Evidence map›Paper›PMID 35450423›Full record

ArticlePNAS nexus2022

Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples.

Lane E Breshears, Brandon T Nguyen, Patarajarin Akarapipad, Katelyn Sosnowski, Kattika Kaarj, Grace Quirk, Jennifer L Uhrlaub, Janko Nikolich-Žugich, Michael Worobey, Jeong-Yeol Yoon

Abstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. 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

10 authors.

Lane E BreshearsDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA.
Brandon T NguyenDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA.
Patarajarin AkarapipadDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA.
Katelyn SosnowskiDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA.ORCID https://orcid.org/0000-0002-8271-8475
Kattika KaarjDepartment of Biosystems Engineering, The University of Arizona,Tucson, AZ 85721, USA.
Grace QuirkDepartment of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ 85721, USA.
Jennifer L UhrlaubDepartment of Immunobiology, The University of Arizona College of Medicine,Tucson, AZ 85724, USA.ORCID https://orcid.org/0000-0002-7745-0179
Janko Nikolich-ŽugichDepartment of Immunobiology, The University of Arizona College of Medicine,Tucson, AZ 85724, USA.
Michael WorobeyDepartment of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ 85721, USA.

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM132008 · NIGMS · UNIVERSITY OF ARIZONA · PI Ryan Gutenkunst, JOANNA MASEL · 2019 to 2026
$2.3M
NIGMS NIH HHS T32 GM132008
6 · The paper itself

Abstract

Saliva specimens have drawn interest for diagnosing respiratory viral infections due to their ease of collection and decreased risk to healthcare providers. However, rapid and sensitive immunoassays have not yet been satisfactorily demonstrated for such specimens due to their viscosity and low viral loads. Using paper microfluidic chips and a smartphone-based fluorescence microscope, we developed a highly sensitive, low-cost immunofluorescence particulometric SARS-CoV-2 assay from clinical saline gargle samples. We demonstrated the limit of detection of 10 ag/μL. With easy-to-collect saline gargle samples, our clinical sensitivity, specificity, and accuracy were 100%, 86%, and 93%, respectively, for

Indexed as

biosensorclinical samplesCOVID-19immunoassaymicrofluidicspoint-of-caresmartphonesmartphone-based fluorescence microscope

Identifiers

PMID35450423
PMCPMC9013775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.