Evidence map›Paper›PMID 42912114›Full record

ArticleRevista brasileira de enfermagem2026

Analysis of factors associated with death in critically ill patients with COVID-19.

Maximina de Barros Cunha, Dulce Aparecida Barbosa, Cassiane Dezoti da Fonseca, Matheus Santos Moitinho, Julia Yaeko Kawagoe

Abstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maximina de Barros CunhaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-2530-8269
Dulce Aparecida BarbosaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9912-4446
Cassiane Dezoti da FonsecaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-2118-8562
Matheus Santos MoitinhoUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0001-5553-6513
Julia Yaeko KawagoeFaculdade Israelita de Ciências da Saúde Albert Einstein. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-4869-6003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto assess the factors associated with death in critically ill COVID-19 patients.

methodsretrospective cohort of critically ill patients admitted to the Intensive Care Unit and infected with SARS-CoV-2, followed for 30 days, ≥ 18 years old, with a positive nasopharyngeal RT-PCR test for SARS-CoV-2. Descriptive analysis regarding the outcome, chi-square test, and backward stepwise multiple logistic regression model were used to describe predictor variables of sociodemographic and clinical characteristics.

results715 patients were analyzed, of whom 70.8% (n=507) died and 29.1% (n=209) survived. In the multivariate analysis, death outcome dependent variables, such as age range of 61-80 years, > 80 years, invasive mechanical ventilation, dialysis, corticosteroids, vancomycin, platelets after 24 hours, and other antibiotics, were identified as risk factors, and the ROC curve (AUC=0.904) predicted the proposed model.

conclusionsthe multivariate model showed good discriminatory capacity, identifying independent factors associated with death in critically ill COVID-19 patients.

Indexed as

Coronavirus InfectionsCritical IllnessPneumonia, ViralAgedAged, 80 and overBrazilCOVID-19FemaleHumansIntensive Care UnitsMaleMiddle AgedPandemicsRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID42912114
PMCPMC13679581

What OpenQuestion holds

Textmetadata
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.