Evidence map›Paper›PMID 34067983›Full record

ArticleViruses2021

Critical Aspects Concerning the Development of a Pooling Approach for SARS-CoV-2 Diagnosis Using Large-Scale PCR Testing.

Daniel Cruceriu, Oana Baldasici, Loredana Balacescu, Stefana Gligor-Popa, Mirela Flonta, Milena A Man, Simona Visan, Catalin Vlad, Adrian P Trifa, Ovidiu Balacescu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 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
0.3field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

11 authors at 3 institutions in 1 country.

Daniel CruceriuDepartment of Genetics, Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Oana BaldasiciDepartment of Genetics, Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Loredana BalacescuDepartment of Genetics, Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Stefana Gligor-PopaDepartment of Oncogenetics, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Mirela FlontaLaboratory of Microbiology, Clinical Hospital of Infectious Diseases, 23, Iuliu Moldovan Street, 400348 Cluj-Napoca, Romania.ORCID 0000-0001-5478-8815
Milena A ManDepartment of Medical Sciences-Pulmonology, "Iuliu Hatieganu" University of Medicine and Pharmacy, 8, Victor Babes Street, 400012 Cluj-Napoca, Romania.ORCID 0000-0003-1770-842X
Simona VisanDepartment of Genetics, Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Catalin VladDepartment of Surgery, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Adrian P TrifaDepartment of Oncogenetics, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Ovidiu BalacescuDepartment of Genetics, Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.ORCID 0000-0003-0253-7103
Patriciu Achimas-CadariuDepartment of Surgery, The Oncology Institute "Prof. Dr. Ion Chiricuta", 34-36, Republicii Street, 400015 Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROInstitute of Oncology Prof. Dr. Ion Chiricuta · ROBabeș-Bolyai University · RO

Funding

UEFISCDI-FEDER BIOGENONCO -ID P_40_318; MySMIS Code: 105774
6 · The paper itself

Abstract

The primary approach to controlling the spread of the pandemic SARS-CoV-2 is to diagnose and isolate the infected people quickly. Our paper aimed to investigate the efficiency and the reliability of a hierarchical pooling approach for large-scale PCR testing for SARS-CoV-2 diagnosis. To identify the best conditions for the pooling approach for SARS-CoV-2 diagnosis by RT-qPCR, we investigated four manual methods for both RNA extraction and PCR assessment targeting one or more of the RdRp, N, S, and ORF1a genes, by using two PCR devices and an automated flux for SARS-CoV-2 detection. We determined the most efficient and accurate diagnostic assay, taking into account multiple parameters. The optimal pool size calculation included the prevalence of SARS-CoV-2, the assay sensitivity of 95%, an assay specificity of 100%, and a range of pool sizes of 5 to 15 samples. Our investigation revealed that the most efficient and accurate procedure for detecting the SARS-CoV-2 has a detection limit of 2.5 copies/PCR reaction. This pooling approach proved to be efficient and accurate in detecting SARS-CoV-2 for all samples with individual quantification cycle (Cq) values lower than 35, accounting for more than 94% of all positive specimens. Our data could serve as a comprehensive practical guide for SARS-CoV-2 diagnostic centers planning to address such a pooling strategy.

Indexed as

COVID-19COVID-19 TestingHigh-Throughput Screening AssaysHumansPandemicsReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, ViralSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingRNA, ViralCOVID-19molecular diagnosticnasopharyngeal swabsRNA extractionRT-qPCRsample poolingSARS-CoV-2

Identifiers

PMID34067983
PMCPMC8152296
OpenAlexW3161115841

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.