Evidence map›Paper›PMID 35582343›Full record

ArticleIEEE sensors journal2021

Portable Tools for COVID-19 Point-of-Care Detection: A Review.

Elga F Saki, Samuel A Setiawan, Dedy H B Wicaksono

Abstract read
In one paragraph

Article in IEEE sensors journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Assessment of Reader Technologies for Over-the-Counter Diagnostic Testing.IEEE open journal of engineering in medicine and biology · 2024
    Article
  4. Review
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

3 authors.

Elga F SakiDepartment of Biomedical EngineeringFaculty of Life Sciences and TechnologySwiss German University (SGU) Tangerang 15143 Indonesia.
Samuel A SetiawanPT AP&M Jakarta 12950 Indonesia.
Dedy H B WicaksonoDepartment of Biomedical EngineeringFaculty of Life Sciences and TechnologySwiss German University (SGU) Tangerang 15143 Indonesia.ORCID https://orcid.org/0000-0003-1218-6853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, several methods for SARS-CoV-2 detection have been developed to obtain rapid, portable, cheap, and easy-to-use diagnostic tools. This review paper summarizes and discusses studies on the development of point-of-care devices for SARS-CoV-2 diagnosis with comparisons between them from several aspects. Various detection methods of the recently developed portable COVID-19 biosensor will be presented in this review. The discussion is divided into four major classifications based on the target biomarkers of SARS-CoV-2, such as antibodies, nucleic acids, antigens, and metabolic products. An overview of the potential development for future study is also provided. Moreover, basic knowledge of biosensors is also explained for tutoring the implementation of theory into the research of COVID-19 biosensors. This review paper is aimed to provide a tutorial by collecting the information on the development of a point-of-care device for SARS-CoV-2 detection to provide information for further research and propose the new COVID-19 portable diagnostic tool.

Indexed as

antibody-based testsantigen-based testsbiosensorCOVID-19electronic noseelectronic tonguenucleic acid-based testspoint-of-care deviceSARS-CoV-2

Identifiers

PMID35582343
PMCPMC8864949

What OpenQuestion holds

Textmetadata
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.