Evidence map›Paper›PMID 33823800›Full record

ArticleBMC infectious diseases2021

Diagnostic performance of the combined nasal and throat swab in patients admitted to hospital with suspected COVID-19.

Kuan Ken Lee, Dimitrios Doudesis, Daniella A Ross, Anda Bularga, Claire L MacKintosh, Oliver Koch, Ingolfur Johannessen, Kate Templeton, Sara Jenks, Andrew R Chapman and 5 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

15 authors.

Kuan Ken LeeBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK. ken.lee@ed.ac.uk.ORCID http://orcid.org/0000-0003-3404-4098
Dimitrios DoudesisBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
Daniella A RossRegional Infectious Disease Unit, Western General Hospital, Edinburgh, UK.
Anda BulargaBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
Claire L MacKintoshRegional Infectious Disease Unit, Western General Hospital, Edinburgh, UK.
Oliver KochRegional Infectious Disease Unit, Western General Hospital, Edinburgh, UK.
Ingolfur JohannessenDepartment of Clinical Virology, Royal Infirmary of Edinburgh, Edinburgh, UK.
Kate TempletonDepartment of Clinical Virology, Royal Infirmary of Edinburgh, Edinburgh, UK.
Sara JenksDepartment of Clinical Biochemistry, Royal Infirmary of Edinburgh, Edinburgh, UK.
Andrew R ChapmanBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
Anoop S V ShahBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
Atul AnandBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
Meghan R PerryRegional Infectious Disease Unit, Western General Hospital, Edinburgh, UK.
Nicholas L MillsBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, EH16 4SA, UK.
DataLoch COVID-19 Collaboration

Funding

British Heart Foundation CH/F/21/90010British Heart Foundation FS/16/14/32023British Heart Foundation FS/18/25/33454Medical Research Council MR/N013166/1Medical Research Council MR/V007254/1
6 · The paper itself

Abstract

backgroundAccurate diagnosis in patients with suspected coronavirus disease 2019 (COVID-19) is essential to guide treatment and limit spread of the virus. The combined nasal and throat swab is used widely, but its diagnostic performance is uncertain.

methodsIn a prospective, multi-centre, cohort study conducted in secondary and tertiary care hospitals in Scotland, we evaluated the combined nasal and throat swab with reverse transcriptase-polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in consecutive patients admitted to hospital with suspected COVID-19. Diagnostic performance of the index and serial tests was evaluated for a primary outcome of confirmed or probable COVID-19, and a secondary outcome of confirmed COVID-19 on serial testing. The diagnosis was adjudicated by a panel, who recorded clinical, laboratory and radiological features blinded to the test results.

resultsWe enrolled 1368 consecutive patients (median age 68 [interquartile range, IQR 53-80] years, 47% women) who underwent a total of 3822 tests (median 2 [IQR 1-3] tests per patient). The primary outcome occurred in 36% (496/1368), of whom 65% (323/496) and 35% (173/496) had confirmed and probable COVID-19, respectively. The index test was positive in 255/496 (51%) patients with the primary outcome, giving a sensitivity and specificity of 51.4% (95% confidence interval [CI] 48.8 to 54.1%) and 99.5% (95% CI 99.0 to 99.8%). Sensitivity increased in those undergoing 2, 3 or 4 tests to 60.1% (95% CI 56.7 to 63.4%), 68.3% (95% CI 64.0 to 72.3%) and 77.6% (95% CI 72.7 to 81.9%), respectively. The sensitivity of the index test was 78.9% (95% CI 74.4 to 83.2%) for the secondary outcome of confirmed COVID-19 on serial testing.

conclusionsIn patients admitted to hospital, a single combined nasal and throat swab with RT-PCR for SARS-CoV-2 has excellent specificity, but limited diagnostic sensitivity for COVID-19. Diagnostic performance is significantly improved by repeated testing.

Indexed as

COVID-19 Nucleic Acid TestingAgedAged, 80 and overCOVID-19FemaleHospitalizationHospitalsHumansMaleMiddle AgedNosePharynxProspective StudiesReverse Transcriptase Polymerase Chain ReactionScotlandSensitivity and SpecificityCoronavirus disease 2019Diagnostic evaluationReverse transcriptase-polymerase chain reaction test

Identifiers

PMID33823800
PMCPMC8022129

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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.