Evidence map›Paper›PMID 35363805›Full record

ArticlePloS one2022

SARS-CoV-2 detection in multi-sample pools in a real pandemic scenario: A screening strategy of choice for active surveillance.

Andrés Marcos Castellaro, Pablo Velez, Guillermo Giaj Merlera, Juan Rondan Dueñas, Felix Condat, Jesica Gallardo, Aylen Makhoul, Camila Cinalli, Lorenzo Rosales Cavaglieri, Guadalupe Di Cola and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

20 authors at 3 institutions in 1 country.

Andrés Marcos CastellaroDepartamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.ORCID 0000-0003-2360-0175
Pablo VelezUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Guillermo Giaj MerleraUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Juan Rondan DueñasUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Felix CondatUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Jesica GallardoUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Aylen MakhoulUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Camila CinalliUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Lorenzo Rosales CavaglieriUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
Guadalupe Di ColaInstituto de Virología "Doctor José María Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Paola SiciliaLaboratorio Central, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
Laura LópezDirección de Epidemiología, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
Facultad de Ciencias Químicas UNC Group
José Luis BoccoDepartamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
María Gabriela BarbásSecretaría de Prevención y Promoción de la Salud, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
Diego Hernán CardozoSecretaría de Prevención y Promoción de la Salud, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
María Belén PisanoInstituto de Virología "Doctor José María Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Viviana RéInstituto de Virología "Doctor José María Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Andrea BelausUnidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.ORCID 0000-0003-3707-0670
Gonzalo CastroLaboratorio Central, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.ORCID 0000-0002-0984-3835
Centro de Excelencia en Procesos y Productos de Córdoba · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARMinisterio de Salud · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current COVID-19 pandemic has overloaded the diagnostic capacity of laboratories by the gold standard method rRT-PCR. This disease has a high spread rate and almost a quarter of infected individuals never develop symptoms. In this scenario, active surveillance is crucial to stop the virus propagation.

methodsBetween July 2020 and April 2021, 11,580 oropharyngeal swab samples collected in closed and semi-closed institutions were processed for SARS-CoV-2 detection in pools, implementing this strategy for the first time in Córdoba, Argentina. Five-sample pools were constituted before nucleic acid extraction and amplification by rRT-PCR. Comparative analysis of cycle threshold (Ct) values from positive pools and individual samples along with a cost-benefit report of the whole performance of the results was performed.

resultsFrom 2,314 5-sample pools tested, 158 were classified as positive (6.8%), 2,024 as negative (87.5%), and 132 were categorized as indeterminate (5.7%). The Ct value shift due to sample dilution showed an increase in Ct of 2.6±1.53 cycles for N gene and 2.6±1.78 for ORF1ab gene. Overall, 290 pools were disassembled and 1,450 swabs were analyzed individually. This strategy allowed correctly identifying 99.8% of the samples as positive (7.6%) or negative (92.2%), avoiding the execution of 7,806 rRT-PCR reactions which represents a cost saving of 67.5%.

conclusionThis study demonstrates the feasibility of pooling samples to increase the number of tests performed, helping to maximize molecular diagnostic resources and reducing the work overload of specialized personnel during active surveillance of the COVID-19 pandemic.

Indexed as

COVID-19PandemicsHumansRNA, ViralSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingWatchful WaitingRNA, Viral

Identifiers

PMID35363805
PMCPMC8975135
OpenAlexW4225469030

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.