Evidence map›Paper›PMID 34562514›Full record

ArticleJournal of virological methods2021

Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples.

Akshita Gupta, Anushika Soni, Sheetalnath Rooge, Diptanu Paul, Reshu Agarwal, Bansidhar Tarai, Ekta Gupta

Abstract read
In one paragraph

Article in Journal of virological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Akshita GuptaDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: akshitagupta1412@gmail.com.
Anushika SoniDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: dranushkasoni@yahoo.co.in.
Sheetalnath RoogeDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: sheetalnath.rooge@gmail.com.
Diptanu PaulDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: drdiptanumicro@gmail.com.
Reshu AgarwalDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: agarwalreshu286@gmail.com.
Bansidhar TaraiDepartment of Microbiology and Infection Control, Max Super Speciality Hospital, New Delhi, India. Electronic address: bansidhar.tarai@maxhealthcare.com.
Ekta GuptaDepartment of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi, India. Electronic address: ekta.gaurisha@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The QIAstat-Dx SARS-CoV-2 panel is a multiplex cartridge based assay based on real time PCR which can detect 17 respiratory viruses, including the novel coronavirus SARS-CoV-2. A syndromic approach is the need of the hour for COVID-19 diagnostics among patients presenting with respiratory symptoms. The present study was done to evaluate 120 archived respiratory clinical specimens for SARS-CoV-2 on the SARS-CoV-2 panel. Further, 27 specimens were tested for other respiratory viruses, in comparison with the BioFire RP1.7 platform. The sensitivity and specificity for SARS-CoV-2 on SARS panel was found to be 90.00 % and 100 % respectively, indicating good diagnostic accuracy. The positive predictive value was found to be 100 %, negative predictive value was found to be 99.93 % and accuracy was 99.93 %. Detection of other respiratory viruses observed a concordance of 77.7 %. Despite advantages of speed, minimal expertise and accurate results; significant costs and discrepancies at Ct >35 remain important limitations of the SARS panel.

Indexed as

COVID-19VirusesHumansReal-Time Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityCBNAATClinical evaluationCOVID-19DiagnosticsPoint of care

Identifiers

PMID34562514
PMCPMC8457645

What OpenQuestion holds

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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.