Evidence map›Paper›PMID 39139897›Full record

ArticleJournal of arrhythmia2024

Evaluation of ventricular pacing suppression algorithms in dual chamber pacemaker: Results of "LEADER" study.

Jongmin Hwang, Seongwook Han, Hyoung-Seob Park, Tae-Wan Chung, Minsu Jung, Seung-Jung Park, Chan-Hee Lee, Jin Hee Ahn, Eue-Keun Choi, Myung Hwan Bae 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.

Jongmin HwangDivision of Cardiology, Department of Internal Medicine Keimyung University Dongsan Hospital Daegu Republic of Korea.ORCID https://orcid.org/0000-0001-9710-0945
Seongwook HanDivision of Cardiology, Department of Internal Medicine Keimyung University Dongsan Hospital Daegu Republic of Korea.ORCID https://orcid.org/0000-0002-0496-7249
Hyoung-Seob ParkDivision of Cardiology, Department of Internal Medicine Keimyung University Dongsan Hospital Daegu Republic of Korea.
Tae-Wan ChungDivision of Cardiology, Department of Internal Medicine Keimyung University Dongsan Hospital Daegu Republic of Korea.
Minsu JungDivision of Cardiology, Department of Internal Medicine Keimyung University Dongsan Hospital Daegu Republic of Korea.
Seung-Jung ParkDivision of Cardiology, Department of Internal Medicine Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea.
Chan-Hee LeeDivision of Cardiology, Department of Internal Medicine Yeungnam University Medical Center Daegu Republic of Korea.
Jin Hee AhnDivision of Cardiology, Department of Internal Medicine Pusan National University Hospital Pusan Republic of Korea.ORCID https://orcid.org/0000-0001-6179-1254
Eue-Keun ChoiDivision of Cardiology, Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea.
Myung Hwan BaeDivision of Cardiology, Department of Internal Medicine Kyungpook National University Hospital Daegu Republic of Korea.
Young Soo LeeDivision of Cardiology, Department of Internal Medicine Daegu Catholic University Medical Center Daegu Republic of Korea.
Sang Won ParkCardiovascular Center Bucheon Sejong Hospital Bucheon-si Republic of Korea.
Dae In LeeDepartment of Cardiology, Department of Internal Medicine Korea University Guro Hospital Seoul Republic of Korea.
Yoo-Ri KimDivision of Cardiology, Department of Internal Medicine Chonnam National University Medical School Gwangju Republic of Korea.
Min-Soo AhnDivision of Cardiology, Department of Internal Medicine Yonsei University Wonju College of Medicine Wonju Republic of Korea.
Jaemin ShimDivision of Cardiology, Department of Internal Medicine Korea University Medical Center Seoul Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited research on the intra-individual efficacy of ventricular pacing minimization algorithms developed by Biotronik-the Ventricular Pace Suppression algorithm (VpS) and the Intrinsic Rhythm Support plus algorithm (IRSplus) (BIOTRONIK SE & Co. KG, Berlin, Germany). We performed a randomized pilot trial that evaluated the efficacy of two algorithms in patients with symptomatic sinus node dysfunction (SND) who received a dual-chamber pacemaker. Methods: The trial was conducted in 11 tertiary hospitals in South Korea. The patients were randomized to either the VpS or IRSplus algorithm group after a 3-month period of fixed atrioventricular (AV) delay. The primary outcome was the ventricular pacing percentage (Vp%) at each follow-up visit. The secondary outcomes were the occurrence of heart failure (HF) and atrial fibrillation (AF) during the study period. Results: Data from 131 patients were analyzed. Initially, their average Vp% over 3 months with a fixed AV interval was 14.1 ± 19.4%. Patients were randomly assigned to VpS and IRSplus groups, with 66 and 65 in each. Algorithms reduced average Vp% to 4.0 ± 11.3% at 9 months and 6.7 ± 14.9% at 15 months. These algorithms were more effective for patients with paced AV delay (PAVD) ≤300 ms compared to those with PAVD >300 ms. Both algorithms were equally effective in reducing Vp%. Clinical AF or HF hospitalization was not observed during the study period. Conclusion: The VpS and IRSplus algorithms are effective and safe in minimizing unnecessary ventricular pacing in patients with SND.

Indexed as

atrioventricular hysteresisfixed AV delaymode‐switch algorithmsinus node dysfunctionunnecessary right ventricular pacing

Identifiers

PMID39139897
PMCPMC11317712

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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.