Evidence map›Paper›PMID 34554634›Full record

ArticleJournal of cardiovascular electrophysiology2021

Evaluation of a novel cardiac signal processing system for electrophysiology procedures: The PURE EP 2.0 study.

Amin Al-Ahmad, Bradley Knight, Wendy Tzou, Robert Schaller, Omar Yasin, Deepak Padmanabhan, Jason Zagrodzky, Mohammed Bassiouny, J David Burkhardt, G Joseph Gallinghouse and 3 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05450302 (To Assess the Predictive Value of High Frequency Algorithm of PURE EP for Low Amplitude Signal Detection), which is not on this 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.

NCT05450302 unknown statusnot on this mapstarted 2023, after this paper: background citation

To Assess the Predictive Value of High Frequency Algorithm of PURE EP for Low Amplitude Signal Detection

TypeobservationalSponsorKansas City Heart Rhythm Research FoundationRan2023 to 2023Enrolled150ConditionsCardiac ArrhythmiasArmsPURE EP (Observational Study)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

13 authors.

Amin Al-AhmadTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.ORCID 0000-0002-8547-025X
Bradley KnightElectrophysiology Section, Division of Cardiology, Northwestern University Medical Center, Chicago, Illinois, USA.ORCID 0000-0002-2129-0401
Wendy TzouElectrophysiology Section, Division of Cardiology, University of Colorado, Denver, Colorado, USA.ORCID 0000-0002-8514-1165
Robert SchallerElectrophysiology Section, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Omar YasinElectrophysiology Section, Division of Cardiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-8661-5502
Deepak PadmanabhanSri Jayadeva Institute of Cardiovascular Science and Research, Bengaluru, India.ORCID 0000-0002-9127-9275
Jason ZagrodzkyTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.
Mohammed BassiounyTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.
J David BurkhardtTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.
G Joseph GallinghouseTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.
Moussa MansourElectrophysiology Section, Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Christopher McLeodElectrophysiology Section, Division of Cardiology, Mayo Clinic, Rochester, Minnesota, USA.
Andrea NataleTexas Cardiac Arrhythmia Institute, Austin, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracardiac electrogram data remain one of the primary diagnostic inputs guiding complex ablation procedures. However, the technology to collect, process, and display intracardiac signals has known shortcomings and has not advanced in several decades.

objectiveThe purpose of this study was to evaluate a new signal processing platform, the PURE EP™ system (PURE), in a multi-center, prospective study.

methodsIntracardiac signal data of clinical interest were collected from 51 patients undergoing ablation procedures with PURE, the signal recording system, and the 3D mapping system at the same time stamps. The samples were randomized and subjected to blinded, controlled evaluation by three independent electrophysiologists to determine the overall quality and clinical utility of PURE signals when compared to conventional sources. Each reviewer assessed the same (92) signal sample sets and responded to (235) questions using a 10-point rating scale. If two or more reviewers rated the PURE signal higher than the control, it was deemed superior.

resultsA total of 93% of question responses showed consensus amongst the blinded reviewers. Based on the ratings for each pair of signals, a cumulative total of 164 PURE signals out of 218 (75.2%) were statistically rated as Superior for this data set (p < .001). Only 14 PURE signals out of 218 were rated as Inferior (6.4%).

conclusionThe PURE intracardiac signals were statistically rated as superior when compared to conventional systems.

Indexed as

Cardiac ElectrophysiologyCatheter AblationElectrophysiologic Techniques, CardiacHeartHumansProspective StudiesSignal Processing, Computer-Assistedintracardiac signalssignal acquisitionsignal processingsignals

Identifiers

PMID34554634
PMCPMC9293197

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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.