Evidence map›Paper›PMID 41104347›Full record

ArticleCurrent treatment options in cardiovascular medicine2024

Advanced Electroanatomic Mapping: Current and Emerging Approaches.

Sanjiv M Narayan, Roy M John

Abstract read
In one paragraph

Article in Current treatment options in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  11. Ablation of atrial fibrillation sources identified through sequential high-density mapping: in silico comparison against anatomy-based approaches.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 · 2026
    Article
  12. Review
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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

2 authors.

Sanjiv M NarayanCardiovascular Division, Stanford University, Stanford, CA, USA.
Roy M JohnCardiovascular Division, Stanford University, Stanford, CA, USA.

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Machine Learning for Ventricular ArrhythmiasR01HL162260 · NHLBI · STANFORD UNIVERSITY · PI Sanjiv M Narayan · 2023 to 2026
$2.5M
NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL149134NHLBI NIH HHS R01 HL162260
6 · The paper itself

Abstract

Purpose of review: Contemporary ablation for complex arrhythmias raises several challenges for electroanatomic mapping. We examine how current and emerging systems may meet these challenges, and we outline major unmet needs. Recent findings: The latest versions of the 3 major systems (Carto Summary: Cardiac electroanatomic mapping has reached a mature stage for supraventricular and many ventricular arrhythmias. Novel functional mapping systems have shown success in improving ablation outcomes for AF, VT, and VF in small patient series, but none in randomized trials of broad unselected patient cohorts.

Indexed as

AblationArrhythmiasComputerizedElectrophysiologyMapping

Identifiers

PMID41104347
PMCPMC12525732

What OpenQuestion holds

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LicenceCC BY
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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.