Evidence map›Paper›PMID 35225290›Full record

ArticleJournal of visualized experiments : JoVE2022

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots.

Rachel E Ham, Austin R Smothers, Kylie L King, Justin M Napolitano, Theodore J Swann, Lesslie G Pekarek, Mark A Blenner, Delphine Dean

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Cellular Metabolic Signatures of Long COVID-19.Infectious disease reports · 2026
    Article
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. SARS-CoV-2 variants of concern Alpha and Delta show increased viral load in saliva.medRxiv : the preprint server for health sciences · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. 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 3 institutions in 1 country.

Rachel E Ham *Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University.
Austin R Smothers *Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University; Department of Bioengineering, Clemson University.
Kylie L KingCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University.
Justin M NapolitanoCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University.
Theodore J SwannSwann Medicine.
Lesslie G PekarekStudent Health Services, Clemson University.
Mark A Blenner *Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University; Department of Chemical & Biomolecular Engineering, Clemson University; Department of Chemical & Biomolecular Engineering, University of Delaware.
Delphine Dean *Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University; Department of Bioengineering, Clemson University; finou@clemson.edu.
Clemson University · USSensors (United States) · USUniversity of Delaware · US

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Jeryl Jones · 2018 to 2026
$24.7M
NIGMS NIH HHS P20 GM121342
6 · The paper itself

Abstract

The emergence of the recent SARS-CoV-2 global health crisis introduced key challenges for epidemiological research and clinical testing. Characterized by a high rate of transmission and low mortality, the COVID-19 pandemic necessitated accurate and efficient diagnostic testing, particularly in closed populations such as residential universities. Initial availability of nucleic acid testing, like nasopharyngeal swabs, was limited due to supply chain pressure which also delayed reporting of test results. Saliva-based reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) testing has shown to be comparable in sensitivity and specificity to other testing methods, and saliva collection is less physically invasive to participants. Consequently, we developed a multiplex RT-qPCR diagnostic assay for population surveillance of Clemson University and the surrounding community. The assay utilized open-source liquid handling robots and thermocyclers instead of complex clinical automation systems to optimize workflow and system flexibility. Automation of saliva-based RT-qPCR enables rapid and accurate detection of a wide range of viral RNA concentrations for both large- and small-scale testing demands. The average turnaround for the automated system was < 9 h for 95% of samples and < 24 h for 99% of samples. The cost for a single test was $2.80 when all reagents were purchased in bulk quantities.

Indexed as

COVID-19RoboticsCOVID-19 Nucleic Acid TestingHumansNasopharynxPandemicsReverse Transcriptase Polymerase Chain ReactionRNA, ViralSalivaSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingRNA, Viral

Identifiers

PMID35225290
PMCPMC9199378
OpenAlexW4211053286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.