Evidence map›Paper›PMID 34386118›Full record

ArticleJournal of arrhythmia2021

Spatial concentration and distribution of phase singularities in human atrial fibrillation: Insights for the AF mechanism.

Madeline Schopp, Dhani Dharmaprani, Pawel Kuklik, Jing Quah, Anandaroop Lahiri, Kathryn Tiver, Christian Meyer, Stephan Willems, Andrew D McGavigan, Anand N Ganesan

Open access · goldAbstract read
In one paragraph

Article in Journal of arrhythmia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 2 countries.

Madeline SchoppCollege of Science and Engineering Flinders University of South Australia Adelaide SA Australia.ORCID https://orcid.org/0000-0002-3029-2329
Dhani DharmapraniCollege of Science and Engineering Flinders University of South Australia Adelaide SA Australia.
Pawel KuklikDepartment of Cardiology University Medical Centre Hamburg Germany.
Jing QuahCollege of Medicine and Public Health Flinders University of South Australia Adelaide SA Australia.
Anandaroop LahiriDepartment of Cardiovascular Medicine Flinders Medical Centre Adelaide SA Australia.
Kathryn TiverCollege of Medicine and Public Health Flinders University of South Australia Adelaide SA Australia.
Christian MeyerDepartment of Cardiology University Medical Centre Hamburg Germany.
Stephan WillemsDepartment of Cardiology University Medical Centre Hamburg Germany.
Andrew D McGaviganDepartment of Cardiovascular Medicine Flinders Medical Centre Adelaide SA Australia.
Anand N GanesanCollege of Medicine and Public Health Flinders University of South Australia Adelaide SA Australia.
Flinders University · AUUniversität Hamburg · DEFlinders Medical Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is characterized by the repetitive regeneration of unstable rotational events, the pivot of which are known as phase singularities (PSs). The spatial concentration and distribution of PSs have not been systematically investigated using quantitative statistical approaches.

objectivesWe utilized a geospatial statistical approach to determine the presence of local spatial concentration and global clustering of PSs in biatrial human AF recordings.

methods64-electrode conventional basket (~5 min, n = 18 patients, persistent AF) recordings were studied. Phase maps were produced using a Hilbert-transform based approach. PSs were characterized spatially using the following approaches: (i) local "hotspots" of high phase singularity (PS) concentration using Getis-Ord Gi* (

resultsEpisodes of AF were analyzed from basket catheter recordings (H: 41 epochs, 120 000 s, n = 18 patients). The Getis-Ord Gi* statistic showed local PS hotspots in 12/41 basket recordings. As a metric of spatial clustering, Moran's

conclusionUsing a systematic, quantitative geospatial statistical approach, evidence for the existence of spatial concentrations ("hotspots") of PSs were detectable in human AF, along with evidence of spatial clustering. Geospatial statistical approaches offer a new approach to map and ablate PS clusters using substrate-based approaches.

Indexed as

atrial fibrillationgeospatialmappingphase singularity

Identifiers

PMID34386118
PMCPMC8339121
OpenAlexW3174289101

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.