Evidence map›Paper›PMID 39352184›Full record

ArticleArquivos brasileiros de cardiologia2024

A Program to Optimize the Detection of Paroxysmal Atrial Fibrillation: The RITMO Study.

Rodrigo Paashaus de Andrade, Priscila Valverde Oliveira Vitorino, Ana Luiza Lima Sousa, Roberto Dischinger Miranda, Bruno Augusto Alcova Nogueira, Elizabeth do Espírito Santo Cestário, Marcus Vinícius de Oliveira, Luiz Kencis Júnior, Fernando Cenci Tormen, Pablo de Oliveira Antunes and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

13 authors.

Rodrigo Paashaus de AndradePrograma de Pós-graduação em Ciências da Saúde - Faculdade de Medicina - Universidade Federal de Goiás, Goiânia, GO - Brasil.
Priscila Valverde Oliveira VitorinoPrograma de Pós-graduação em Atenção à Saúde - Escola de Ciências Sociais e da Saúde - Pontifícia Universidade Católica de Goiás, Goiânia, GO - Brasil.ORCID 0000-0002-5487-4649
Ana Luiza Lima SousaPrograma de Pós-graduação em Ciências da Saúde - Faculdade de Medicina - Universidade Federal de Goiás, Goiânia, GO - Brasil.
Roberto Dischinger MirandaServiço de Cardiologia, Disciplina de Geriatria e Gerontologia - Universidade Federal de São Paulo, São Paulo, SP - Brasil.ORCID 0000-0002-1582-7268
Bruno Augusto Alcova NogueiraClínica Coração Vivo, São José dos Campos, SP - Brasil.
Elizabeth do Espírito Santo CestárioClínica Cardiológica e UNIFEV, Votuporanga, SP - Brasil.ORCID 0000-0001-8621-0305
Marcus Vinícius de OliveiraCardiodiagnósticos, Goiânia, GO - Brasil.
Luiz Kencis JúniorLapacor, São Paulo, SP - Brasil.
Fernando Cenci TormenClínica Cardiologic, Bento Gonçalves, RS - Brasil.
Pablo de Oliveira AntunesInstituto Médico Tiaminho Daikura, Águas de Lindóia, SP - Brasil.
Ivan Di BeoClimed Clínica Médica, Peruíbe, SP - Brasil.
Luiz Eduardo Guiselli GallinaClínica Cuore, Arapongas, PR - Brasil.
Weimar Kunz Sebba BarrosoPrograma de Pós-graduação em Ciências da Saúde - Faculdade de Medicina - Universidade Federal de Goiás, Goiânia, GO - Brasil.ORCID 0000-0002-1265-1930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common sustained arrythmia, but still underdiagnosed especially among asymptomatic patients.

objectivesTo evaluate a simple strategy to optimize the identification of AF.

methodsAsymptomatic patients aged 65 years or older, with hypertension or heart failure (HF), were included. Data were inserted into the REDCap software platform. Patients were assessed for the risk for AF using the Stroke Risk Analysis (SRA) mathematical algorithm, which was applied on a one-hour electrocardiogram (ECG). All patients at high risk for AF were instructed to follow a home ECG protocol for seven days using a portable Kardia 6 (OMRON, AliveCor®). The Kolmogorov-test was used to test the normality of quantitative variables; those with normal distribution were expressed as mean and standard deviation. A p<0.05 was set as statistically significant.

resultsA total of 423 patients were assessed; 15 were excluded due to absence of SRA, yielding a sample of 408 patients. In 13 (3.2%), AF was identified, 120 (29.4%) were considered at high risk and 275 (67.4%) without increased risk for AF. Of the 120 high-risk patients, 111 successfully completed the seven-day protocol with Kardia; at least one episode of AF was identified in 43 patients.

conclusionThe strategy adopted in the RITMO study was shown to be effective in identifying AF in asymptomatic elderly patients with hypertension or HF, with an incidence of 13.7% (56/408).

Indexed as

AlgorithmsAtrial FibrillationAgedAged, 80 and overAsymptomatic DiseasesElectrocardiographyElectrocardiography, AmbulatoryFemaleHeart FailureHumansHypertensionMaleRisk AssessmentRisk FactorsStatistics, NonparametricTime Factors

Identifiers

PMID39352184
PMCPMC11495592

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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.