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COVID-19 meta-analyses: a scoping review and quality assessment

OBJECTIVE: To carry out a scoping review of the meta-analyses published regarding about coronavirus disease 2019 (COVID-19), evaluating their main characteristics, publication trends and methodological quality. METHODS: A bibliometric search was performed in PubMed(®), Scopus and Web of Science, foc...

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Detalles Bibliográficos
Autores principales: Pires, Gabriel Natan, Bezerra, Andréia Gomes, de Oliveira, Thainá Baenninger, Chen, Samuel Fen I, Malfatti, Victor Davis Apostolakis, de Mello, Victoria Feiner Ferreira, Niyama, Alyne, Pinto, Vitor Luiz Selva, Andersen, Monica Levy, Tufik, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942841/
https://www.ncbi.nlm.nih.gov/pubmed/33729287
http://dx.doi.org/10.31744/einstein_journal/2021AO6002
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author Pires, Gabriel Natan
Bezerra, Andréia Gomes
de Oliveira, Thainá Baenninger
Chen, Samuel Fen I
Malfatti, Victor Davis Apostolakis
de Mello, Victoria Feiner Ferreira
Niyama, Alyne
Pinto, Vitor Luiz Selva
Andersen, Monica Levy
Tufik, Sergio
author_facet Pires, Gabriel Natan
Bezerra, Andréia Gomes
de Oliveira, Thainá Baenninger
Chen, Samuel Fen I
Malfatti, Victor Davis Apostolakis
de Mello, Victoria Feiner Ferreira
Niyama, Alyne
Pinto, Vitor Luiz Selva
Andersen, Monica Levy
Tufik, Sergio
author_sort Pires, Gabriel Natan
collection PubMed
description OBJECTIVE: To carry out a scoping review of the meta-analyses published regarding about coronavirus disease 2019 (COVID-19), evaluating their main characteristics, publication trends and methodological quality. METHODS: A bibliometric search was performed in PubMed(®), Scopus and Web of Science, focusing on meta-analyses about COVID-2019 disease. Bibliometric and descriptive data for the included articles were extracted and the methodological quality of the included meta-analyses was evaluated using A Measurement Tool to Assess Systematic Reviews. RESULTS: A total of 348 meta-analyses were considered eligible. The first meta-analysis about COVID-19 disease was published on February 26, 2020, and the number of meta-analyses has grown rapidly since then. Most of them were published in infectious disease and virology journals. The greatest number come from China, followed by the United States, Italy and the United Kingdom. On average, these meta-analyses included 23 studies and 15,200 participants. Overall quality was remarkably low, and only 8.9% of them could be considered as of high confidence level. CONCLUSION: Although well-designed meta-analyses about COVID-19 disease have already been published, the majority are of low quality. Thus, all stakeholders playing a role in COVID-19 deseases, including policy makers, researchers, publishers and journals, should prioritize well-designed meta-analyses, performed only when the background information seem suitable, and discouraging those of low quality or that use suboptimal methods.
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spelling pubmed-79428412021-03-12 COVID-19 meta-analyses: a scoping review and quality assessment Pires, Gabriel Natan Bezerra, Andréia Gomes de Oliveira, Thainá Baenninger Chen, Samuel Fen I Malfatti, Victor Davis Apostolakis de Mello, Victoria Feiner Ferreira Niyama, Alyne Pinto, Vitor Luiz Selva Andersen, Monica Levy Tufik, Sergio Einstein (Sao Paulo) Original Article OBJECTIVE: To carry out a scoping review of the meta-analyses published regarding about coronavirus disease 2019 (COVID-19), evaluating their main characteristics, publication trends and methodological quality. METHODS: A bibliometric search was performed in PubMed(®), Scopus and Web of Science, focusing on meta-analyses about COVID-2019 disease. Bibliometric and descriptive data for the included articles were extracted and the methodological quality of the included meta-analyses was evaluated using A Measurement Tool to Assess Systematic Reviews. RESULTS: A total of 348 meta-analyses were considered eligible. The first meta-analysis about COVID-19 disease was published on February 26, 2020, and the number of meta-analyses has grown rapidly since then. Most of them were published in infectious disease and virology journals. The greatest number come from China, followed by the United States, Italy and the United Kingdom. On average, these meta-analyses included 23 studies and 15,200 participants. Overall quality was remarkably low, and only 8.9% of them could be considered as of high confidence level. CONCLUSION: Although well-designed meta-analyses about COVID-19 disease have already been published, the majority are of low quality. Thus, all stakeholders playing a role in COVID-19 deseases, including policy makers, researchers, publishers and journals, should prioritize well-designed meta-analyses, performed only when the background information seem suitable, and discouraging those of low quality or that use suboptimal methods. Instituto Israelita de Ensino e Pesquisa Albert Einstein 2021-03-09 /pmc/articles/PMC7942841/ /pubmed/33729287 http://dx.doi.org/10.31744/einstein_journal/2021AO6002 Text en http://creativecommons.org/licenses/by/4.0/ This content is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Original Article
Pires, Gabriel Natan
Bezerra, Andréia Gomes
de Oliveira, Thainá Baenninger
Chen, Samuel Fen I
Malfatti, Victor Davis Apostolakis
de Mello, Victoria Feiner Ferreira
Niyama, Alyne
Pinto, Vitor Luiz Selva
Andersen, Monica Levy
Tufik, Sergio
COVID-19 meta-analyses: a scoping review and quality assessment
title COVID-19 meta-analyses: a scoping review and quality assessment
title_full COVID-19 meta-analyses: a scoping review and quality assessment
title_fullStr COVID-19 meta-analyses: a scoping review and quality assessment
title_full_unstemmed COVID-19 meta-analyses: a scoping review and quality assessment
title_short COVID-19 meta-analyses: a scoping review and quality assessment
title_sort covid-19 meta-analyses: a scoping review and quality assessment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942841/
https://www.ncbi.nlm.nih.gov/pubmed/33729287
http://dx.doi.org/10.31744/einstein_journal/2021AO6002
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