Evidence map›Paper›PMID 35908828›Full record

ArticleAmerican journal of infection control2022

Detection of SARS-CoV-2 in exhaled air using non-invasive embedded strips in masks.

Emily N Gallichotte, William Windsor, Stuart Watts, Nicole Sexton, Chuck Henry, Thomas Jaenisch, Molly M Lamb, Geoffrey Winstanley, Brian Adams, May Chu and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
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

11 authors at 2 institutions in 1 country.

Emily N GallichotteDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO.
William WindsorCenter for Global Health, Colorado School of Public Health, Aurora, CO.
Stuart WattsDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO.
Nicole SextonDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO.
Chuck HenryDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO.
Thomas JaenischCenter for Global Health, Colorado School of Public Health, Aurora, CO.
Molly M LambCenter for Global Health, Colorado School of Public Health, Aurora, CO.
Geoffrey WinstanleyCenter for Global Health, Colorado School of Public Health, Aurora, CO.
Brian AdamsCenter for Global Health, Colorado School of Public Health, Aurora, CO.
May ChuCenter for Global Health, Colorado School of Public Health, Aurora, CO.
Gregory D EbelDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO. Electronic address: gregory.ebel@colostate.edu.
Colorado School of Public Health · USColorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 emerged in 2019 and resulted in a pandemic causing millions of infections worldwide. Gold-standard for SARS-CoV-2 detection uses quantitative RT-qPCR on respiratory secretions to detect viral RNA (vRNA). Acquiring these samples is invasive, can be painful for those with xerostomia and other health conditions, and sample quality can vary greatly. Frequently only symptomatic individuals are tested even though asymptomatic individuals can have comparable viral loads and efficiently transmit virus.

methodsWe utilized a non-invasive approach to detect SARS-CoV-2 in individuals, using polyvinyl alcohol (PVA) strips embedded in KN95 masks. PVA strips were tested for SARS-CoV-2 vRNA via qRT-PCR and infectious virus.

resultsWe show efficient recovery of vRNA and infectious virus from virus-spiked PVA with detection limits comparable to nasal swab samples. In infected individuals, we detect both human and SARS-CoV-2 RNA on PVA strips, however, these levels are not correlated with length of time mask was worn, number of times coughed or sneezed, or level of virus in nasal swab samples. We successfully cultured and deep-sequenced PVA-associated virus.

conclusionsThese results demonstrate the feasibility of using PVA-embedded masks as a non-invasive platform for detecting SARS-CoV-2 in exhaled air in COVID-positive individuals regardless of symptom status.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPandemicsRNA, ViralRNA, ViralCOVID-19Face masksPersonal protective equipmentqRT-PCR analysisSARS-CoV-2

Identifiers

PMID35908828
PMCPMC9329094
OpenAlexW4288074177

What OpenQuestion holds

Textmetadata
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.