Evidence map›Paper›PMID 34205852›Full record

ReviewSensors (Basel, Switzerland)2021

Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform.

Reena Sri Selvarajan, Subash C B Gopinath, Noraziah Mohamad Zin, Azrul Azlan Hamzah

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  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 at 2 institutions in 1 country.

Reena Sri SelvarajanInstitute of Microengineering and Nanoelectronics (IMEN), National University of Malaysia (UKM), Bangi 43600, Malaysia.ORCID 0000-0003-3843-2784
Subash C B GopinathInstitute of Nano Electronic Engineering (INEE), University Malaysia Perlis (UniMAP), Kangar 01000, Malaysia.ORCID 0000-0002-8347-4687
Noraziah Mohamad ZinCenter for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, National University of Malaysia (UKM), Kuala Lumpur 50300, Malaysia.ORCID 0000-0002-7839-1246
Azrul Azlan HamzahInstitute of Microengineering and Nanoelectronics (IMEN), National University of Malaysia (UKM), Bangi 43600, Malaysia.ORCID 0000-0001-8916-4420
National University of Malaysia · MYUniversiti Malaysia Perlis · MY

Funding

Ministry of Higher Education, Malaysia AKU 254: HICoE (Fasa II) 'MEMS for Biomedical Devices 617 (artificial kidney)'
6 · The paper itself

Abstract

The race towards the development of user-friendly, portable, fast-detection, and low-cost devices for healthcare systems has become the focus of effective screening efforts since the pandemic attack in December 2019, which is known as the coronavirus disease 2019 (COVID-19) pandemic. Currently existing techniques such as RT-PCR, antigen-antibody-based detection, and CT scans are prompt solutions for diagnosing infected patients. However, the limitations of currently available indicators have enticed researchers to search for adjunct or additional solutions for COVID-19 diagnosis. Meanwhile, identifying biomarkers or indicators is necessary for understanding the severity of the disease and aids in developing efficient drugs and vaccines. Therefore, clinical studies on infected patients revealed that infection-mediated clinical biomarkers, especially pro-inflammatory cytokines and acute phase proteins, are highly associated with COVID-19. These biomarkers are undermined or overlooked in the context of diagnosis and prognosis evaluation of infected patients. Hence, this review discusses the potential implementation of these biomarkers for COVID-19 electrical biosensing platforms. The secretion range for each biomarker is reviewed based on clinical studies. Currently available electrical biosensors comprising electrochemical and electronic biosensors associated with these biomarkers are discussed, and insights into the use of infection-mediated clinical biomarkers as prognostic and adjunct diagnostic indicators in developing an electrical-based COVID-19 biosensor are provided.

Indexed as

Biosensing TechniquesCOVID-19BiomarkersCOVID-19 TestingHumansPandemicsSARS-CoV-2Biomarkersacute phase proteinsadjunct diagnostic biomarkerscytokine stormelectrochemical sensorselectronic biosensorsprognostic indicatorspro-inflammatory cytokines

Identifiers

PMID34205852
PMCPMC8198817
OpenAlexW3167175111

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.