Evidence map›Paper›PMID 38660482›Full record

ArticleFrontiers in cardiovascular medicine2024

Comparison of infection and complication rates associated with transvenous vs. subcutaneous defibrillators in patients with stage 4 chronic kidney disease: a multicenter long-term retrospective follow-up.

Fabian Schiedat, Benjamin Meuterodt, Magnus Prull, Assem Aweimer, Michael Gotzmann, Stephen O'Connor, Christian Perings, Johannes Korth, Thomas Lawo, Ibrahim El-Battrawy and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  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

13 authors at 8 institutions in 2 countries.

Fabian SchiedatDepartment of Cardiology and Angiology, University Hospital Bergmannsheil Bochum of the Ruhr-University Bochum, Bochum, Germany.
Benjamin MeuterodtDepartment of Cardiology, Electrophysiology, Pneumology and Intensive Care Medicine, St. Marien-Hospital Luenen, Academic Hospital of the University Muenster, Luenen, Germany.
Magnus PrullDepartment of Cardiology, Augusta Hospital Bochum, Academic Hospital of the University Duisburg-Essen, Bochum, Germany.
Assem AweimerDepartment of Cardiology and Angiology, University Hospital Bergmannsheil Bochum of the Ruhr-University Bochum, Bochum, Germany.
Michael GotzmannDepartment of Cardiology, Katholische Kliniken Bochum of the Ruhr University Bochum, Bochum, Germany.
Stephen O'ConnorDepartment of Biomedical Engineering, City, University of London, London, United Kingdom.
Christian PeringsDepartment of Cardiology, Electrophysiology, Pneumology and Intensive Care Medicine, St. Marien-Hospital Luenen, Academic Hospital of the University Muenster, Luenen, Germany.
Johannes KorthDepartment of Nephrology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Thomas LawoDepartment of Cardiology, Elisabeth Hospital Recklinghausen, Recklinghausen, Germany.
Ibrahim El-BattrawyDepartment of Cardiology and Angiology, University Hospital Bergmannsheil Bochum of the Ruhr-University Bochum, Bochum, Germany.
Christoph HanefeldDepartment of Cardiology, Katholische Kliniken Bochum of the Ruhr University Bochum, Bochum, Germany.
Andreas MüggeDepartment of Cardiology and Angiology, University Hospital Bergmannsheil Bochum of the Ruhr-University Bochum, Bochum, Germany.
Axel KloppeDepartment of Cardiology and Angiology, University Hospital Bergmannsheil Bochum of the Ruhr-University Bochum, Bochum, Germany.
BG University Hospital Bergmannsheil Bochum · DEKatholisches Klinikum Bochum · DERuhr University Bochum · DESt. Marien Hospital · DECity, University of London · GBKnappschaftskrankenhaus Recklinghausen · DEMarienhospital Gelsenkirchen · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with progressive chronic kidney disease (CKD) are at higher risk of infections and complications from cardiac implantable electronic devices (CIED). In patients with a primary or secondary prophylactic indication, implantable cardiac defibrillators (ICD) can prevent sudden cardiac deaths (SCD). We retrospectively compared transvenous-ICD (TV-ICD) and intermuscularly implanted subcutaneous-ICD (S-ICD) associated infections and complication rates together with hospitalizations in recipients with stage 4 kidney disease. Methods: We retrospectively analyzed 70 patients from six German centers with stage 4 CKD who received either a prophylactic TV-ICD with a single right ventricular lead, 49 patients, or a S-ICD, 21 patients. Follow-Ups (FU) were performed bi-annually. Results: The TV-ICD patients were significantly older. This group had more patients with a history of atrial arrhythmias and more were prescribed anti-arrhythmic medication compared with the S-ICD group. There were no significant differences for other baseline characteristics. The median and interquartile range of FU durations were 55.2 (57.6-69.3) months. During FU, patients with a TV-ICD system experienced significantly more device associated infections ( Conclusion: In this long-term FU of patients with stage 4 CKD and an indication for a prophylactic ICD, the S-ICD was associated with significantly fewer device associated infections, complications and hospitalizations compared with TV-ICDs.

Indexed as

chronic kidney diseasedevice complicationdevice infectionimplantable cardiac defibrillator (ICD)S-ICDsudden cardiac death (SCD)

Identifiers

PMID38660482
PMCPMC11040078
OpenAlexW4394684699

What OpenQuestion holds

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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.