Evidence map›Paper›PMID 39040155›Full record

ArticleTheScientificWorldJournal2024

Sociodemographic Profile and Risk Factors for the Evolution of Patients with COVID-19 in ICUs in Brazil: A Cross-Sectional Study.

Joelma Greicy Fernandes Lira, Ricardo Alves de Olinda, Gustavo Correia Basto da Silva, Luzibênia Leal de Oliveira, Raimunda Leite de Alencar Neta, Nívea Vilar Cardoso, Fernando Adami, Laércio da Silva Paiva

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. COVID-19 hospitalization in vaccinated and non-vaccinated patients: Clinical profile and outcomes.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

8 authors.

Joelma Greicy Fernandes LiraABC Medical School, Lauro Gomes Avenue, 2000-Vila Sacadura Cabral, Santo André, SP 09060-870, Brazil.ORCID https://orcid.org/0000-0002-9818-9846
Ricardo Alves de OlindaState University of Paraíba, Baraúnas Street, 351-Universitário, Campina Grande, PB 58429-500, Brazil.ORCID https://orcid.org/0000-0002-0509-8428
Gustavo Correia Basto da SilvaState University of Paraíba, Baraúnas Street, 351-Universitário, Campina Grande, PB 58429-500, Brazil.ORCID https://orcid.org/0000-0002-6081-2540
Luzibênia Leal de OliveiraFederal University of Campina Grande, Juvêncio Arruda Avenue, 795-Bodocongó, Campina Grande, PB 58429-600, Brazil.ORCID https://orcid.org/0000-0002-8549-370X
Raimunda Leite de Alencar NetaState University of Paraíba, Baraúnas Street, 351-Universitário, Campina Grande, PB 58429-500, Brazil.ORCID https://orcid.org/0000-0002-4830-9854
Nívea Vilar CardosoFederal University of Campina Grande, Juvêncio Arruda Avenue, 795-Bodocongó, Campina Grande, PB 58429-600, Brazil.ORCID https://orcid.org/0000-0001-6025-1678
Fernando AdamiABC Medical School, Lauro Gomes Avenue, 2000-Vila Sacadura Cabral, Santo André, SP 09060-870, Brazil.ORCID https://orcid.org/0000-0003-1918-3364
Laércio da Silva PaivaABC Medical School, Lauro Gomes Avenue, 2000-Vila Sacadura Cabral, Santo André, SP 09060-870, Brazil.ORCID https://orcid.org/0000-0003-3646-2621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is a cross-sectional study, with secondary data from Brazilian hospitals in the state of Paraíba, between January 2021 and January 2022. The evolution of clinical cases configured the dependent variable (cure or death), while the predictive variables were sociodemographic data, risk factors, use of ventilatory support, and vaccination against COVID-19. With the help of R software, the following tests were used: chi-square, Pearson's chi-square, and Fisher's exact adherence. Simple logistic regression models were constructed, and odds ratios (95% CI) were estimated using the LR test and Wald test. 7373 cases were reported, with a mean age of 58.1. Of the reported cases, 63.8% died. The most frequent sociodemographic profile included male people, of mixed race, with less than eight years of schooling. Chronic cardiovascular disease (OR 1.28; 95% CI: 1.13-1.45), diabetes (OR 1.41; 95% CI: 1.24-1.61), lung disease (OR 1.52; 95% CI: 1.11-2.09), and the use of invasive ventilatory support (OR 14.1; 95% CI: 10.56-18.59) were all associated with increased mortality. Nonvaccination was associated with a decreased risk of death (OR 0.74; 95% CI: 0.65-0.84). Male patients, nonwhite, and those with low education were more likely to have a worse clinical outcome. The risk factors studied were related to deaths, and those who did not require ventilatory support were related to cure.

Indexed as

COVID-19Intensive Care UnitsAdultAgedBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedRespiration, ArtificialRisk FactorsSARS-CoV-2Sociodemographic Factors

Identifiers

PMID39040155
PMCPMC11262879

What OpenQuestion holds

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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.