Evidence map›Paper›PMID 34235208›Full record

ArticleERJ open research2021

Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography-mass spectrometry.

Wadah Ibrahim, Rebecca L Cordell, Michael J Wilde, Matthew Richardson, Liesl Carr, Ananga Sundari Devi Dasi, Beverley Hargadon, Robert C Free, Paul S Monks, Christopher E Brightling and 2 more

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
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  13. A Targeted LC-MRMMolecular & cellular proteomics : MCP · 2024
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  18. Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024
    Review
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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

12 authors at 1 institution in 1 country.

Wadah IbrahimDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Rebecca L CordellSchool of Chemistry, University of Leicester, Leicester, UK.
Michael J WildeSchool of Chemistry, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0003-0726-890X
Matthew RichardsonDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Liesl CarrDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Ananga Sundari Devi DasiDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Beverley HargadonDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Robert C FreeDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Paul S MonksSchool of Chemistry, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0001-9984-4390
Christopher E BrightlingDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Neil J GreeningDept of Respiratory Sciences, University of Leicester, Leicester, UK.
Salman SiddiquiDept of Respiratory Sciences, University of Leicester, Leicester, UK.
University of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ongoing coronavirus disease 2019 (COVID-19) pandemic has claimed over two and a half million lives worldwide so far. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is perceived to be seasonally recurrent, and a rapid noninvasive biomarker to accurately diagnose patients early on in their disease course will be necessary to meet the operational demands for COVID-19 control in the coming years.

objectiveThe aim of this study was to evaluate the role of exhaled breath volatile biomarkers in identifying patients with suspected or confirmed COVID-19 infection, based on their underlying PCR status and clinical probability.

methodsA prospective, real-world, observational study was carried out, recruiting adult patients with suspected or confirmed COVID-19 infection. Breath samples were collected using a standard breath collection bag, modified with appropriate filters to comply with local infection control recommendations, and samples were analysed using gas chromatography-mass spectrometry (TD-GC-MS).

results81 patients were recruited between April 29 and July 10, 2020, of whom 52 out of 81 (64%) tested positive for COVID-19 by reverse transcription-polymerase chain reaction (RT-PCR). A regression analysis identified a set of seven exhaled breath features (benzaldehyde, 1-propanol, 3,6-methylundecane, camphene, beta-cubebene, iodobenzene and an unidentified compound) that separated PCR-positive patients with an area under the curve (AUC): 0.836, sensitivity: 68%, specificity: 85%.

conclusionsGC-MS-detected exhaled breath biomarkers were able to identify PCR-positive COVID-19 patients. External replication of these compounds is warranted to validate these results.

Identifiers

PMID34235208
PMCPMC8255539
OpenAlexW3173250106

What OpenQuestion holds

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LicenceCC BY-NC
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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.