Evidence map›Paper›PMID 33111908›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2020

Clinical and epidemiological aspects of chronic Chagas disease from Southern Brazil.

Kárita Cláudia Freitas Lidani, Thaisa Lucas Sandri, Ricardo Castillo-Neyra, Fabiana Antunes Andrade, Cesar Maistro Guimarães, Eduardo Nunes Marques, Marcia Holsbach Beltrame, Robert Hugh Gilman, Iara de Messias-Reason

Open access · diamondAbstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% 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.

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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. One Health Approach toTropical medicine and infectious disease · 2025
    Article
  4. Observational
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Exhausted PD-1Frontiers in immunology · 2022
    Article
  11. 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 5 institutions in 3 countries.

Kárita Cláudia Freitas LidaniUniversidade Federal do Paraná, Departamento de Patologia Médica, Hospital de Clínicas, Curitiba, PR, Brasil.ORCID http://orcid.org/0000-0003-4675-8733
Thaisa Lucas SandriUniversity of Tübingen, Institute of Tropical Medicine, Tübingen, BW, Germany.
Ricardo Castillo-NeyraUniversity of Pennsylvania, Perelman School of Medicine, Department of Biostatistics, Epidemiology & Informatics, Philadelphia, PA, USA.
Fabiana Antunes AndradeUniversidade Federal do Paraná, Departamento de Patologia Médica, Hospital de Clínicas, Curitiba, PR, Brasil.
Cesar Maistro GuimarãesUniversidade Federal do Paraná, Hospital de Clínicas, Unidade de Terapia Intensiva, Curitiba, PR, Brasil.
Eduardo Nunes MarquesUniversidade Federal do Paraná, Departamento de Patologia Médica, Hospital de Clínicas, Curitiba, PR, Brasil.
Marcia Holsbach BeltrameUniversidade Federal do Paraná, Departamento de Genética, Laboratório de Genética Molecular Humana, Curitiba, PR, Brasil.
Robert Hugh GilmanJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD, USA.
Iara de Messias-ReasonUniversidade Federal do Paraná, Departamento de Patologia Médica, Hospital de Clínicas, Curitiba, PR, Brasil.
Hospital de Clínicas Universidade Federal do Paraná · BRCalifornia University of Pennsylvania · USJohns Hopkins University · USUniversidade Federal do Paraná · BRUniversity of Tübingen · DE

Funding

Predictors of cardiomyopathy progression in a Chagas disease cohort in BoliviaR01AI107028 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2014 to 2023
$6.6M
NIAID NIH HHS R01 AI107028
6 · The paper itself

Abstract

introductionPatients with Chagas disease (CD), caused by Trypanosoma cruzi, present a higher risk of developing other chronic diseases, which may contribute to CD severity. Since CD is underreported in the southern state of Paraná, Brazil, we aimed to characterize clinical and epidemiological aspects of individuals chronically infected with T. cruzi in Southern Brazil.

methodsA community hospital-based study was performed, recording clinical/demographic characteristics of 237 patients with CD from Southern Brazil. To estimate the association between different forms of CD and sociodemographic and clinical variables, multiple logistic regression models were built using the Akaike information criterion.

resultsMean age was 57.5 years and 59% were females. Most patients' (60%) place of origin/birth was within Paraná and they were admitted to the CD outpatient clinic after presenting with cardiac/digestive symptoms (64%). The predominant form of CD was cardiac (53%), followed by indeterminate (36%), and digestive (11%). The main electrocardiographic changes were in the right bundle branch block (39%) and left anterior fascicular block (32%). The average number of comorbidities per patient was 3.9±2.3; systemic arterial hypertension was most common (64%), followed by dyslipidemia (34%) and diabetes (19%); overlapping comorbidities were counted separately. Male sex was associated with symptomatic cardiac CD (OR=2.92; 95%CI: 1.05-8.12; p=0.040).

conclusionsThis study provided greater understanding of the distribution and clinical profile of CD patients in Southern Brazil, indicating a high prevalence of comorbidities among these patients who are a vulnerable group due to advanced age and substantial risk of morbidity.

Indexed as

Chagas DiseaseTrypanosoma cruziBrazilChronic DiseaseFemaleHumansMaleMiddle AgedPrevalence

Identifiers

PMID33111908
PMCPMC7580281
OpenAlexW3093976452

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.