Evidence map›Paper›PMID 26413928›Full record

Trial reportAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2016

Silent Atrial Fibrillation in Elderly Pacemaker Users: A Randomized Trial Using Home Monitoring.

Ceb Lima, M Martinelli, G L Peixoto, S F Siqueira, Maurício Wajngarten, Rodrigo Tavares Silva, Roberto Costa, Roberto Filho, José Antônio Franchini Ramires

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04437914 (Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using Smartwatch in Comparison to Conventional Electrocardiogram in Patients With Cardiovascular Disease), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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.

NCT04437914 recruitingnot on this mapstarted 2021, after this paper: background citation

Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using Smartwatch in Comparison to Conventional Electrocardiogram in Patients With Cardiovascular Disease

Typeobservational_patient_registrySponsorFederal University of PiauiRan2021 to 2025Enrolled110ConditionsCardiovascular Diseases, Cardiac Arrhythmia, Conduction DisturbanceArmsElectrocardiogram diagnosis
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
    Article
  3. Article
  4. Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022
    Article
  5. Cardiovascular Statistics - Brazil 2020.Arquivos brasileiros de cardiologia · 2020
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Almanac 2015: atrial fibrillation research in Heart.Heart (British Cardiac Society) · 2016
    Review
  12. Article
  13. 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

9 authors at 2 institutions in 1 country.

Ceb LimaHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
M MartinelliHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
G L PeixotoHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
S F SiqueiraHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Maurício WajngartenHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Rodrigo Tavares SilvaHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Roberto CostaHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Roberto FilhoHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
José Antônio Franchini RamiresHeart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Universidade de São Paulo · BRUniversidade Estadual do Piau · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPacemaker with remote monitoring (PRM) may be useful for silent atrial fibrillation (AF) detection. The aims of this study were to evaluate the incidence of silent AF, the role of PRM, and to determine predictors of silent AF occurrence.

methodsThree hundred elderly patients with permanent pacemaker (PPM) were randomly assigned to the remote group (RG) or control group (CG). All patients received PPM with remote monitoring capabilities. Primary end point was AF occurrence rate and the secondary end points were time to AF detection and number of days with AF.

resultsDuring the average follow-up of 15.7±7.7 months, AF episodes were detected in 21.6% (RG = 24% vs CG = 19.3%, P = 0.36]. There was no difference in the time to detect the first AF episode. However, the median time to detect AF recurrence in the RG was lower than that in the CG (54 days vs 100 days, P = 0.004). The average number of days with AF was 16.0 and 51.2 in the RG and CG, respectively (P = 0.028). Predictors of silent AF were left atrial diameter (odds ratio [OR] 1.2; 95% CI = 1.1-1.3; P < 0.001) and diastolic dysfunction (OR 4.8; 95% CI = 1.6-14.0; P = 0.005).

conclusionsThe incidence of silent AF is high in elderly patients with pacemaker; left atrial diameter and diastolic dysfunction were predictors of its occurrence. AF monitoring by means of pacemaker is a valuable tool for silent AF detection and continuous remote monitoring allows early AF recurrence detection and reduces the number of days with AF.

Indexed as

Pacemaker, ArtificialAgedAtrial FibrillationElectrocardiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedMonitoring, PhysiologicRecurrenceatrial fibrillationelderlyhome monitoringpacemaker

Identifiers

PMID26413928
PMCPMC6931447
OpenAlexW1759589444

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.