Evidence map›Paper›PMID 37727605›Full record

ArticleFrontiers in public health2023

Repurposing a SARS-CoV-2 surveillance program for infectious respiratory diseases in a university setting.

Kylie L King, Rachel Ham, Austin Smothers, Isaac Lee, Tyler Bowie, Erika Teetsel, Congyue Peng, Delphine Dean

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Cellular Metabolic Signatures of Long COVID-19.Infectious disease reports · 2026
    Article
  2. 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

8 authors at 2 institutions in 1 country.

Kylie L KingCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Rachel HamCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Austin SmothersCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Isaac LeeCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Tyler BowieCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Erika TeetselCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Congyue PengCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Delphine DeanCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States.
Sensors (United States) · USClemson University · US

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Peng Chen · 2018 to 2026
$24.7M
Statistical Methods for Gene Regulatory Analysis From Single Cell Genomics DataP20GM139769 · NIGMS · CLEMSON UNIVERSITY · PI MACKAY, TRUDY F. · 2021 to 2025
$10.8M
Development of an Automated Diagnostic Platform for SARS-CoV-2 Monitoring in Vulnerable AreasU01AA029328 · NIAAA · CLEMSON UNIVERSITY · PI VANEGAS-GAMBOA, DIANA CAROLINA · 2021 to 2022
$897k
NIGMS NIH HHS P20 GM121342NIGMS NIH HHS P20 GM139769
6 · The paper itself

Abstract

Standard multiplex RT-qPCR diagnostic tests use nasopharyngeal swabs to simultaneously detect a variety of infections, but commercially available kits can be expensive and have limited throughput. Previously, we clinically validated a saliva-based RT-qPCR diagnostic test for SARS-CoV-2 to provide low-cost testing with high throughput and low turnaround time on a university campus. Here, we developed a respiratory diagnostic panel to detect SARS-CoV-2, influenza A and B within a single saliva sample. When compared to clinical results, our assay demonstrated 93.5% accuracy for influenza A samples (43/46 concordant results) with no effect on SARS-CoV-2 accuracy or limit of detection. In addition, our assay can detect simulated coinfections at varying virus concentrations generated from synthetic RNA controls. We also confirmed the stability of influenza A in saliva at room temperature for up to 5 days. The cost of the assay is lower than standard nasopharyngeal swab respiratory panel tests as saliva collection does not require specialized swabs or trained clinical personnel. By repurposing the lab infrastructure developed for the COVID-19 pandemic, our multiplex assay can be used to provide expanded access to respiratory disease diagnostics, especially for community, school, or university testing applications where saliva testing was effectively utilized during the COVID-19 pandemic.

Indexed as

Communicable DiseasesCOVID-19Influenza, HumanHumansPandemicsSARS-CoV-2UniversitiesfluinfluenzasalivaSARS-CoV-2surveillance testingvirus

Identifiers

PMID37727605
PMCPMC10505707
OpenAlexW4386377296

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.