Evidence map›Paper›PMID 32157953›Full record

ArticleJournal of the American Heart Association2020

Risk Score for Predicting 2-Year Mortality in Patients With Chagas Cardiomyopathy From Endemic Areas: SaMi-Trop Cohort Study.

Claudia Di Lorenzo Oliveira, Maria Carmo P Nunes, Enrico Antonio Colosimo, Emilly Malveira de Lima, Clareci S Cardoso, Ariela Mota Ferreira, Lea Campos de Oliveira, Carlos Henrique Valente Moreira, Ana Luiza Bierrenbach, Desireé Sant Ana Haikal and 4 more

Erratum issuedAbstract readComparative StudyValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Prevalence of atrial fibrillation and conduction abnormalities in Chagas disease: a systematic review and an updated meta-analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
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  15. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
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  17. Observational
  18. Review
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  20. Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Claudia Di Lorenzo OliveiraFederal University of São João del-Rei Divinópolis Brazil.
Maria Carmo P NunesHospital das Clínicas and Faculdade de Medicina Universidade Federal de Minas Gerais Belo Horizonte Brazil.
Enrico Antonio ColosimoDepartment of Statistics Instituto de Ciência Exatas Universidade Federal de Minas Gerais Belo Horizonte Brazil.
Emilly Malveira de LimaDepartment of Statistics Instituto de Ciência Exatas Universidade Federal de Minas Gerais Belo Horizonte Brazil.
Clareci S CardosoFederal University of São João del-Rei Divinópolis Brazil.
Ariela Mota FerreiraHealth Science Program Universidade Estadual de Montes Claros Montes Claros Brazil.
Lea Campos de OliveiraLaboratório de Investigação Médica (LIM03) Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo São Paulo Brazil.
Carlos Henrique Valente MoreiraLaboratório de Investigação Médica (LIM03) Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo São Paulo Brazil.
Ana Luiza BierrenbachResearch and Education Institute - Hospital Sírio-Libanês São Paulo Brazil.
Desireé Sant Ana HaikalHealth Science Program Universidade Estadual de Montes Claros Montes Claros Brazil.
Sérgio Viana PeixotoInstituto de Pesquisas René Rachou Fundação Oswaldo Cruz Belo Horizonte Brazil.
Maria Fernanda Lima-CostaInstituto de Pesquisas René Rachou Fundação Oswaldo Cruz Belo Horizonte Brazil.
Ester Cerdeira SabinoInstituto de Medicina Tropical e Departamento de Moléstias Infecciosas e Parasitarias da Faculdade de Medicina da Universidade de São Paulo São Paulo Brazil.
Antonio Luiz P RibeiroHospital das Clínicas and Faculdade de Medicina Universidade Federal de Minas Gerais Belo Horizonte Brazil.

Funding

Sao Paulo-Minas Gerais Tropical Medicine Research Center for Chagas Disease Biomarker DiscoveryU19AI098461 · NIAID · FUNDACAO FACULDADE DE MEDICINA · PI RIBEIRO, ANTONIO LUIZ PINHO · 2017 to 2021
$2.1M
Sao Paulo- MInas Gerais Neglected Tropical Disease Research Center for BiomarkerP50AI098461 · NIAID · FUNDACAO FACULDADE DE MEDICINA · PI SABINO, ESTER CERDEIRA · 2012 to 2016
$1.5M
NIAID NIH HHS P50 AI098461NIAID NIH HHS U19 AI098461
6 · The paper itself

Abstract

Background Risk stratification of Chagas disease patients in the limited-resource setting would be helpful in crafting management strategies. We developed a score to predict 2-year mortality in patients with Chagas cardiomyopathy from remote endemic areas. Methods and Results This study enrolled 1551 patients with Chagas cardiomyopathy from Minas Gerais State, Brazil, from the SaMi-Trop cohort (The São Paulo-Minas Gerais Tropical Medicine Research Center). Clinical evaluation, ECG, and NT-proBNP (N-terminal pro-B-type natriuretic peptide) were performed. A Cox proportional hazards model was used to develop a prediction model based on the key predictors. The end point was all-cause mortality. The patients were classified into 3 risk categories at baseline (low, <2%; intermediate, ≥2% to 10%; high, ≥10%). External validation was performed by applying the score to an independent population with Chagas disease. After 2 years of follow-up, 110 patients died, with an overall mortality rate of 3.505 deaths per 100 person-years. Based on the nomogram, the independent predictors of mortality were assigned points: age (10 points per decade), New York Heart Association functional class higher than I (15 points), heart rate ≥80 beats/min (20 points), QRS duration ≥150 ms (15 points), and abnormal NT-proBNP adjusted by age (55 points). The observed mortality rates in the low-, intermediate-, and high-risk groups were 0%, 3.6%, and 32.7%, respectively, in the derivation cohort and 3.2%, 8.7%, and 19.1%, respectively, in the validation cohort. The discrimination of the score was good in the development cohort (C statistic: 0.82), and validation cohort (C statistic: 0.71). Conclusions In a large population of patients with Chagas cardiomyopathy, a combination of risk factors accurately predicted early mortality. This helpful simple score could be used in remote areas with limited technological resources.

Indexed as

Decision Support TechniquesEndemic DiseasesHealth Status IndicatorsAdolescentAdultAgedAged, 80 and overAge FactorsBiomarkersBrazilChagas CardiomyopathyClinical Decision-MakingElectrocardiographyFemaleHealth StatusHumansBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Chagas cardiomyopathyChagas diseasemortalityrisk predictionrisk score

Identifiers

PMID32157953
PMCPMC7335521

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.