Evidence map›Paper›PMID 40802436›Full record

ArticleRevista brasileira de enfermagem2025

COVID-19: association of the National Early Warning Score with triage categories, severity and outcomes.

Luiz Humberto Vieri Piacezzi, Jaine Novaes da Silva, Rui Carlos Negrão Baptista, Karina Aparecida Lopes da Costa, Maria Carolina Barbosa Teixeira Lopes, Ruth Ester Assayag Batista, Cássia Regina Vancini Campanharo

Abstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Luiz Humberto Vieri PiacezziUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0003-4595-2753
Jaine Novaes da SilvaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0002-3966-7094
Rui Carlos Negrão BaptistaEscola Superior de Enfermagem de Coimbra. Coimbra, Portugal.ORCID 0000-0002-4125-1186
Karina Aparecida Lopes da CostaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0002-7319-4032
Maria Carolina Barbosa Teixeira LopesUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0002-6944-3008
Ruth Ester Assayag BatistaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0002-6416-1079
Cássia Regina Vancini CampanharoUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID 0000-0002-7688-2674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto identify the association of the National Early Warning Score (NEWS2) and NEWS Age with risk categories, severity markers and outcomes in the emergency department.

methodsretrospective cohort study, conducted in a high-complexity hospital, with 356 hospitalized patients (mean age 59.4; ±14.4 years) with COVID-19, from April to August 2020. To verify the association between risk categories and alert scores, the chi-square, Kruskal-Wallis and likelihood ratio tests (p<0.05) were used.

resultspatients stratified in the red category had higher NEWS2 and NEWS Age (<0.0001) than the others. Clinical risk categorized by scores was associated with clinical deterioration (p<0.0001), orotracheal intubation (p<0.0001) and death (NEWS - p=0.0098/NEWS Age - p<0.0001).

conclusionsscores ≥ 7 were associated with red/orange risk stratification, clinical deterioration and occurrence of death.

Indexed as

COVID-19Early Warning ScoreTriageAdultAgedAged, 80 and overBrazilCohort StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentSARS-CoV-2

Identifiers

PMID40802436
PMCPMC12334200

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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.