Evidence map›Paper›PMID 34206932›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Sample-Pooling Strategy for SARS-CoV-2 Detection among Students and Staff of the University of Sannio.

Immacolata Polvere, Elena Silvestri, Lina Sabatino, Antonia Giacco, Stefania Iervolino, Teresa Peluso, Rosa Guida, Lucrezia Zerillo, Romualdo Varricchio, Silvia D'Andrea and 6 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

16 authors at 1 institution in 1 country.

Immacolata PolvereDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Elena SilvestriDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Lina SabatinoDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.ORCID 0000-0001-5341-7430
Antonia GiaccoDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Stefania IervolinoDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Teresa PelusoDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Rosa GuidaDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Lucrezia ZerilloDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Romualdo VarricchioGenus Biotech, Università degli Studi del Sannio, SS Appia, 82030 Apollosa, Italy.ORCID 0000-0003-2288-1868
Silvia D'AndreaGenus Biotech, Università degli Studi del Sannio, SS Appia, 82030 Apollosa, Italy.
Serena VoccolaGenus Biotech, Università degli Studi del Sannio, SS Appia, 82030 Apollosa, Italy.
Jessica Raffaella MaderaDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Alberto ZulloDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Romania StiloDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.
Pasquale VitoDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.ORCID 0000-0002-5721-7716
Tiziana ZottiDipartimento di Scienze e Tecnologie, Università Degli Studi del Sannio, Via dei Mulini, 82100 Benevento, Italy.ORCID 0000-0003-4753-116X
University of Sannio · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca CUP F26C18000160005
6 · The paper itself

Abstract

Since the beginning of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic, it has been clear that testing large groups of the population was the key to stem infection and prevent the effects of the coronavirus disease of 2019, mostly among sensitive patients. On the other hand, time and cost-sustainability of virus detection by molecular analysis such as reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) may be a major issue if testing is extended to large communities, mainly asymptomatic large communities. In this context, sample-pooling and test grouping could offer an effective solution. Here we report the screening on 1195 oral-nasopharyngeal swabs collected from students and staff of the Università degli Studi del Sannio (University of Sannio, Benevento, Campania, Italy) and analyzed by an in-house developed multiplex RT-qPCR for SARS-CoV-2 detection through a simple monodimensional sample pooling strategy. Overall, 400 distinct pools were generated and, within 24 h after swab collection, five positive samples were identified. Out of them, four were confirmed by using a commercially available kit suitable for in vitro diagnostic use (IVD). High accuracy, sensitivity and specificity were also determined by comparing our results with a reference IVD assay for all deconvoluted samples. Overall, we conducted 463 analyses instead of 1195, reducing testing resources by more than 60% without lengthening diagnosis time and without significant losses in sensitivity, suggesting that our strategy was successful in recognizing positive cases in a community of asymptomatic individuals with minor requirements of reagents and time when compared to normal testing procedures.

Indexed as

RT-qPCRsample poolingSARS-CoV-2

Identifiers

PMID34206932
PMCPMC8303429
OpenAlexW3174342816

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.