Evidence map›Paper›PMID 33950121›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2021

Risk factors for critical illness and death among adult Brazilians with COVID-19.

Isabela Silva, Natália Cristina de Faria, Álida Rosária Silva Ferreira, Lucilene Rezende Anastácio, Lívia Garcia Ferreira

Open access · diamondAbstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2021. 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
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. COVID-19's intra-urban inequalities and social vulnerability in a medium-sized city.Revista da Sociedade Brasileira de Medicina Tropical · 2022
    Article
  7. Article
  8. COVID-19 associated Mucormycosis (CAM): Should Brazil be on alert?Revista da Sociedade Brasileira de Medicina Tropical · 2021
    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

5 authors at 2 institutions in 1 country.

Isabela SilvaUniversidade Federal de Lavras, Departamento de Nutrição, Programa de Pós-Graduação em Nutrição e Saúde, Lavras, MG, Brasil.ORCID http://orcid.org/0000-0001-8379-056X
Natália Cristina de FariaUniversidade Federal de Minas Gerais, Faculdade de Farmácia, Departamento de Alimentos, Programa de Pós-Graduação em Ciência de Alimentos, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-6716-9597
Álida Rosária Silva FerreiraUniversidade Federal de Minas Gerais, Ciências Econômicas, Programa de Pós-Graduação em Demografia, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-9972-1796
Lucilene Rezende AnastácioUniversidade Federal de Minas Gerais, Faculdade de Farmácia, Departamento de Alimentos, Programa de Pós-Graduação em Ciência de Alimentos, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-2269-0722
Lívia Garcia FerreiraUniversidade Federal de Lavras, Departamento de Nutrição, Programa de Pós-Graduação em Nutrição e Saúde, Lavras, MG, Brasil.ORCID http://orcid.org/0000-0002-8089-351X
Universidade Federal de Minas Gerais · BRUniversidade Federal de Lavras · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSevere acute respiratory syndrome coronavirus 2 has infected more than 9,834,513 Brazilians up to February 2021. Knowledge of risk factors of coronavirus disease among Brazilians remains scarce, especially in the adult population. This study verified the risk factors for intensive care unit admission and mortality for coronavirus disease among 20-59-year-old Brazilians.

methodsA Brazilian database on respiratory illness was analyzed on October 9, 2020, to gather data on age, sex, ethnicity, education, housing area, and comorbidities (cardiovascular disease, diabetes, and obesity). Multivariate logistic regression analysis was performed to identify the risk factors for coronavirus disease.

resultsOverall, 1,048,575 persons were tested for coronavirus disease; among them, 43,662 were admitted to the intensive care unit, and 34,704 patients died. Male sex (odds ratio=1.235 and 1.193), obesity (odds ratio=1.941 and 1.889), living in rural areas (odds ratio=0.855 and 1.337), and peri-urban areas (odds ratio=1.253 and 1.577) were predictors of intensive care unit admission and mortality, respectively. Cardiovascular disease (odds ratio=1.552) was a risk factor for intensive care unit admission. Indigenous people had reduced chances (odds ratio=0.724) for intensive care unit admission, and black, mixed, East Asian, and indigenous ethnicity (odds ratio=1.756, 1.564, 1.679, and 1.613, respectively) were risk factors for mortality.

conclusionsRisk factors for intensive care unit admission and mortality among adult Brazilians were higher in men, obese individuals, and non-urban areas. Obesity was the strongest risk factor for intensive care unit admission and mortality.

Indexed as

COVID-19Critical IllnessAdultBrazilHospitalizationHumansIntensive Care UnitsMaleMiddle AgedRisk FactorsSARS-CoV-2Young Adult

Identifiers

PMID33950121
PMCPMC8083890
OpenAlexW3157854848

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.