Evidence map›Paper›PMID 38597537›Full record

ArticleArquivos brasileiros de cardiologia2024

Combination of Tele-Cardiology Tools for Cardiovascular Risk Stratification in Primary Care: Data from the PROVAR+ Study.

Lucas Leal Fraga, Bruno Ramos Nascimento, Beatriz Costa Haiashi, Alexandre Melo Ferreira, Mauro Henrique Agapito Silva, Isabely Karoline da Silva Ribeiro, Gabriela Aparecida Silva, Wanessa Campos Vinhal, Mariela Mata Coimbra, Cássia Aparecida Silva and 11 more

Abstract read
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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Hidden in plain sight: AI-ECG triage in global telehealth networks.American journal of preventive cardiology · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Reliability of spectral Doppler in handheld ultrasonographic device.The international journal of cardiovascular imaging · 2025
    Article
  8. Combining Technology with Quality in Medical Care.Arquivos brasileiros de cardiologia · 2024
    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

21 authors.

Lucas Leal FragaHospital das Clínicas da Universidade Federal de Minas Gerais - Serviço de Cardiologia e Cirurgia Carvdiovascular, Belo Horizonte, MG - Brasil.ORCID 0009-0001-4428-6157
Bruno Ramos NascimentoHospital das Clínicas da Universidade Federal de Minas Gerais - Serviço de Cardiologia e Cirurgia Carvdiovascular, Belo Horizonte, MG - Brasil.ORCID 0000-0002-5586-774X
Beatriz Costa HaiashiHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.ORCID 0009-0009-5298-0817
Alexandre Melo FerreiraHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.
Mauro Henrique Agapito SilvaHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.ORCID 0000-0002-2827-4631
Isabely Karoline da Silva RibeiroUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.ORCID 0000-0003-0732-7631
Gabriela Aparecida SilvaUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.
Wanessa Campos VinhalUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.ORCID 0000-0002-1093-4515
Mariela Mata CoimbraUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.ORCID 0009-0000-1096-4047
Cássia Aparecida SilvaHospital das Clínicas da Universidade Federal de Minas Gerais - Serviço de Cardiologia e Cirurgia Carvdiovascular, Belo Horizonte, MG - Brasil.
Cristiana Rosa Lima MachadoUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.
Magda C PiresUniversidade Federal de Minas Gerais - Instituto de Ciências Exatas - Departamento de Estatística, Belo Horizonte, MG - Brasil.
Marina Gomes DinizHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.
Luiza Pereira Afonso SantosFaculdade de Ciências Médicas de Minas Gerais - Faculdade de Medicina, Belo Horizonte, MG - Brasil.
Arthur Maia AmaralUniversidade Federal de Ouro Preto - Departamento de Medicina, Ouro Preto, MG - Brasil.
Lucas Chaves DiamanteHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.
Henrique Leão FavaHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.
Craig SableChildren's National Health System - Cardiology, Washington, District of Columbia - EUA.
Maria Carmo Pereira NunesUniversidade Federal de Minas Gerais - Departamento de Clínica Médica - Faculdade de Medicina, Belo Horizonte, MG - Brasil.
Antonio Luiz P RibeiroHospital das Clínicas da Universidade Federal de Minas Gerais - Centro de Telessaúde, Belo Horizonte, MG - Brasil.ORCID 0000-0002-2740-0042
Clareci Silva CardosoUniversidade Federal de São João del Rei - Campus Centro-Oeste Dona Lindu - Campus Divinópolis, Divinópolis, MG - Brasil.ORCID 0000-0003-0689-1644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTele-cardiology tools are valuable strategies to improve risk stratification.

objectiveWe aimed to evaluate the accuracy of tele-electrocardiography (ECG) to predict abnormalities in screening echocardiography (echo) in primary care (PC).

methodsIn 17 months, 6 health providers at 16 PC units were trained on simplified handheld echo protocols. Tele-ECGs were recorded for final diagnosis by a cardiologist. Consented patients with major ECG abnormalities by the Minnesota code, and a 1:5 sample of normal individuals underwent clinical questionnaire and screening echo interpreted remotely. Major heart disease was defined as moderate/severe valve disease, ventricular dysfunction/hypertrophy, pericardial effusion, or wall-motion abnormalities. Association between major ECG and echo abnormalities was assessed by logistic regression as follows: 1) unadjusted model; 2) model 1 adjusted for age/sex; 3) model 2 plus risk factors (hypertension/diabetes); 4) model 3 plus history of cardiovascular disease (Chagas/rheumatic heart disease/ischemic heart disease/stroke/heart failure). P-values < 0.05 were considered significant.

resultsA total 1,411 patients underwent echo; 1,149 (81%) had major ECG abnormalities. Median age was 67 (IQR 60 to 74) years, and 51.4% were male. Major ECG abnormalities were associated with a 2.4-fold chance of major heart disease on echo in bivariate analysis (OR = 2.42 [95% CI 1.76 to 3.39]), and remained significant after adjustments in models (p < 0.001) 2 (OR = 2.57 [95% CI 1.84 to 3.65]), model 3 (OR = 2.52 [95% CI 1.80 to3.58]), and model 4 (OR = 2.23 [95%CI 1.59 to 3.19]). Age, male sex, heart failure, and ischemic heart disease were also independent predictors of major heart disease on echo.

conclusionsTele-ECG abnormalities increased the likelihood of major heart disease on screening echo, even after adjustments for demographic and clinical variables.

Indexed as

CardiologyCardiovascular DiseasesHeart DiseasesHeart FailureMyocardial IschemiaAgedElectrocardiographyFemaleHumansMalePrimary Health CareRisk Factors

Identifiers

PMID38597537
PMCPMC12092040

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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.