Evidence map›Paper›PMID 32479771›Full record

Observational studyThe Journal of infection2020

A clinical risk score to identify patients with COVID-19 at high risk of critical care admission or death: An observational cohort study.

James B Galloway, Sam Norton, Richard D Barker, Andrew Brookes, Ivana Carey, Benjamin D Clarke, Raeesa Jina, Carole Reid, Mark D Russell, Ruth Sneep and 6 more

Abstract readObservational Study
In one paragraph

Observational study in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 13 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

140 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  19. COVID-19 Readmission Is Highest Among Refugees in Denmark.International journal of environmental research and public health · 2025
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80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

James B GallowayCentre for Rheumatic Disease, King's College London, London, United Kingdom. Electronic address: james.galloway@kcl.ac.uk.
Sam NortonCentre for Rheumatic Disease, King's College London, London, United Kingdom.
Richard D BarkerDepartment of Respiratory Medicine, King's College Hospital, London, United Kingdom.
Andrew BrookesDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Ivana CareyInstitute of Liver Studies, King's College Hospital, London, United Kingdom.
Benjamin D ClarkeCentre for Rheumatic Disease, King's College London, London, United Kingdom.
Raeesa JinaDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Carole ReidDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Mark D RussellCentre for Rheumatic Disease, King's College London, London, United Kingdom.
Ruth SneepDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Leah SugarmanDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Sarah WilliamsDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.
Mark YatesCentre for Rheumatic Disease, King's College London, London, United Kingdom.
James TeoDepartment of Neurosciences, King's College Hospital, London, United Kingdom.
Ajay M ShahSchool of Cardiovascular Medicine & Sciences, King's College London British Heart Foundation Centre, London, United Kingdom.
Fleur CantleDepartment of Emergency Medicine, King's College Hospital, London, United Kingdom.

Funding

British Heart Foundation CH/1999001/11735
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic continues to escalate. There is urgent need to stratify patients. Understanding risk of deterioration will assist in admission and discharge decisions, and help selection for clinical studies to indicate where risk of therapy-related complications is justified.

methodsAn observational cohort of patients acutely admitted to two London hospitals with COVID-19 and positive SARS-CoV-2 swab results was assessed. Demographic details, clinical data, comorbidities, blood parameters and chest radiograph severity scores were collected from electronic health records. Endpoints assessed were critical care admission and death. A risk score was developed to predict outcomes.

findingsAnalyses included 1,157 patients. Older age, male sex, comorbidities, respiratory rate, oxygenation, radiographic severity, higher neutrophils, higher CRP and lower albumin at presentation predicted critical care admission and mortality. Non-white ethnicity predicted critical care admission but not death. Social deprivation was not predictive of outcome. A risk score was developed incorporating twelve characteristics: age>40, male, non-white ethnicity, oxygen saturations<93%, radiological severity score>3, neutrophil count>8.0 x10

interpretationOur study identified predictors of critical care admission and death in people admitted to hospital with COVID-19. These predictors were incorporated into a risk score that will inform clinical care and stratify patients for clinical trials.

Indexed as

AdultAgedAged, 80 and overBetacoronavirusCohort StudiesComorbidityCoronavirus InfectionsCOVID-19Critical CareElectronic Health RecordsFemaleHospitalizationHumansLondonMaleMiddle Aged

Identifiers

PMID32479771
PMCPMC7258846

What OpenQuestion holds

Textmetadata
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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.