Evidence map›Paper›PMID 33100439›Full record

ReviewTrends in analytical chemistry : TRAC2020

Analytical insights of COVID-19 pandemic.

Gayathri Chellasamy, Shiva Kumar Arumugasamy, Saravanan Govindaraju, Kyusik Yun

Open access · greenAbstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Ligand-based design, synthesis, computational insights, andJournal of enzyme inhibition and medicinal chemistry · 2022
    Article
  6. Review
  7. Heterologous immunity induced by 1Frontiers in immunology · 2022
    Review
  8. Liver function in COVID-19 infection.World journal of hepatology · 2021
    Review
  9. The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.Information systems frontiers : a journal of research and innovation · 2021
    Article
  10. 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 1 institution in 1 country.

Gayathri ChellasamyDepartment of Bionanotechnology, Gachon University, Gyeonggi-do, 13120, Republic of Korea.
Shiva Kumar ArumugasamyDepartment of Bionanotechnology, Gachon University, Gyeonggi-do, 13120, Republic of Korea.
Saravanan GovindarajuDepartment of Bionanotechnology, Gachon University, Gyeonggi-do, 13120, Republic of Korea.
Kyusik YunDepartment of Bionanotechnology, Gachon University, Gyeonggi-do, 13120, Republic of Korea.
Gachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (2019-nCoV or SARS-CoV-2). Genomic analysis has revealed that bat and pangolin coronaviruses are phylogenetically related to SARS-CoV-2. The actual origin and passage history of the virus are unknown, but human-human transmission of the virus has been confirmed. Several diagnostic techniques have been developed to detect COVID-19 in this prevailing pandemic period. In this review, we provide an overview of SARS-CoV-2 and other coronaviruses. The origin, structure, current diagnostic techniques, such as molecular assays based on oligonucleotides, immunoassay-based detection, nanomaterial-based biosensing, and distinctive sample based detection are also discussed. Furthermore, our review highlights the admissible treatment strategies for COVID-19 and future perspectives on the development of biosensing techniques and vaccines for the diagnosis and prevention of the disease, respectively.

Indexed as

COVID-19Diagnostic techniquesGenomePandemic outbreakTreatmentVaccines

Identifiers

PMID33100439
PMCPMC7567672
OpenAlexW3092734799

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.