Evidence map›Paper›PMID 36287073›Full record

ArticleMicrobiology spectrum2022

Morning SARS-CoV-2 Testing Yields Better Detection of Infection Due to Higher Viral Loads in Saliva and Nasal Swabs upon Waking.

Alexander Viloria Winnett, Michael K Porter, Anna E Romano, Emily S Savela, Reid Akana, Natasha Shelby, Jessica A Reyes, Noah W Schlenker, Matthew M Cooper, Alyssa M Carter and 6 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

16 authors.

Alexander Viloria Winnett *California Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-7338-5605
Michael K Porter *California Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-0777-7563
Anna E RomanoCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-7148-0668
Emily S SavelaCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0001-9614-4276
Reid AkanaCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0003-4422-587X
Natasha ShelbyCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0001-9097-3663
Jessica A ReyesCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-5507-7633
Noah W SchlenkerCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-8581-4403
Matthew M CooperCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-5868-5159
Alyssa M CarterCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-2776-9421
Jenny JiCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-7901-5605
Jacob T BarlowCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-1842-4835
Colten TognazziniCity of Pasadena Public Health Department, Pasadena, California, USA.
Matthew FeasterCity of Pasadena Public Health Department, Pasadena, California, USA.ORCID 0000-0001-9966-2845
Ying-Ying GohCity of Pasadena Public Health Department, Pasadena, California, USA.ORCID 0000-0001-5136-7214
Rustem F IsmagilovCalifornia Institute of Technologygrid.20861.3d, Pasadena, California, USA.ORCID 0000-0002-3680-4399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing specimen collection methods to achieve the most reliable SARS-CoV-2 detection for a given diagnostic sensitivity would improve testing and minimize COVID-19 outbreaks. From September 2020 to April 2021, we performed a household-transmission study in which participants self-collected specimens every morning and evening throughout acute SARS-CoV-2 infection. Seventy mildly symptomatic participants collected saliva, and of those, 29 also collected nasal swab specimens. Viral load was quantified in 1,194 saliva and 661 nasal swab specimens using a high-analytical-sensitivity reverse transcription-quantitative PCR (RT-qPCR) assay. Viral loads in both saliva and nasal swab specimens were significantly higher in morning-collected specimens than in evening-collected specimens after symptom onset. This aspect of the biology of SARS-CoV-2 infection has implications for diagnostic testing. We infer that morning collection would have resulted in significantly improved detection and that this advantage would be most pronounced for tests with low to moderate analytical sensitivity. Collecting specimens for COVID-19 testing in the morning offers a simple and low-cost improvement to clinical diagnostic sensitivity of low- to moderate-analytical-sensitivity tests.

Indexed as

COVID-19SARS-CoV-2Clinical Laboratory TechniquesCOVID-19 TestingHumansSalivaSpecimen HandlingViral Loadambulatoryanalytical sensitivitycircadian rhythmCOVID-19diagnosticoutpatientpandemicsample collectionscreeningspecimen collectionviral load

Identifiers

PMID36287073
PMCPMC9769854

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.