Evidence map›Paper›PMID 34062417›Full record

ReviewBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2021

CRISPR is a useful biological tool for detecting nucleic acid of SARS-CoV-2 in human clinical samples.

Md Rashidur Rahman, Md Amjad Hossain, Md Mozibullah, Fateh Al Mujib, Afrina Afrose, Md Shahed-Al-Mahmud, Md Aminul Islam Apu

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  14. Therapeutic potentials of CRISPR-Cas genome editing technology in human viral infections.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
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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

7 authors at 5 institutions in 4 countries.

Md Rashidur RahmanDepartment of Chemical Engineering, Kyushu University, Japan; Department of Pharmacy, Jashore University of Science and Technology, Bangladesh. Electronic address: mr.rahman@just.edu.bd.
Md Amjad HossainDepartment of Biochemistry and Molecular Biology, Mawlana Bhashani Science and Technology University, Bangladesh.
Md MozibullahDepartment of Biochemistry and Molecular Biology, Mawlana Bhashani Science and Technology University, Bangladesh.
Fateh Al MujibDepartment of Pharmacy, Mawlana Bhashani Science and Technology University, Bangladesh.
Afrina AfroseDepartment of Pharmacy, BRAC University, Bangladesh.
Md Shahed-Al-MahmudDepartment of Microbiology and Immunology, School of Medicine, Tzu Chi University, Hualien, Taiwan; Genomics Research Center, Academia Sinica, Taipei, Taiwan.
Md Aminul Islam ApuGraduate School of International Agricultural Technology, Seoul National University, South Korea.
Mawlana Bhashani Science and Technology University · BDBRAC University · BDKyushu University · JPSeoul National University · KRTzu Chi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent pandemic of novel coronavirus disease (COVID-19) has spread globally and infected millions of people. The quick and specific detection of the nucleic acid of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) remains a challenge within healthcare providers. Currently, quantitative reverse transcription-polymerase chain reaction (RT-qPCR) is the widely used method to detect the SARS-CoV-2 from the human clinical samples. RT-qPCR is expensive equipment and needs skilled personnel as well as lengthy detection time. RT-qPCR limitation needed an alternative healthcare technique to overcome with a fast and cheaper detection method. By applying the principles of CRISPR technology, several promising detection methods giving hope to the healthcare community. CRISPR-based detection methods include SHERLOCK-Covid, STOP-Covid, AIOD-CRISPR, and DETECTR platform. These methods have comparative advantages and drawbacks. Among these methods, AIOD-CRISPR and DETECTR are reasonably better diagnostic methods than the others if we compare the time taken for the test, the cost associated with each test, and their capability of detecting SARS-CoV-2 in the clinical samples. It may expect that the promising CRISPR-based methods would facilitate point-of-care (POC) applications in the CRISPR-built next-generation novel coronavirus diagnostics.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCOVID-19COVID-19 TestingCRISPR-Cas SystemsHumansPandemicsSARS-CoV-2COVID-19CRISPRDiagnosticsNucleic acidSARS-CoV-2

Identifiers

PMID34062417
PMCPMC8156908
OpenAlexW3165509837

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.