Evidence map›Paper›PMID 34562885›Full record

ReviewBiosensors2021

Recent Advances in Novel Lateral Flow Technologies for Detection of COVID-19.

Wesley Wei-Wen Hsiao, Trong-Nghia Le, Dinh Minh Pham, Hui-Hsin Ko, Huan-Cheng Chang, Cheng-Chung Lee, Neha Sharma, Cheng-Kang Lee, Wei-Hung Chiang

Abstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Review
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  11. Synthesis of tetrazole hybridized with thiazole, thiophene or thiadiazole derivatives, molecular modelling and antimicrobial activity.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  12. Article
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  19. Recent Trends in Lateral Flow Immunoassays with Optical Nanoparticles.International journal of molecular sciences · 2023
    Review
  20. 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

9 authors.

Wesley Wei-Wen HsiaoDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.ORCID 0000-0002-1346-327X
Trong-Nghia LeDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.ORCID 0000-0002-1841-0310
Dinh Minh PhamGENTIS JSC, 249A, Thuy Khue, Tay Ho, Hanoi 100000, Vietnam.ORCID 0000-0002-8447-6289
Hui-Hsin KoInstitute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
Huan-Cheng ChangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Cheng-Chung LeeInstitute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
Neha SharmaDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Cheng-Kang LeeDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Wei-Hung ChiangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.ORCID 0000-0002-6350-6696

Funding

Ministry of Science and Technology, Taiwan 110-2222-E-011-004
6 · The paper itself

Abstract

The development of reliable and robust diagnostic tests is one of the most efficient methods to limit the spread of coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). However, most laboratory diagnostics for COVID-19, such as enzyme-linked immunosorbent assay (ELISA) and reverse transcriptase-polymerase chain reaction (RT-PCR), are expensive, time-consuming, and require highly trained professional operators. On the other hand, the lateral flow immunoassay (LFIA) is a simpler, cheaper device that can be operated by unskilled personnel easily. Unfortunately, the current technique has some limitations, mainly inaccuracy in detection. This review article aims to highlight recent advances in novel lateral flow technologies for detecting SARS-CoV-2 as well as innovative approaches to achieve highly sensitive and specific point-of-care testing. Lastly, we discuss future perspectives on how smartphones and Artificial Intelligence (AI) can be integrated to revolutionize disease detection as well as disease control and surveillance.

Indexed as

Artificial IntelligenceCOVID-19COVID-19 TestingHumansImmunoassayPoint-of-Care TestingSARS-CoV-2Sensitivity and SpecificitySmartphoneartificial intelligenceCOVID-19lateral flow assaypoint-of-care testingSARS-CoV-2

Identifiers

PMID34562885
PMCPMC8466143

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.