Evidence map›Paper›PMID 38475234›Full record

ArticleSensors (Basel, Switzerland)2024

Sensor-Based Measurement Method to Support the Assessment of Robot-Assisted Radiofrequency Ablation.

Hilda Zsanett Marton, Pálma Emese Inczeffy, Zsuzsanna Kis, Attila Kardos, Tamás Haidegger

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
0.4field-weighted citation impact, top 40% of its field
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, 1 citations in OpenAlex.

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

5 authors at 4 institutions in 2 countries.

Hilda Zsanett MartonGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.ORCID 0000-0003-0350-7651
Pálma Emese InczeffyFaculty of Mechanical Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary.ORCID 0009-0000-2839-8629
Zsuzsanna KisGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Attila KardosGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Tamás HaideggerAustrian Center for Medical Innovation and Technology (ACMIT), 2700 Wiener Neustadt, Austria.ORCID 0000-0003-1402-1139
Gottsegen National Cardiovascular Center · HUBudapest University of Technology and Economics · HUObuda University · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital surgery technologies, such as interventional robotics and sensor systems, not only improve patient care but also aid in the development and optimization of traditional invasive treatments and methods. Atrial Fibrillation (AF) is the most common cardiac arrhythmia with critical clinical relevance today. Delayed intervention can lead to heart failure, stroke, or sudden cardiac death. Although many advances have been made in the field of radiofrequency (RF) catheter ablation (CA), it can be further developed by incorporating sensor technology to improve its efficacy and safety. Automation can be utilized to shorten the duration of RF ablation, provided that the interactions between the tissue and the RF tools are well understood and adequately modeled. Further research is needed to develop the optimal catheter design. This paper describes the systematic methodology developed to support robot-assisted RF CA characterization measurements. The article describes the custom instruments developed for the experiments, particularly the contact force limiter, the measurement procedure, and the evaluation of the results, as enablers for new results. The aim was to establish an objective, repeatable, robust measurement method and adjacent procedure.

Indexed as

Atrial FibrillationCatheter AblationRadiofrequency AblationRoboticsCathetersHumansTreatment Outcomeatrial fibrillation treatmentradiofrequency ablationrobot-assisted ablationsensor-driven intervention

Identifiers

PMID38475234
PMCPMC10935224
OpenAlexW4392517199

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.