Evidence map›Paper›PMID 35615087›Full record

ArticleFrontiers in medicine2022

Impact of COVID-19 In-hospital Mortality in Chagas Disease Patients.

Gilberto Marcelo Sperandio da Silva, Mauro Felippe Felix Mediano, Michele Ferreira Murgel, Patricia Mello Andrade, Marcelo Teixeira de Holanda, Andréa Rodrigues da Costa, Henrique Horta Veoso, Fernanda de Souza ogueira Sardinha Mendes, Cláudia Maria Valete Rosalino, Andréa Silvestre de Sousa and 6 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Gilberto Marcelo Sperandio da SilvaEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Mauro Felippe Felix MedianoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Michele Ferreira MurgelEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Patricia Mello AndradeEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Marcelo Teixeira de HolandaEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Andréa Rodrigues da CostaEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Henrique Horta VeosoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Fernanda de Souza ogueira Sardinha MendesEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Cláudia Maria Valete RosalinoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Andréa Silvestre de SousaEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Fernanda de Souza Nogueira Sardinha MendesEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Cláudia Maria Valete RosalinoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Roberta Olmo PinheiroLeprosy Laboratory, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
Valdiléa Gonçalves VelosoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Roberto Magalhães SaraivaEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Alejandro Marcel Hasslocher-MorenoEvandro Chagas National Institute of Infectious Diseases, Fiocruz, Rio de Janeiro, Brazil.
Fundação Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 virus infection caused by the new SARS-CoV-2 was first identified in Rio de Janeiro (RJ), Brazil, in March 2020. Until the end of 2021, 504,399 COVID-19 cases were confirmed in RJ, and the total death toll reached 68,347. The Evandro Chagas National Institute of Infectious Diseases from Oswaldo Cruz Foundation (INI-Fiocruz) is a referral center for treatment and research of several infectious diseases, including COVID-19 and Chagas disease (CD). The present study aimed to evaluate the impact of COVID-19 on in-hospital mortality of patients with CD during the COVID-19 pandemic period. This observational, retrospective, longitudinal study evaluated all patients with CD hospitalized at INI-Fiocruz from May 1, 2020, to November 30, 2021. One hundred ten hospitalizations from 81 patients with CD (58% women; 68 ± 11 years) were evaluated. Death was the study's main outcome, which occurred in 20 cases. The mixed-effects logistic regression was performed with the following variables to test whether patients admitted to the hospital with a COVID-19 diagnosis would be more likely to die than those admitted with other diagnoses: admission diagnosis, sex, age, COVID-19 vaccination status, CD clinical classification, and the number of comorbidities. Results from multiple logistic regression analysis showed a higher risk of in-hospital mortality in patients diagnosed with COVID-19 (OR 6.37; 95% CI 1.78-22.86) compared to other causes of admissions. In conclusion, COVID-19 infection had a significant impact on the mortality risk of INI-Fiocruz CD patients, accounting for one-third of deaths overall. COVID-19 presented the highest percentage of death significantly higher than those admitted due to other causes during the COVID-19 pandemic.

Indexed as

Chagas diseaseCOVID-19in-hospital mortalitySARS-CoV-2Trypanosoma cruzi

Identifiers

PMID35615087
PMCPMC9125174
OpenAlexW4229371824

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.