Evidence map›Paper›PMID 39200167›Full record

ArticleBiomedicines2024

The Predictive Performance of Risk Scores for the Outcome of COVID-19 in a 2-Year Swiss Cohort.

Maria Boesing, Giorgia Lüthi-Corridori, David Büttiker, Mireille Hunziker, Fabienne Jaun, Ugne Vaskyte, Michael Brändle, Jörg D Leuppi

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. 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.

Maria BoesingUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0001-8605-1893
Giorgia Lüthi-CorridoriUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.
David BüttikerUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.
Mireille HunzikerUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.
Fabienne JaunUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0002-1229-2181
Ugne VaskyteUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.
Michael BrändleDepartment of Internal Medicine, Cantonal Hospital Sankt Gallen, 9000 Sankt Gallen, Switzerland.
Jörg D LeuppiUniversity Institute of Internal Medicine, Cantonal Hospital Baselland, 4410 Liestal, Switzerland.ORCID 0000-0002-5554-0675

Funding

Swiss Academy of Medical Sciences YTCR Beginner Grant 18/20
6 · The paper itself

Abstract

Various scoring systems are available for COVID-19 risk stratification. This study aimed to validate their performance in predicting severe COVID-19 course in a large, heterogeneous Swiss cohort. Scores like the National Early Warning Score (NEWS), CURB-65, 4C mortality score (4C), Spanish Society of Infectious Diseases and Clinical Microbiology score (COVID-SEIMC), and COVID Intubation Risk Score (COVID-IRS) were assessed in patients hospitalized for COVID-19 in 2020 and 2021. Predictive accuracy for severe course (defined as all-cause in-hospital death or invasive mechanical ventilation (IMV)) was evaluated using receiver operating characteristic curves and the area under the curve (AUC). The new 'COVID-COMBI' score, combining parameters from the top two scores, was also validated. This study included 1,051 patients (mean age 65 years, 60% male), with 162 (15%) experiencing severe course. Among the established scores, 4C had the best accuracy for predicting severe course (AUC 0.76), followed by COVID-IRS (AUC 0.72). COVID-COMBI showed significantly higher accuracy than all established scores (AUC 0.79,

Indexed as

COVID-19COVID-COMBIin-hospital deathoutcomerisk scoreSARS-CoV-2severe courseventilation

Identifiers

PMID39200167
PMCPMC11351214

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.