Evidence map›Paper›PMID 40734738›Full record

ArticleHeart rhythm O22025

Left atrial deceleration outperforms regional conduction velocity in predicting arrhythmia recurrence following atrial fibrillation ablation.

Sophia Z Massin, Nathan Denham, Jayant Kakarla, Adrian Suszko, Andrew C T Ha, Sheldon M Singh, Amanvir K Hans, Edward Vigmond, Vijay S Chauhan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart rhythm O2, 2025. 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

9 authors.

Sophia Z MassinDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Nathan DenhamDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Jayant KakarlaDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Adrian SuszkoDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Andrew C T HaDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Sheldon M SinghDivision of Cardiology, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
Amanvir K HansJohnson & Johnson Medical Products, Markham, Ontario, Canada.
Edward VigmondIHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac, France.
Vijay S ChauhanDivision of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The slowest regional conduction velocity (CV Objective: The study sought to assess whether true deceleration (TD) is a better marker than CV Methods: Eighty AF patients and 6 control subjects underwent LA electroanatomic mapping during atrial pacing. The LA was divided into 6 anatomical regions and the regional low-voltage area (LVA), CV Results: A median of 1 to 2 TDs were found in each LA region of AF patients, and the TD Conclusion: TD is a novel metric for quantifying LA remodeling and predicting AA recurrence post-PVI that outperforms CV

Indexed as

Atrial fibrillationAtrial myopathyCatheter ablationConduction velocityDecelerationLow-voltage areas

Identifiers

PMID40734738
PMCPMC12302149

What Socratic 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 Socratic graph.