Evidence map›Paper›PMID 40960907›Full record

ArticlePacing and clinical electrophysiology : PACE2025

When Legacy Triumphs: Resolving Leadless Pacemaker Programming Failure Caused by Loop Recorder Interference.

Gabriele Pavani, Antonino Previti, Paolo Garrone, Gianpaolo Varalda, Emma Fratini, Alfonso Franzè, Alessandra Chinaglia

Abstract readCase Reports
In one paragraph

Article in Pacing and clinical electrophysiology : PACE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Gabriele PavaniCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.ORCID 0009-0006-5318-4861
Antonino PrevitiCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Paolo GarroneCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Gianpaolo VaraldaCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Emma FratiniCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Alfonso FranzèInterventional Cardiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Alessandra ChinagliaCardiac Electrophysiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing prevalence of co-implanted cardiac electronic devices increases the potential for clinically significant interactions. We describe the case of an 81-year-old man with a Biotronik BIOMONITOR IV implantable loop recorder (ILR) who required a Medtronic MICRA VR leadless pacemaker. Post-implantation, interrogation with the modern Medtronic SmartSync programmer failed due to suspected electromagnetic interference from the ILR. Communication was successfully established using the older Medtronic CareLink 2090 programmer. This report highlights a unique instance of inter-device interference, underscoring the importance of understanding programmer technology and device compatibility in complex clinical scenarios.

Indexed as

Electrocardiography, AmbulatoryEquipment FailurePacemaker, ArtificialAged, 80 and overEquipment DesignEquipment Failure AnalysisHumansMaleBiotronik BIOMONITORdevice interactionelectromagnetic compatibility (EMC)electromagnetic interference (EMI)implantable loop recorder (ILR)leadless pacemakerMedtronic Carelink 2090Medtronic MicraMedtronic SmartSyncprogrammer communication

Identifiers

PMID40960907
PMCPMC12594270

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.