Evidence map›Paper›PMID 33394144›Full record

ReviewApplied microbiology and biotechnology2021

Detection technologies and recent developments in the diagnosis of COVID-19 infection.

Praveen Rai, Ballamoole Krishna Kumar, Vijaya Kumar Deekshit, Indrani Karunasagar, Iddya Karunasagar

Open access · bronzeAbstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 4 pooled it
40.4field-weighted citation impact, top 1% 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

168 citing papers in PubMed, 4 syntheses or guidelines pooled it, 334 citations in OpenAlex.

  1. Pooled it
  2. When to test for COVID-19 using real-time reverse transcriptase polymerase chain reaction: a systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
  3. Associations between Serum Interleukins (IL-1BioMed research international · 2022
    Pooled it
  4. Pooled it
  5. A multi-country phase 2 study to evaluate the suitcase lab for rapid detection of SARS-CoV-2 in seven Sub-Saharan African countries: Lessons from the field.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2023
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  20. Serum SARS-CoV-2-Specific Antibodies and Neutralization Capacity Following Vaccination.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2025
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108 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Praveen RaiNitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India. raiprav@nitte.edu.in.ORCID http://orcid.org/0000-0002-3695-4178
Ballamoole Krishna KumarNitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India.
Vijaya Kumar DeekshitNitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India.
Indrani KarunasagarNitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India.
Iddya KarunasagarNitte (Deemed to be University), University Enclave, Medical Sciences Complex, Deralakatte, Mangaluru, 575018, India. iddya.karunasagar@nitte.edu.in.
Nitte University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a disease caused by SARS-CoV-2 capable of causing mild to severe infections in humans. Since its first appearance in China in December 2019, the pandemic has spread rapidly throughout the world. Despite considerable efforts made to contain the disease, the virus has continued its prevalence in many countries with varying degrees of clinical manifestations. To contain this pandemic, collaborative approach involving accurate diagnosis, epidemiology, surveillance, and prophylaxis is essential. However, proper diagnosis using rapid technologies plays a crucial role. With increasing incidence of COVID-19 cases, the accurate and early detection of the SARS-CoV-2 is need of the hour for effective prevention and management of COVID-19 cases as well as to curb its spread. RT-qPCR assay is considered to be the gold standard for the early detection of virus, but this protocol has limited application to use as bedside test because of its technical complexity. To address these challenges, several POC assays have been developed to facilitate the COVID-19 diagnosis outside the centralized testing laboratories as well to accelerate the clinical decision making with a least turnaround time. Hence, in this report, we review different nucleic acid-based and serological techniques available for the diagnosis and effective prevention of COVID-19. KEY POINTS : • Provides comprehensive information on the different diagnostic tools available for COVID-19 • Nucleic acid based tests or antigen detection tests are used for diagnostic purpose • Accurate diagnosis is essential for the efficient management of COVID-19.

Indexed as

Antibodies, ViralCOVID-19COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingHumansRNA, ViralSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralRNA, ViralCOVID-19DiagnosisRT-LAMPRT-qPCRSARS-CoV-2Serology

Identifiers

PMID33394144
PMCPMC7780074
OpenAlexW3121036322

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.