Evidence map›Paper›PMID 41835105›Full record

ReviewArrhythmia & electrophysiology review2026

Spatial Autocorrelation Dimension (

Kathryn D Tiver, Dhani Dharmaprani, Anand N Ganesan

Abstract readReview
In one paragraph

Review in Arrhythmia & electrophysiology review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kathryn D TiverCollege of Medicine and Public Health, Flinders University of South Australia Adelaide, Australia.ORCID https://orcid.org/0000-0003-3340-2113
Dhani DharmapraniCollege of Science and Engineering, Flinders University of South Australia Adelaide, Australia.
Anand N GanesanCollege of Medicine and Public Health, Flinders University of South Australia Adelaide, Australia.ORCID https://orcid.org/0000-0002-2734-3025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AF may be considered as a state of spatiotemporal disorder. As such, the behaviour of well-studied disordered systems in nature could be used to understand and predict AF dynamics. In this paper we review the scientific basis of a novel means of quantifying disorder in AF, namely spatial autocorrelation dimension (

Indexed as

AFchaos theoryspatiotemporally disordered systems

Identifiers

PMID41835105
PMCPMC12983144

What OpenQuestion holds

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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.