Bart Maesen, Jos Maessen, Harry J Crijns, Sander Verheule, Ulrich Schotten

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

  1. Randomized evaluation of redo ablation procedures of atrial fibrillation with focal impulse and rotor modulation-guided procedures: the REDO-FIRM study.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 · 2023
    Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Electrocardiographic imaging in the atria.Medical & biological engineering & computing · 2023
    Review
  8. Rotor mechanism and its mapping in 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 · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Research Progress of Myocardial Fibrosis and Atrial Fibrillation.Frontiers in cardiovascular medicine · 2022
    Review
  17. Bi-atrial high-density mapping reveals inhibition of wavefront turning and reduction of complex propagation patterns as main antiarrhythmic mechanisms of vernakalant.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
  18. Article
  19. Article
  20. Paradigm shifts in electrophysiological mechanisms of 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 · 2021
    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 1 institution in 1 country.

Piotr PodziemskiDepartment of Physiology, Maastricht University, the Netherlands (P.P., S.Z., A.v.H., S.V.).
Stef ZeemeringDepartment of Physiology, Maastricht University, the Netherlands (P.P., S.Z., A.v.H., S.V.).
Pawel KuklikDepartment of Cardiology, Electrophysiology, University Medical Center Hamburg-Eppendorf, Germany (P.K.).
Arne van HunnikDepartment of Physiology, Maastricht University, the Netherlands (P.P., S.Z., A.v.H., S.V.).
Bart MaesenCardiovascular Research Institute Maastricht (CARIM), the Netherlands (P.P., S.Z., A.v.H., B.M., J.M., H.J.C., S.V., U.S.).
Jos MaessenCardiovascular Research Institute Maastricht (CARIM), the Netherlands (P.P., S.Z., A.v.H., B.M., J.M., H.J.C., S.V., U.S.).
Harry J CrijnsCardiovascular Research Institute Maastricht (CARIM), the Netherlands (P.P., S.Z., A.v.H., B.M., J.M., H.J.C., S.V., U.S.).
Sander VerheuleDepartment of Physiology, Maastricht University, the Netherlands (P.P., S.Z., A.v.H., S.V.).
Ulrich SchottenDepartment of Physiology, Maastricht University, the Netherlands (P.P., S.Z., A.v.H., S.V.).
Maastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral recent studies suggest rotors detected by phase mapping may act as main drivers of persistent atrial fibrillation. However, the electrophysiological nature of detected rotors remains unclear. We performed a direct, 1:1 comparison between phase and activation time mapping in high-density, epicardial, direct-contact mapping files of human atrial fibrillation.

methodsThirty-eight unipolar electrogram files of 10 s duration were recorded in patients with atrial fibrillation (n=20 patients) using a 16×16 electrode array placed on the epicardial surface of the left atrial posterior wall or the right atrial free wall. Phase maps and isochrone wave maps were constructed for all recordings. For each detected phase singularity (PS) with a lifespan of >1 cycle length, the corresponding conduction pattern was investigated in the isochrone wave maps.

resultsWhen using sinusoidal recomposition and Hilbert Transform, 138 PSs were detected. One hundred and four out of 138 PSs were detected within 1 electrode distance (1.5 mm) from a line of conduction block between nonrotating wavefronts detected by activation mapping. Far fewer rotating wavefronts were detected when rotating activity was identified based on wave mapping (18 out of 8219 detected waves). Fourteen out of these 18 cases were detected as PSs in phase mapping. Phase analysis of filtered electrograms produced by simulated wavefronts separated by conduction block also identified PSs on the line of conduction block.

conclusionsPSs identified by phase analysis of filtered epicardial electrograms colocalize with conduction block lines identified by activation mapping. Detection of PSs using phase analysis has a low specificity for identifying rotating wavefronts during human atrial fibrillation using activation mapping.

Indexed as

Action PotentialsElectrophysiologic Techniques, CardiacHeart RateAtrial FibrillationComputer SimulationHeart AtriaHeart BlockHumansModels, CardiovascularPericardiumPredictive Value of TestsSignal Processing, Computer-AssistedTime Factorsarrhythmias, cardiacatrial fibrillationcatheter ablationcomputational modelingelectrophysiologyrotor

Identifiers

PMID30354409
PMCPMC6553551
OpenAlexW2896165253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.