Evidence map›Paper›PMID 33970431›Full record

ArticleInfection2021

National Early Warning Score 2 (NEWS2) better predicts critical Coronavirus Disease 2019 (COVID-19) illness than COVID-GRAM, a multi-centre study.

Giuseppe Vittorio De Socio, Anna Gidari, Francesco Sicari, Michele Palumbo, Daniela Francisci

Abstract readMulticenter Study
In one paragraph

Article in Infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Observational
  6. Article
  7. Article
  8. Performance of Risk Scores in SARS-CoV-2 Infection: A Retrospective Study.International journal of environmental research and public health · 2025
    Observational
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  10. Article
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  17. Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Article
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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.

Giuseppe Vittorio De SocioDepartment of Medicine and Surgery, Clinic of Infectious Diseases, "Santa Maria della Misericordia" Hospital, Università degli Studi di Perugia, Piazzale Lucio Severi 1, 06132, Perugia, Italy.ORCID http://orcid.org/0000-0001-8774-4843
Anna GidariDepartment of Medicine and Surgery, Clinic of Infectious Diseases, "Santa Maria della Misericordia" Hospital, Università degli Studi di Perugia, Piazzale Lucio Severi 1, 06132, Perugia, Italy. anna.gidari@studenti.unipg.it.ORCID http://orcid.org/0000-0002-6556-6553
Francesco SicariDepartment of Medicine, Clinic of Infectious Diseases, "Santa Maria" Hospital, 05100, Terni, Italy.
Michele PalumboDepartment of Medicine, Clinic of Infectious Diseases, "Santa Maria" Hospital, 05100, Terni, Italy.
Daniela FrancisciDepartment of Medicine and Surgery, Clinic of Infectious Diseases, "Santa Maria della Misericordia" Hospital, Università degli Studi di Perugia, Piazzale Lucio Severi 1, 06132, Perugia, Italy.ORCID http://orcid.org/0000-0001-8752-8278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinical scores to rapidly assess the severity illness of Coronavirus Disease 2019 (COVID-19) could be considered of help for clinicians. Recently, a specific score (named COVID-GRAM) for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection, based on a nationwide Chinese cohort, has been proposed. We routinely applied the National Early Warning Score 2 (NEWS2) to predict critical COVID-19. Aim of this study is to compare NEWS2 and COVID-GRAM score.

methodsWe retrospectively analysed data of 121 COVID-19 patients admitted in two Clinics of Infectious Diseases in the Umbria region, Italy. The primary outcome was critical COVID-19 illness defined as admission to the intensive care unit, invasive ventilation, or death. Accuracy of the scores was evaluated with the area under the receiver-operating characteristic curve (AUROC). Differences between scores were confirmed used Hanley-McNeil test.

resultsThe NEWS2 AUROC curve measured 0.87 (standard error, SE 0.03; 95% CI 0.80-0.93; p < 0.0001). The COVID-GRAM score AUROC curve measured 0.77 (SE 0.04; 95% CI 0.68-0.85; p < 0.0001). Hanley-McNeil test showed that NEWS2 better predicted severe COVID-19 (Z = 2.03).

conclusionsThe NEWS2 showed superior accuracy to COVID-GRAM score for prediction of critical COVID-19 illness.

Indexed as

COVID-19Early Warning ScoreCritical IllnessHumansRetrospective StudiesSARS-CoV-2COVID-19COVID-GRAMNational Early Warning Score 2NEWS2SARS-CoV-2

Identifiers

PMID33970431
PMCPMC8108728

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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.