Evidence map›Paper›PMID 34545103›Full record

ArticleScientific reports2021

External validation of the 4C mortality score among COVID-19 patients admitted to hospital in Ontario, Canada: a retrospective study.

Aaron Jones, Tyler Pitre, Mats Junek, Jessica Kapralik, Rina Patel, Edward Feng, Laura Dawson, Jennifer L Y Tsang, MyLinh Duong, Terence Ho and 4 more

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  4. Performance of Risk Scores in SARS-CoV-2 Infection: A Retrospective Study.International journal of environmental research and public health · 2025
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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

14 authors.

Aaron JonesDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada. jonesa13@mcmaster.ca.
Tyler PitreDepartment of Medicine, McMaster University, Hamilton, Canada.
Mats JunekDepartment of Medicine, McMaster University, Hamilton, Canada.
Jessica KapralikDepartment of Medicine, McMaster University, Hamilton, Canada.
Rina PatelWaterloo Regional Campus, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada.
Edward FengWaterloo Regional Campus, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada.
Laura DawsonWaterloo Regional Campus, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada.
Jennifer L Y TsangDepartment of Medicine, McMaster University, Hamilton, Canada.
MyLinh DuongDepartment of Medicine, McMaster University, Hamilton, Canada.
Terence HoDepartment of Medicine, McMaster University, Hamilton, Canada.
Marla K BeauchampDepartment of Medicine, McMaster University, Hamilton, Canada.
Andrew P CostaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
Rebecca KruisselbrinkWaterloo Regional Campus, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada.
COREG Investigators

Funding

CIHR 172754Hamilton Academic Health Sciences Organization HAH-21-04
6 · The paper itself

Abstract

Risk prediction scores are important tools to support clinical decision-making for patients with coronavirus disease (COVID-19). The objective of this paper was to validate the 4C mortality score, originally developed in the United Kingdom, for a Canadian population, and to examine its performance over time. We conducted an external validation study within a registry of COVID-19 positive hospital admissions in the Kitchener-Waterloo and Hamilton regions of southern Ontario between March 4, 2020 and June 13, 2021. We examined the validity of the 4C score to prognosticate in-hospital mortality using the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals calculated via bootstrapping. The study included 959 individuals, of whom 224 (23.4%) died in-hospital. Median age was 72 years and 524 individuals (55%) were male. The AUC of the 4C score was 0.77, 95% confidence interval 0.79-0.87. Overall mortality rates across the pre-defined risk groups were 0% (Low), 8.0% (Intermediate), 27.2% (High), and 54.2% (Very High). Wave 1, 2 and 3 values of the AUC were 0.81 (0.76, 0.86), 0.74 (0.69, 0.80), and 0.76 (0.69, 0.83) respectively. The 4C score is a valid tool to prognosticate mortality from COVID-19 in Canadian hospitals and can be used to prioritize care and resources for patients at greatest risk of death.

Indexed as

HospitalizationAgedAged, 80 and overArea Under CurveCOVID-19FemaleHumansMaleMiddle AgedOntarioReproducibility of ResultsRetrospective Studies

Identifiers

PMID34545103
PMCPMC8452633

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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.