Trial reportJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2026
A single-center trial of electrographic flow mapping and concomitant voltage mapping in sinus rhythm and atrial fibrillation (FLOW EVAL-AF).
Trial report in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06260670 (Electrographic Flow Mapping Electrogram Validation in Patients With Persistent Atrial Fibrillation), which is not on this map. Cited by 4 papers.
What it found
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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.
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.
Electrographic Flow Mapping Electrogram Validation in Patients With Persistent Atrial Fibrillation (FLOW EVAL-AF)
Who cites it
4 citing papers in PubMed.
- Electrographic flow (EGF) mapping reveals sex-based differences in EGF patterns with women concentrated in phenotypes that benefit from EGF-guided ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Article
- Ablation for Atrial Fibrillation: Can We Individualise Therapy or Should One Size Fit All?Reviews in cardiovascular medicine · 2025Review
- AF-FLOW Global Registry Confirms Validity of Electrographic Flow Mapping as a Phenotyping Tool for Atrial Fibrillation.Journal of cardiovascular electrophysiology · 2025Observational
- Electrographic Flow Mapping Provides Prognosis for AF Ablation Outcomes Across Two Independent Prospective Patient Cohorts.Journal of clinical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectrographic flow (EGF) mapping reconstructs atrial electrical wavefront propagation, potentially revealing sources of atrial fibrillation (AF). Electrographic flow consistency (EGFC) measures the concurrence of wavefront patterns and may provide insights into atrial substrate health. This study aimed to compare EGF patterns during atrial fibrillation (AF) with sinus rhythm (SR) and explore the correlation between EGFC and regional bipolar voltage.
methodsIn this single-center, prospective study, AF patients underwent mapping of the atria using bipolar voltage and EGF mapping. Mapping was performed during both AF and SR using a 16-electrode grid catheter (bipolar mapping) and a 64-pole basket catheter (EGF mapping). EGFC was computed as the average modulus of individual EGF vectors, reflecting flow pattern consistency.
resultsTen patients were enrolled. EGF identified 11 sources with a mean source activity of 32 ± 9% during AF. Eight out of eleven sources in AF converted to passive "sinks" when mapped in SR. EGFC was significantly lower during AF compared to SR (0.74 ± 0.14 vs 1.0 ± 0.11 AUs, P < 0.01), consistent with EGFC quantifying the more chaotic wavefront propagation during arrhythmia. No spatial correlation between areas of high EGFC during AF and SR was observed. EGFC correlated with bipolar voltage across rhythms and atria (r = 0.647, P < 0.0001).
conclusionEGF patterns varied by rhythm with AF showing lower EGFC values. EGFC correlated with bipolar voltage across rhythms and atria, suggesting its potential as an atrial myopathy marker akin to high-density voltage mapping and offering insights into atrial substrate health. Trial registration ClinicalTrials.gov Identifier: NCT06260670.
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Registered trials
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.