Evidence map›Paper›PMID 34423323›Full record

Observational studyThe Lancet. Microbe2021

Discovery and validation of a three-gene signature to distinguish COVID-19 and other viral infections in emergency infectious disease presentations: a case-control and observational cohort study.

Ho Kwong Li, Myrsini Kaforou, Jesus Rodriguez-Manzano, Samuel Channon-Wells, Ahmad Moniri, Dominic Habgood-Coote, Rishi K Gupta, Ewurabena A Mills, Dominique Arancon, Jessica Lin and 14 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 35 citations in OpenAlex.

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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

24 authors at 6 institutions in 1 country.

Ho Kwong LiDepartment of Infectious Disease, Imperial College London, London, UK.
Myrsini KaforouDepartment of Infectious Disease, Imperial College London, London, UK.
Jesus Rodriguez-ManzanoDepartment of Infectious Disease, Imperial College London, London, UK.
Samuel Channon-WellsDepartment of Infectious Disease, Imperial College London, London, UK.
Ahmad MoniriDepartment of Electrical & Electronic Engineering, Imperial College London, London, UK.
Dominic Habgood-CooteDepartment of Infectious Disease, Imperial College London, London, UK.
Rishi K GuptaInstitute of Global Health, University College London, London, UK.
Ewurabena A MillsDepartment of Infectious Disease, Imperial College London, London, UK.
Dominique AranconImperial College Healthcare NHS Trust, London, UK.
Jessica LinDepartment of Infectious Disease, Imperial College London, London, UK.
Yueh-Ho ChiuDepartment of Infectious Disease, Imperial College London, London, UK.
Ivana PennisiDepartment of Infectious Disease, Imperial College London, London, UK.
Luca MigliettaDepartment of Infectious Disease, Imperial College London, London, UK.
Ravi MehtaDepartment of Infectious Disease, Imperial College London, London, UK.
Nelofar ObarayDepartment of Infectious Disease, Imperial College London, London, UK.
Jethro A HerbergDepartment of Infectious Disease, Imperial College London, London, UK.
Victoria J WrightDepartment of Infectious Disease, Imperial College London, London, UK.
Pantelis GeorgiouDepartment of Electrical & Electronic Engineering, Imperial College London, London, UK.
Laura J ShallcrossInstitute of Health Informatics, University College London, London, UK.
Alexander J MentzerWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Michael LevinDepartment of Infectious Disease, Imperial College London, London, UK.
Graham S CookeDepartment of Infectious Disease, Imperial College London, London, UK.
Mahdad NoursadeghiDivision of Infection and Immunity, University College London, London, UK.
Shiranee SriskandanDepartment of Infectious Disease, Imperial College London, London, UK.
Imperial College London · GBUniversity College London · GBImperial College Healthcare NHS Trust · GBMedical Research Council · GBNational Institute for Health Research · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/R502376/1MRF_ MRF-160-0008-ELP-KAFO-C0801Wellcome TrustWellcome Trust 203141/Z/16/ZWellcome Trust 206508/Z/17/Z
6 · The paper itself

Abstract

backgroundEmergency admissions for infection often lack initial diagnostic certainty. COVID-19 has highlighted a need for novel diagnostic approaches to indicate likelihood of viral infection in a pandemic setting. We aimed to derive and validate a blood transcriptional signature to detect viral infections, including COVID-19, among adults with suspected infection who presented to the emergency department.

methodsIndividuals (aged ≥18 years) presenting with suspected infection to an emergency department at a major teaching hospital in the UK were prospectively recruited as part of the Bioresource in Adult Infectious Diseases (BioAID) discovery cohort. Whole-blood RNA sequencing was done on samples from participants with subsequently confirmed viral, bacterial, or no infection diagnoses. Differentially expressed host genes that met additional filtering criteria were subjected to feature selection to derive the most parsimonious discriminating signature. We validated the signature via RT-qPCR in a prospective validation cohort of participants who presented to an emergency department with undifferentiated fever, and a second case-control validation cohort of emergency department participants with PCR-positive COVID-19 or bacterial infection. We assessed signature performance by calculating the area under receiver operating characteristic curves (AUROCs), sensitivities, and specificities.

findingsA three-gene transcript signature, comprising

interpretationThis novel three-gene signature discriminates viral infections, including COVID-19, from other emergency infection presentations in adults, outperforming both leukocyte count and CRP, thus potentially providing substantial clinical utility in managing acute presentations with infection.

fundingNational Institute for Health Research, Medical Research Council, Wellcome Trust, and EU-FP7.

Indexed as

Bacterial InfectionsCommunicable DiseasesCOVID-19Virus DiseasesAdolescentAdultBacteriaCase-Control StudiesCohort StudiesC-Reactive ProteinHumansSARS-CoV-2C-Reactive Protein

Identifiers

PMID34423323
PMCPMC8367196
OpenAlexW3194622638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.