Evidence map›Paper›PMID 32330437›Full record

SynthesisThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

COVID-19: a meta-analysis of diagnostic test accuracy of commercial assays registered in Brazil.

Rodolfo Castro, Paula M Luz, Mayumi D Wakimoto, Valdilea G Veloso, Beatriz Grinsztejn, Hugo Perazzo

2 registry-linked trialsOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 68 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 6 pooled it
3.5field-weighted citation impact, top 4% 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.

NCT04473352 unknown statusnot on this map

Diagnostic Accuracy of COVID-19 Detection Tests in Different Body Fluids of Infected Men and Concordance With Viral Cultures

Typeobservational_patient_registrySponsorNucleo De Pesquisa E Desenvolvimento De Medicamentos Da Universidade Federal Do CearaRan2020 to 2021Enrolled80ConditionsCovid19
NCT04610489 naterminatednot on this map

Diagnostic Performance of an Antigen Test for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection (COVID-19)

TypeinterventionalSponsorCarilion ClinicRan2020 to 2021Enrolled117ConditionsCovid-19ArmsQuidel Sofia SARS Antigen FIA
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 6 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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  13. Cost-effectiveness analysis of COVID-19 tests in the unified health system.Cost effectiveness and resource allocation : C/E · 2023
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8 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Rodolfo CastroFundação Oswaldo Cruz (FIOCRUZ), Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Rio de Janeiro, RJ, Brazil; Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Instituto de Saúde Coletiva (ISC), Rio de Janeiro, RJ, Brazil.
Paula M LuzFundação Oswaldo Cruz (FIOCRUZ), Instituto Nacional de Infectologia Evandro Chagas (INI), Rio de Janeiro, RJ, Brazil.
Mayumi D WakimotoFundação Oswaldo Cruz (FIOCRUZ), Instituto Nacional de Infectologia Evandro Chagas (INI), Rio de Janeiro, RJ, Brazil.
Valdilea G VelosoFundação Oswaldo Cruz (FIOCRUZ), Instituto Nacional de Infectologia Evandro Chagas (INI), Rio de Janeiro, RJ, Brazil.
Beatriz GrinsztejnFundação Oswaldo Cruz (FIOCRUZ), Instituto Nacional de Infectologia Evandro Chagas (INI), Rio de Janeiro, RJ, Brazil.
Hugo PerazzoFundação Oswaldo Cruz (FIOCRUZ), Instituto Nacional de Infectologia Evandro Chagas (INI), Rio de Janeiro, RJ, Brazil. Electronic address: hugo.perazzo@ini.fiocruz.br.
Fundação Oswaldo Cruz · BRInstituto de Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accuracy of commercially available tests for COVID-19 in Brazil remains unclear. We aimed to perform a meta-analysis to describe the accuracy of available tests to detect COVID-19 in Brazil. We searched at the Brazilian Health Regulatory Agency (ANVISA) online platform to describe the pooled sensitivity (Se), specificity (Sp), diagnostic odds ratio (DOR) and summary receiver operating characteristic curves (SROC) for detection of IgM/IgG antibodies and for tests using naso/oropharyngeal swabs in the random-effects models. We identified 16 tests registered, mostly rapid-tests. Pooled diagnostic accuracy measures [95%CI] were: (i) for IgM antibodies Se=82% [76-87]; Sp=97% [96-98]; DOR=168 [92-305] and SROC=0.98 [0.96-0.99]; (ii) for IgG antibodies Se=97% [90-99]; Sp=98% [97-99]; DOR=1994 [385-10334] and SROC=0.99 [0.98-1.00]; and (iii) for detection of SARS-CoV-2 by antigen or molecular assays in naso/oropharyngeal swabs Se=97% [85-99]; Sp=99% [77-100]; DOR=2649 [30-233056] and SROC=0.99 [0.98-1.00]. These tests can be helpful for emergency testing during the COVID-19 pandemic in Brazil. However, it is important to highlight the high rate of false negative results from tests which detect SARS-CoV-2 IgM antibodies in the initial course of the disease and the scarce evidence-based validation results published in Brazil. Future studies addressing the diagnostic performance of tests for COVID-19 in the Brazilian population are urgently needed.

Indexed as

Antibodies, ViralBetacoronavirusBrazilClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansImmunoglobulin GImmunoglobulin MLogistic ModelsNasopharynxOdds RatioOropharynxPandemicsPneumonia, ViralAntibodies, ViralImmunoglobulin GImmunoglobulin MCoronavirusDiagnostic accuracySARS-CoV-2

Identifiers

PMID32330437
PMCPMC7165277
OpenAlexW3016924729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.