Evidence map›Paper›PMID 36818907›Full record

ReviewThe Malaysian journal of medical sciences : MJMS2022

Advancements in Detection Approaches of Severe Acute Respiratory Syndrome Coronavirus 2.

M A Motalib Hossain, Syed Muhammad Kamal Uddin, Abu Hashem, Mohammad Al Mamun, Suresh Sagadevan, Mohd Rafie Johan

Open access · diamondAbstract readReview
In one paragraph

Review in The Malaysian journal of medical sciences : MJMS, 2022. 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
0.2field-weighted citation impact, top 47% 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, 3 citations in OpenAlex.

  1. Review
  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

6 authors at 1 institution in 2 countries.

M A Motalib HossainNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
Syed Muhammad Kamal UddinNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
Abu HashemNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
Mohammad Al MamunNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
Suresh SagadevanNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
Mohd Rafie JohanNanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur, Malaysia.
University of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic testing to identify individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays a key role in selecting appropriate treatments, saving people's lives and preventing the global pandemic of COVID-19. By testing on a massive scale, some countries could successfully contain the disease spread. Since early viral detection may provide the best approach to curb the disease outbreak, the rapid and reliable detection of coronavirus (CoV) is therefore becoming increasingly important. Nucleic acid detection methods, especially real-time reverse transcription polymerase chain reaction (RT-PCR)-based assays are considered the gold standard for COVID-19 diagnostics. Some non-PCR-based molecular methods without thermocycler operation, such as isothermal nucleic acid amplification have been proved promising. Serologic immunoassays are also available. A variety of novel and improved methods based on biosensors, Clustered-Regularly Interspaced Short Palindromic Repeats (CRISPR) technology, lateral flow assay (LFA), microarray, aptamer etc. have also been developed. Several integrated, random-access, point-of-care (POC) molecular devices are rapidly emerging for quick and accurate detection of SARS-CoV-2 that can be used in the local hospitals and clinics. This review intends to summarize the currently available detection approaches of SARS-CoV-2, highlight gaps in existing diagnostic capacity, and propose potential solutions and thus may assist clinicians and researchers develop better technologies for rapid and authentic diagnosis of CoV infection.

Indexed as

COVID-19detection approachnucleic acidRT-qPCRSARS-CoV-2

Identifiers

PMID36818907
PMCPMC9910375
OpenAlexW4312177305

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.