Evidence map›Paper›PMID 33931684›Full record

ArticleScientific reports2021

Evaluation of mobile real-time polymerase chain reaction tests for the detection of severe acute respiratory syndrome coronavirus 2.

Chukwunonso Onyilagha, Henna Mistry, Peter Marszal, Mathieu Pinette, Darwyn Kobasa, Nikesh Tailor, Yohannes Berhane, Charles Nfon, Bradley Pickering, Samira Mubareka and 4 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

14 authors at 5 institutions in 1 country.

Chukwunonso Onyilagha *National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Henna Mistry *Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Peter MarszalNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Mathieu PinetteNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Darwyn KobasaNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
Nikesh TailorNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
Yohannes BerhaneNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Charles NfonNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Bradley PickeringNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Samira MubarekaSunnybrook Health Sciences Centre, Toronto, ON, Canada.
David BulirSt. Joseph's Healthcare, Hamilton, ON, Canada.
Sylvia ChongSt. Joseph's Healthcare, Hamilton, ON, Canada.
Robert KozakSunnybrook Health Sciences Centre, Toronto, ON, Canada. rob.kozak@sunnybrook.ca.
Aruna AmbagalaNational Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada.
Canadian Food Inspection Agency · CAPublic Health Agency of Canada · CASt. Joseph’s Healthcare Hamilton · CASunnybrook Health Science Centre · CAHealth Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), calls for prompt and accurate diagnosis and rapid turnaround time for test results to limit transmission. Here, we evaluated two independent molecular assays, the Biomeme SARS-CoV-2 test, and the Precision Biomonitoring TripleLock SARS-CoV-2 test on a field-deployable point-of-care real-time PCR instrument, Franklin three9, in combination with Biomeme M1 Sample Prep Cartridge Kit for RNA 2.0 (M1) manual extraction system for rapid, specific, and sensitive detection of SARS-COV-2 in cell culture, human, and animal clinical samples. The Biomeme SARS-CoV-2 assay, which simultaneously detects two viral targets, the orf1ab and S genes, and the Precision Biomonitoring TripleLock SARS-CoV-2 assay that targets the 5' untranslated region (5' UTR) and the envelope (E) gene of SARS-CoV-2 were highly sensitive and detected as low as 15 SARS-CoV-2 genome copies per reaction. In addition, the two assays were specific and showed no cross-reactivity with Middle Eastern respiratory syndrome coronavirus (MERS-CoV), infectious bronchitis virus (IBV), porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis (TGE) virus, and other common human respiratory viruses and bacterial pathogens. Also, both assays were highly reproducible across different operators and instruments. When used to test animal samples, both assays equally detected SARS-CoV-2 genetic materials in the swabs from SARS-CoV-2-infected hamsters. The M1 lysis buffer completely inactivated SARS-CoV-2 within 10 min at room temperature enabling safe handling of clinical samples. Collectively, these results show that the Biomeme and Precision Biomonitoring TripleLock SARS-CoV-2 mobile testing platforms could reliably and promptly detect SARS-CoV-2 in both human and animal clinical samples in approximately an hour and can be used in remote areas or health care settings not traditionally serviced by a microbiology laboratory.

Indexed as

AnimalsBuffersCOVID-19CricetinaeHumansMobile ApplicationsReagent Kits, DiagnosticReal-Time Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityTime FactorsBuffersReagent Kits, Diagnostic

Identifiers

PMID33931684
PMCPMC8087814
OpenAlexW3159902593

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.