Evidence map›Paper›PMID 35920555›Full record

ArticleACS sensors2022

SLIDE: Saliva-Based SARS-CoV-2 Self-Testing with RT-LAMP in a Mobile Device.

Zifan Tang, Jiarui Cui, Aneesh Kshirsagar, Tianyi Liu, Michele Yon, Suresh V Kuchipudi, Weihua Guan

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

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  12. Saliva-STAT: Sample-to-answer saliva test for COVID-19.Sensors and actuators. B, Chemical · 2024
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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

7 authors at 1 institution in 1 country.

Zifan TangDepartment of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Jiarui CuiDepartment of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Aneesh KshirsagarDepartment of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.ORCID 0000-0003-2288-5439
Tianyi LiuDepartment of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Michele YonAnimal Diagnostic Laboratory, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Suresh V KuchipudiAnimal Diagnostic Laboratory, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Weihua GuanDepartment of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.ORCID 0000-0002-8435-9672
Pennsylvania State University · US

Funding

Home Fingerprick Blood-Based HIV Self-Test For Quantitative Monitoring Of Viral ReboundR61AI147419 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI GUAN, WEIHUA · 2020 to 2022
$1.0M
NIAID NIH HHS R61 AI147419
6 · The paper itself

Abstract

Regular, accurate, rapid, and inexpensive self-testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is urgently needed to quell pandemic propagation. The existing at-home nucleic acid testing (NAT) test has high sensitivity and specificity, but it requires users to mail the sample to the central lab, which often takes 3-5 days to obtain the results. On the other hand, rapid antigen tests for the SARS-CoV-2 antigen provide a fast sample to answer the test (15 min). However, the sensitivity of antigen tests is 30 to 40% lower than nucleic acid testing, which could miss a significant portion of infected patients. Here, we developed a fully integrated SARS-CoV-2 reverse transcription loop-mediated isothermal amplification (RT-LAMP) device using a self-collected saliva sample. This platform can automatically handle the complexity and can perform the functions, including (1) virus particles' thermal lysis preparation, (2) sample dispensing, (3) target sequence RT-LAMP amplification, (4) real-time detection, and (5) result report and communication. With a turnaround time of less than 45 min, our device achieved the limit of detection (LoD) of 5 copies/μL of the saliva sample, which is comparable with the LoD (6 copies/μL) using FDA-approved quantitative real-time polymerase chain reaction (qRT-PCR) assays with the same heat-lysis saliva sample preparation method. With clinical samples, our platform showed a good agreement with the results from the gold-standard RT-PCR method. These results show that our platform can perform self-administrated SARS-CoV-2 nucleic acid testing by laypersons with noninvasive saliva samples. We believe that our self-testing platform will have an ongoing benefit for COVID-19 control and fighting future pandemics.

Indexed as

COVID-19Nucleic AcidsComputers, HandheldHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSalivaSARS-CoV-2Self-TestingSensitivity and SpecificityNucleic AcidsPOCTRT-LAMPsalivaSARS-CoV-2self-testing

Identifiers

PMID35920555
PMCPMC9364980
OpenAlexW4289549843

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.