ReviewIndian journal of clinical biochemistry : IJCB2020
COVID-19: Current Trends in Invitro Diagnostics.
Review in Indian journal of clinical biochemistry : IJCB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- Advances research in porcine enteric coronavirus therapies and antiviral drugs.The veterinary quarterly · 2024Review
- Comparison of clinician diagnosis of COVID-19 with real time polymerase chain reaction in an adult-representative population in Sweden.Respiratory research · 2023Article
- Impact of Covishield Vaccination in Terms of SARS CoV-2 Neutralizing Antibody Expression.Indian journal of clinical biochemistry : IJCB · 2023Article
- Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review.Sensors (Basel, Switzerland) · 2022Review
- Novel bridge multi-species ELISA for detection of SARS-CoV-2 antibodies.Journal of immunological methods · 2022Article
- SARS-CoV-2 origin, myths and diagnostic technology developments.The Egyptian journal of medical human genetics · 2022Review
- Rapid Detection of SARS-CoV-2 Virus Using Dual Reverse Transcriptional Colorimetric Loop-Mediated Isothermal Amplification.ACS omega · 2021Article
- Point-of-care test system for detection of immunoglobulin-G and -M against nucleocapsid protein and spike glycoprotein of SARS-CoV-2.Sensors and actuators. B, Chemical · 2021Article
- A Shift in Medical Education During the COVID-19 Pandemic.Advances in experimental medicine and biology · 2021Article
- Review on COVID-19 Etiopathogenesis, Clinical Presentation and Treatment Available with Emphasis on ACE2.Indian journal of clinical biochemistry : IJCB · 2021Review
- Summary of the Detection Kits for SARS-CoV-2 Approved by the National Medical Products Administration of China and Their Application for Diagnosis of COVID-19.Virologica Sinica · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus SARS-CoV-2 is the seventh known species of coronavirus, infectious to human beings. The pandemic COVID-19 spread all over the world with an unprecedented spreading rate after its first appearance in Wuhan, China. As a novel viral disease there in no antiviral treatment or vaccine for the COVID-19. At present, the early detection and the quarantine of infected patients are the ways to stop the spreading of the disease. This review will discuss about the current invitro diagnostic methods used worldwide for the early and accurate diagnosis of COVID-19. Currently the nucleic acid based polymerase chain reaction is used as the reliable diagnostic platform and antigen/antibody detection immunoassays are playing the role of screening tests for early detection and prognosis in COVID-19 treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.