Evidence map›Paper›PMID 34073756›Full record

ReviewBiosensors2021

Clinical Utility of Biosensing Platforms for Confirmation of SARS-CoV-2 Infection.

Le Minh Tu Phan, My-Van Tieu, Thi-Thu Pham, Sungbo Cho

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Le Minh Tu PhanDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Korea.ORCID 0000-0002-6590-046X
My-Van TieuTST Trading Service Technology Co., Ltd., Hochiminh City 723000, Vietnam.ORCID 0000-0002-5359-5760
Thi-Thu PhamSchool of Medicine and Pharmacy, The University of Danang, Danang 550000, Vietnam.
Sungbo ChoDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Korea.ORCID 0000-0003-3839-6410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite collaborative efforts from all countries, coronavirus disease 2019 (COVID-19) pandemic has been continuing to spread globally, forcing the world into social distancing period, making a special challenge for public healthcare system. Before vaccine widely available, the best approach to manage severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is to achieve highest diagnostic accuracy by improving biosensor efficacy. For SARS-CoV-2 diagnostics, intensive attempts have been made by many scientists to ameliorate the drawback of current biosensors of SARS-CoV-2 in clinical diagnosis to offer benefits related to platform proposal, systematic analytical methods, system combination, and miniaturization. This review assesses ongoing research efforts aimed at developing integrated diagnostic tools to detect RNA viruses and their biomarkers for clinical diagnostics of SARS-CoV-2 infection and further highlights promising technology for SARS-CoV-2 specific diagnosis. The comparisons of SARS-CoV-2 biomarkers as well as their applicable biosensors in the field of clinical diagnosis were summarized to give scientists an advantage to develop superior diagnostic platforms. Furthermore, this review describes the prospects for this rapidly growing field of diagnostic research, raising further interest in analytical technology and strategic plan for future pandemics.

Indexed as

AnimalsBiosensing TechniquesColorimetryCOVID-19 TestingElectrochemical TechniquesEnzyme-Linked Immunosorbent AssayEquipment DesignHumansNucleic Acid Amplification TechniquesPoint-of-Care TestingSARS-CoV-2COVID-19 clinical diagnosticselectrochemical biosensorELISAlab-in-a-tubelateral flow assaynucleic acid amplificationoptical biosensorRT-LAMPRT-PCRSARS-CoV-2

Identifiers

PMID34073756
PMCPMC8225209

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.