Evidence map›Paper›PMID 39120658›Full record

SynthesisEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2024

Systematic review and meta-analysis on the impact on outcomes of device algorithms for minimizing right ventricular pacing.

Davide Antonio Mei, Jacopo Francesco Imberti, Marco Vitolo, Niccolò Bonini, Kevin Serafini, Marta Mantovani, Enrico Tartaglia, Chiara Birtolo, Marco Zuin, Matteo Bertini and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Decoding the evidence emerging from the studies comparing conduction system pacing with conventional cardiac resynchronization therapy.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  3. Article
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  6. Adverse outcomes due to atrioventricular synchrony loss induced by temporary VVI pacing in patients with pre-existing DDD stimulation: insights from a device recall scenario.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Observational
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  10. Cardiac implantable electronic device upgrades and downgrades: a Clinical Consensus Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Asia Pacific Heart Rhythm Association (APHRS), Canadian Heart Rhythm Society (CHRS), Heart Rhythm Society (HRS), and the Latin American Heart Rhythm Society (LAHRS).Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  11. Controversy: in heart failure patients with a reduced ejection fraction and left bundle branch block, conduction system pacing can be a valid alternative to biventricular pacing-pro and contra.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Review
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  18. Observational
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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

11 authors.

Davide Antonio MeiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0009-0000-6345-3742
Jacopo Francesco ImbertiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0000-0003-3403-3364
Marco VitoloCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0000-0002-5196-6249
Niccolò BoniniCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0000-0002-2766-5286
Kevin SerafiniCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0000-0002-8849-1179
Marta MantovaniCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0009-0006-7290-5361
Enrico TartagliaCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0009-0006-7655-8651
Chiara BirtoloCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.
Marco ZuinCardiology Unit, Department of Translational Medicine Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-4559-1292
Matteo BertiniCardiology Unit, Department of Translational Medicine Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-5285-7140
Giuseppe BorianiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.ORCID 0000-0002-9820-4815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPhysiological activation of the heart using algorithms to minimize right ventricular pacing (RVPm) may be an effective strategy to reduce adverse events in patients requiring anti-bradycardia therapies. This systematic review and meta-analysis aimed to evaluate current evidence on clinical outcomes for patients treated with RVPm algorithms compared to dual-chamber pacing (DDD). METHODS AND

resultsWe conducted a systematic search of the PubMed database. The predefined endpoints were the occurrence of persistent/permanent atrial fibrillation (PerAF), cardiovascular (CV) hospitalization, all-cause death, and adverse symptoms. We also aimed to explore the differential effects of algorithms in studies enrolling a high percentage of atrioventricular block (AVB) patients. Eight studies (7229 patients) were included in the analysis. Compared to DDD pacing, patients using RVPm algorithms showed a lower risk of PerAF [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.57-0.97] and CV hospitalization (OR 0.77, 95% CI 0.61-0.97). No significant difference was found for all-cause death (OR 1.01, 95% CI 0.78-1.30) or adverse symptoms (OR 1.03, 95% CI 0.81-1.29). No significant interaction was found between the use of the RVPm strategy and studies enrolling a high percentage of AVB patients. The pooled mean RVP percentage for RVPm algorithms was 7.96% (95% CI 3.13-20.25), as compared with 45.11% (95% CI 26.64-76.38) of DDD pacing.

conclusionAlgorithms for RVPm may be effective in reducing the risk of PerAF and CV hospitalization in patients requiring anti-bradycardia therapies, without an increased risk of adverse symptoms. These results are also consistent for studies enrolling a high percentage of AVB patients.

Indexed as

AlgorithmsAtrial FibrillationCardiac Pacing, ArtificialAgedAtrioventricular BlockBradycardiaFemaleHeart RateHeart VentriclesHospitalizationHumansMalePacemaker, ArtificialRisk FactorsTreatment OutcomeVentricular Function, RightAlgorithmsAtrial fibrillationAtrioventricular blockHeart failureMeta-analysisPacemakerSinus node dysfunction

Identifiers

PMID39120658
PMCPMC11346371

What OpenQuestion holds

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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.