Evidence map›Paper›PMID 34774862›Full record

ReviewInternational journal of biological macromolecules2021

COVID-19 Diagnosis: Current and Future Techniques.

Aarjoo Sharma, Sanjeev Balda, Mansi Apreja, Kirti Kataria, Neena Capalash, Prince Sharma

Abstract readReview
In one paragraph

Review in International journal of biological macromolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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  11. Lessons identified for a future pandemic.The Journal of antimicrobial chemotherapy · 2023
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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.

Aarjoo SharmaDepartment of Microbiology, Panjab University, Chandigarh, India.
Sanjeev BaldaDepartment of Microbiology, Panjab University, Chandigarh, India.
Mansi AprejaDepartment of Microbiology, Panjab University, Chandigarh, India.
Kirti KatariaDepartment of Microbiology, Panjab University, Chandigarh, India.
Neena CapalashDepartment of Biotechnology, Panjab University, Chandigarh, India.
Prince SharmaDepartment of Microbiology, Panjab University, Chandigarh, India. Electronic address: princess@pu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic continues to be a global threat, affecting more than 200 countries/territories at both human and economic level. This necessitates the rapid development of highly reliable diagnostic methods in order to effectively and accurately diagnose the pathology to prevent the spread of COVID-19. Currently, RT-PCR is the most widely used method worldwide for SARS-CoV-2 detection. Serological assays are being used for sero-surveys of SARS-CoV-2 antibody prevalence in the community. Radiology imaging has been useful in the clinical diagnosis of COVID-19. These methods have their own limitations and there are continued efforts to develop easier, economic, highly sensitive and specific, point-of-care methods. Reverse transcription-loop mediated isothermal amplification (RT-LAMP), nucleic acid sequence-based amplification (NASBA), CRISPR-Cas-based detection, and digital PCR are such techniques being employed in research laboratories, with many awaiting diagnostic approval from competent authorities. This review highlights the rapidly expanding array of existing and in-development diagnostic tests/strategies that may be used to diagnose SARS-CoV-2 infection in both clinical and research settings.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPandemicsPoint-of-Care SystemsHumansRNA, ViralSARS-CoV-2RNA, ViralBiosensorsCOVID-19CRISPR-CasDiagnosisNanobodiesNucleic acidsSerology

Identifiers

PMID34774862
PMCPMC8585557

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.