Evidence map›Paper›PMID 37436266›Full record

ArticleEinstein (Sao Paulo, Brazil)2023

RT-qPCR-based pool testing for the diagnosis of COVID-19.

Hugo Itaru Sato, Murilo Soares Costa, Ricardo Hiroshi Caldeira Takahashi, Karine Lima Lourenço, Nathalia Sernizon Guimarães, Claudia Regina Lindgren Alves, Elaine Leandro Machado, Unaí Tupinambás, Flávio Guimarães da Fonseca, Santuza Maria Ribeiro Teixeira

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

10 authors.

Hugo Itaru SatoVaccine Technology Center, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-5180-9983
Murilo Soares CostaPostgraduate Program in Infectious Diseases and Tropical Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-5688-4824
Ricardo Hiroshi Caldeira TakahashiMathematics Department, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0003-0814-6314
Karine Lima LourençoVaccine Technology Center, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-6090-4253
Nathalia Sernizon GuimarãesGraduate Program in Collective Health, Universidade Federal da Bahia, Salvador, BA, Brazil.ORCID http://orcid.org/0000-0002-0487-0500
Claudia Regina Lindgren AlvesDepartment of Pediatrics, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-0885-1729
Elaine Leandro MachadoDepartment of Preventive and Social Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-3226-3476
Unaí TupinambásMedical Clinic Department, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-6833-3870
Flávio Guimarães da FonsecaVaccine Technology Center, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-1416-8694
Santuza Maria Ribeiro TeixeiraVaccine Technology Center, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-2588-2842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes a strategy for large-scale testing among a large number of people for the early diagnosis of COVID-19 to elucidate the epidemiological situation. Pool testing involves the analysis of pooled samples. This study aimed to discuss a reverse transcription technique followed by quantitative real-time polymerase chain reaction using pool testing to detect SARS-CoV-2 in nasopharyngeal swab samples. The study proposes an innovative diagnostic strategy that contributes to resource optimization, cost reduction, and improved agility of feedback from results. Pool testing is simultaneously performed on multiple samples to efficiently and cost-effectively detect COVID-19. Pool testing can optimize resource utilization and expand diagnostic access, and is a viable alternative for developing countries with limited access to testing. To optimize resources, the pool size was determined by estimating COVID-19 prevalence in the study population.

Indexed as

COVID-19Clinical Laboratory TechniquesCOVID-19 TestingHumansReal-Time Polymerase Chain ReactionSARS-CoV-2Sensitivity and Specificity

Identifiers

PMID37436266
PMCPMC10317113

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.