Evidence map›Paper›PMID 36014162›Full record

ReviewMicromachines2022

Microfluidics-Based POCT for SARS-CoV-2 Diagnostics.

Binfeng Yin, Xinhua Wan, A S M Muhtasim Fuad Sohan, Xiaodong Lin

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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  20. Microfluidic Paper-based Device for Medicinal Diagnosis.Current topics in medicinal chemistry · 2022
    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

4 authors at 2 institutions in 1 country.

Binfeng YinSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-0484-4951
Xinhua WanSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0003-2550-9420
A S M Muhtasim Fuad SohanSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-0490-1119
Xiaodong LinCollege of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.ORCID 0000-0002-0639-0017
Yangzhou University · CNZhengzhou University of Light Industry · CN

Funding

Doctoral Scientific Research Foundation of Zhengzhou University of Light Industry 2021BSJJ001Jiangsu Agricultural Science and Technology Innovation Fund CX(21)3162National Natural Science Foundation of China 52075138Natural Science Foundation of Jiangsu Province BK20190872Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX22_3479
6 · The paper itself

Abstract

A microfluidic chip is a tiny reactor that can confine and flow a specific amount of fluid into channels of tens to thousands of microns as needed and can precisely control fluid flow, pressure, temperature, etc. Point-of-care testing (POCT) requires small equipment, has short testing cycles, and controls the process, allowing single or multiple laboratory facilities to simultaneously analyze biological samples and diagnose infectious diseases. In general, rapid detection and stage assessment of viral epidemics are essential to overcome pandemic situations and diagnose promptly. Therefore, combining microfluidic devices with POCT improves detection efficiency and convenience for viral disease SARS-CoV-2. At the same time, the POCT of microfluidic chips increases user accessibility, improves accuracy and sensitivity, shortens detection time, etc., which are beneficial in detecting SARS-CoV-2. This review shares recent advances in POCT-based testing for COVID-19 and how it is better suited to help diagnose in response to the ongoing pandemic.

Indexed as

microfluidicpoint of care testingSARS-CoV-2

Identifiers

PMID36014162
PMCPMC9413395
OpenAlexW4289314068

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.