Evidence map›Paper›PMID 39416234›Full record

ArticleJournal of arrhythmia2024

"Real-world" performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study.

Andre Briosa E Gala, Michael T B Pope, Milena Leo, Alexander J Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S Gardner and 6 more

Abstract read
In one paragraph

Article in Journal of arrhythmia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Andre Briosa E GalaDepartment of Cardiology Oxford University Hospitals NHS Foundation Trust Oxford UK.ORCID https://orcid.org/0000-0002-9145-6374
Michael T B PopeDepartment of Cardiology University Hospitals Southampton Southampton UK.
Milena LeoDepartment of Cardiology Oxford University Hospitals NHS Foundation Trust Oxford UK.
Alexander J SharpDepartment of Cardiology Oxford University Hospitals NHS Foundation Trust Oxford UK.
Abhirup BanerjeeDepartment of Engineering Science Institute of Biomedical Engineering University of Oxford Oxford UK.
Duncan FieldDepartment of Cardiology East Suffolk and North Essex NHS Foundation Trust Colchester UK.
Honey ThomasDepartment of Cardiology Northumbria Healthcare NHS Foundation Trust Wansbeck UK.
Richard BalasubramaniamDepartment of Cardiology University Hospitals Dorset NHS Foundation Trust Bournemouth UK.
Ross HunterDepartment of Cardiology Barts Health NHS Trust London UK.
Roy S GardnerScottish National Advanced Heart Failure Service Golden Jubilee National Hospital Glasgow UK.
David WilsonDepartment of Cardiology Worcestershire Royal Hospital Worcester UK.
Mark M GallagherDepartment of Cardiology St George's University Hospitals NHS Foundation Trust London UK.ORCID https://orcid.org/0000-0002-6333-6420
Julian OrmerodDepartment of Cardiology Oxford University Hospitals NHS Foundation Trust Oxford UK.
John PaiseyDepartment of Cardiology University Hospitals Southampton Southampton UK.
Nick CurzenFaculty of Medicine University of Southampton Southampton UK.
Timothy R BettsDepartment of Cardiology Oxford University Hospitals NHS Foundation Trust Oxford UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P-wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations. Methods: We conducted a multicenter retrospective analysis of consecutive patients implanted with a Confirm Rx™ ICM (v1.2) across nine UK hospitals, all with documented AF lasting at least 6 min. Electrocardiograms (ECGs) were manually adjudicated by cardiologists. To account for intra- and inter-reviewer variability, a random sample of 10% of ECGs underwent additional review. Disagreements were resolved by a third reviewer. Diagnostic performance was determined by calculating the gross and patient-averaged positive predictive value (PPV) for AF episodes of different duration. The source of false positive (FP) detection was also categorized. Results: Overall, 16,230 individual ECGs from 232 patients were included. The median AF episode duration was 14 min. R-wave amplitude remained stable during follow-up (0.52 ± 0.27 mV [initial] vs. 0.54 ± 0.29 mV [end of follow-up], Conclusion: The Confirm Rx™ ICM diagnostic performance was modest for all AF episodes (75%), with accuracy increasing for longer AF episodes.

Indexed as

ambulatory monitoringarrhythmia monitoringatrial fibrillationimplantable cardiac monitorimplantable loop recorders

Identifiers

PMID39416234
PMCPMC11474619

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Registered trials

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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.