Evidence map›Paper›PMID 33996635›Full record

ReviewFrontiers in cellular and infection microbiology2021

CRISPR-Based COVID-19 Testing: Toward Next-Generation Point-of-Care Diagnostics.

Uyanga Ganbaatar, Changchun Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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  20. COVID-19 diagnostics: Molecular biology to nanomaterials.Clinica chimica acta; international journal of clinical chemistry · 2023
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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

2 authors at 1 institution in 1 country.

Uyanga GanbaatarDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, United States.
Changchun LiuDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, United States.
UConn Health · US

Funding

Asymmetric CRISPR Approach for Nucleic Acid QuantificationR01EB023607 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Changchun Liu · 2017 to 2026
$2.4M
Self-Powered Sample Concentrating and CRISPR-based Biosensing for Moile HIV-1 RNA DetectionR61AI154642 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LIU, CHANGCHUN · 2020 to 2022
$1.4M
Point of Care Diagnostics of HPV-Associated Cervical Cancer in HIV Epidemic Areas in ChinaR01CA214072 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LIU, CHANGCHUN · 2017 to 2021
$771k
NCI NIH HHS R01 CA214072NIAID NIH HHS R61 AI154642NIBIB NIH HHS R01 EB023607
6 · The paper itself

Abstract

As the COVID-19 pandemic continues, people are becoming infected at an alarming rate, individuals are unknowingly spreading disease, and more lives are lost every day. There is an immediate need for a simple, rapid, early and sensitive point-of-care testing for COVID-19 disease. However, current testing approaches do not meet such need. Recently, clustered regularly interspaced short palindromic repeats (CRISPR)-based detection methods have received substantial attention for nucleic acid-based molecular testing due to their simplicity, high sensitivity and specificity. This review explores the various CRISPR-based COVID-19 detection methods and related diagnostic devices. As with any emerging technology, CRISPR/Cas-based nucleic acid testing methods have several challenges that must be overcome for practical applications in clinics and hospitals. More importantly, these detection methods are not limited to COVID-19 but can be applied to detect any type of pathogen, virus, and fungi that may threaten humans, agriculture, and food industries in resource-limited settings. CRISPR/Cas-based detection methods have the potential to become simpler, more reliable, more affordable, and faster in the near future, which is highly important for achieving point-of-care diagnostics.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCOVID-19COVID-19 TestingCRISPR-Cas SystemsHumansPandemicsPoint-of-Care TestingSARS-CoV-2coronavirusCOVID-19CRISPR-based nucleic acid detectionpoint-of-care testingSARS-CoV-2

Identifiers

PMID33996635
PMCPMC8120276
OpenAlexW3158223078

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.