Evidence map›Paper›PMID 42038212›Full record

ArticleFrontiers in pediatrics2026

Applications of robotic catheter ablation in congenital heart disease.

Paul Khairy, Sabine Ernst

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Paul KhairyElectrophysiology Service and Adult Congenital Heart Disease Centre, Montreal Heart Institute, Université de Montréal, Montreal, QC, Canada.
Sabine ErnstElectrophysiology Service, Royal Brompton Hospital, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic catheter ablation has evolved from a niche technology into a practical platform for treating arrhythmias in patients with congenital heart disease, a population in whom altered vascular routes, surgically created baffles and conduits, chamber enlargement, and prosthetic material frequently render catheter access and stability dominant procedural challenges. Robotic magnetic navigation, the principal robotic system used in congenital heart disease, combines a highly flexible magnet-tipped catheter with externally controlled magnetic fields to enable precise catheter orientation and stable contact in the context of challenging vascular access and complex anatomies. Although the evidence base for robotic ablation in congenital heart disease remains largely observational, contemporary pooled analyses, case series, and focused reports consistently support its feasibility, safety, and high acute effectiveness. Beyond procedural success, these data suggest meaningful advantages in selected domains, including reduced radiation exposure and less operator fatigue during prolonged, high-complexity cases. Importantly, robotic navigation may also serve as an enabling technology in anatomies that are otherwise difficult to access or associated with increased procedural risk using conventional manual approaches. This perspective synthesizes the current literature, proposes practical criteria for selecting cases with congenital heart disease in which robotic ablation should be considered early, and outlines a forward-looking research and implementation agenda emphasizing anatomy-driven indications, and standardized workflows.

Indexed as

arrhythmia (any)catheter ablationcongenital heart diseaserobotic interventionsrobotic magnetic-guided navigation

Identifiers

PMID42038212
PMCPMC13106531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.