Evidence map›Paper›PMID 34022333›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

A simplified alternative diagnostic algorithm for SARS-CoV-2 suspected symptomatic patients and confirmed close contacts (asymptomatic): A consensus of Latin American experts.

Fabian F Fay, Carlos Arturo Alvarez-Moreno, Pablo E Bonvehi, Carolina Cucho Espinoza, Marco Luis Herrera Hidalgo, Marcel Marcano-Lozada, Carlos M Perez, Alvaro Pulchinelli, Klever Vinicio Sáenz-Flor, Antonio Condino-Neto

Abstract readConsensus Statement
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fabian F FayCibic Laboratories, Rosario, Argentina.
Carlos Arturo Alvarez-MorenoFacultad de Medicina, Universidad Nacional de Colombia, Clinica Universitaria Colombia, Clinica Colsanitas, Bogotá, Colombia.
Pablo E BonvehiInfectious Diseases Unit, Clinical Investigation and Medical Education Center, Buenos Aires, Argentina.
Carolina Cucho EspinozaSchool of Medicine, National University of San Marcos, Dos de Mayo Hospital, Lima, Peru.
Marco Luis Herrera HidalgoUniversidad de Ciencias Médicas, San José, Costa Rica.
Marcel Marcano-LozadaAngios Vascular Center and Wound Clinic, Caracas, Venezuela; Juan Pablo II University, San Jose, Costa Rica.
Carlos M PerezFaculty of Medicine and Science, Universidad San Sebastian, Clinica Universidad de los Andes, Santiago, Chile.
Alvaro PulchinelliFederal University of São Paulo, Brazilian Society of Clinical Pathology, Fleury Medicina e Saúde Laboratory, São Paulo, Brazil.
Klever Vinicio Sáenz-FlorSchool of Medicine, Central University of Equator, Quito, Ecuador; Synlab Laboratories, Quito, Ecuador. Electronic address: kleversaenz@synlab.com.
Antonio Condino-NetoDepartment of Immunology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLatin America accounts for one-quarter of global COVID-19 cases and one-third of deaths. Inequalities in the region lead to barriers to the best use of diagnostic tests during the pandemic. There is a need for simplified guidelines that consider the region's limited health resources, international guidelines, medical literature, and local expertise.

methodsUsing a modified Delphi method, 9 experts from Latin American countries developed a simplified algorithm for COVID-19 diagnosis on the basis of their answers to 24 questions related to diagnostic settings, and discussion of the literature and their experiences.

resultsThe algorithm considers 3 timeframes (≤7 days, 8-13 days, and ≥14 days) and presents diagnostic options for each. SARS-CoV-2 real- time reverse transcription-polymerase chain reaction is the test of choice from day 1 to 14 after symptom onset or close contact, although antigen testing may be used in specific circumstances, from day 5 to 7. Antibody assays may be used for confirmation, usually after day 14; however, if clinical suspicion is very high, but other tests are negative, these assays may be used as an adjunct to decision-making from day 8 to 13.

conclusionThe proposed algorithm aims to support COVID-19 diagnosis decision-making in Latin America.

Indexed as

COVID-19SARS-CoV-2AlgorithmsCOVID-19 TestingHumansLatin AmericaAlgorithmCOVID-19DiagnosisLatin AmericaSARS-CoV- 2

Identifiers

PMID34022333
PMCPMC8133827

What OpenQuestion holds

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Registered trials

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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.