Cargando…

Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping

OBJECTIVES: To assess the reporting and methodological quality of COVID-19 systematic reviews, and to analyze trends and gaps in the quality, clinical topics, author countries, and populations of the reviews using an evidence mapping approach. STUDY DESIGN AND SETTING: A structured search for system...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yanfei, Cao, Liujiao, Zhang, Ziyao, Hou, Liangying, Qin, Yu, Hui, Xu, Li, Jing, Zhao, Haitong, Cui, Gecheng, Cui, Xudong, Li, Rui, Lin, Qingling, Li, Xiuxia, Yang, Kehu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313077/
https://www.ncbi.nlm.nih.gov/pubmed/33657455
http://dx.doi.org/10.1016/j.jclinepi.2021.02.021
_version_ 1783729259408261120
author Li, Yanfei
Cao, Liujiao
Zhang, Ziyao
Hou, Liangying
Qin, Yu
Hui, Xu
Li, Jing
Zhao, Haitong
Cui, Gecheng
Cui, Xudong
Li, Rui
Lin, Qingling
Li, Xiuxia
Yang, Kehu
author_facet Li, Yanfei
Cao, Liujiao
Zhang, Ziyao
Hou, Liangying
Qin, Yu
Hui, Xu
Li, Jing
Zhao, Haitong
Cui, Gecheng
Cui, Xudong
Li, Rui
Lin, Qingling
Li, Xiuxia
Yang, Kehu
author_sort Li, Yanfei
collection PubMed
description OBJECTIVES: To assess the reporting and methodological quality of COVID-19 systematic reviews, and to analyze trends and gaps in the quality, clinical topics, author countries, and populations of the reviews using an evidence mapping approach. STUDY DESIGN AND SETTING: A structured search for systematic reviews concerning COVID-19 was performed using PubMed, Embase, Cochrane Library, Campbell Library, Web of Science, CBM, WanFang Data, CNKI, and CQVIP from inception until June 2020. The quality of each review was assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) checklist and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. RESULTS: In total, 243 systematic reviews met the inclusion criteria, over 50% of which (128, 52.7%) were from 14 developing countries, with China contributing the most reviews (76, 31.3%). In terms of methodological quality of the studies, 30 (12.3%) were of moderate quality, 63 (25.9%) were of low quality, and 150 (61.7%) were of critically low quality. In terms of reporting quality, the median (interquartile range) PRISMA score was 14 (10–18). Regarding the topics of the reviews, 24 (9.9%) focused on the prevalence of COVID-19, 69 (28.4%) focused on the clinical manifestations, 30 (12.3%) focused on etiology, 43 (17.7%) focused on diagnosis, 65 (26.7%) focused on treatment, 104 (42.8%) focused on prognosis, and 25 (10.3%) focused on prevention. These studies mainly focused on general patients with COVID-19 (161, 66.3%), followed by children (22, 9.1%) and pregnant patients (18, 7.4%). CONCLUSION: This study systematically evaluated the methodological and reporting quality of systematic reviews of COVID-19, summarizing and analyzing trends in their clinical topics, author countries, and study populations.
format Online
Article
Text
id pubmed-8313077
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-83130772021-07-26 Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping Li, Yanfei Cao, Liujiao Zhang, Ziyao Hou, Liangying Qin, Yu Hui, Xu Li, Jing Zhao, Haitong Cui, Gecheng Cui, Xudong Li, Rui Lin, Qingling Li, Xiuxia Yang, Kehu J Clin Epidemiol Covid Series OBJECTIVES: To assess the reporting and methodological quality of COVID-19 systematic reviews, and to analyze trends and gaps in the quality, clinical topics, author countries, and populations of the reviews using an evidence mapping approach. STUDY DESIGN AND SETTING: A structured search for systematic reviews concerning COVID-19 was performed using PubMed, Embase, Cochrane Library, Campbell Library, Web of Science, CBM, WanFang Data, CNKI, and CQVIP from inception until June 2020. The quality of each review was assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) checklist and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. RESULTS: In total, 243 systematic reviews met the inclusion criteria, over 50% of which (128, 52.7%) were from 14 developing countries, with China contributing the most reviews (76, 31.3%). In terms of methodological quality of the studies, 30 (12.3%) were of moderate quality, 63 (25.9%) were of low quality, and 150 (61.7%) were of critically low quality. In terms of reporting quality, the median (interquartile range) PRISMA score was 14 (10–18). Regarding the topics of the reviews, 24 (9.9%) focused on the prevalence of COVID-19, 69 (28.4%) focused on the clinical manifestations, 30 (12.3%) focused on etiology, 43 (17.7%) focused on diagnosis, 65 (26.7%) focused on treatment, 104 (42.8%) focused on prognosis, and 25 (10.3%) focused on prevention. These studies mainly focused on general patients with COVID-19 (161, 66.3%), followed by children (22, 9.1%) and pregnant patients (18, 7.4%). CONCLUSION: This study systematically evaluated the methodological and reporting quality of systematic reviews of COVID-19, summarizing and analyzing trends in their clinical topics, author countries, and study populations. Elsevier Inc. 2021-07 2021-02-28 /pmc/articles/PMC8313077/ /pubmed/33657455 http://dx.doi.org/10.1016/j.jclinepi.2021.02.021 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Covid Series
Li, Yanfei
Cao, Liujiao
Zhang, Ziyao
Hou, Liangying
Qin, Yu
Hui, Xu
Li, Jing
Zhao, Haitong
Cui, Gecheng
Cui, Xudong
Li, Rui
Lin, Qingling
Li, Xiuxia
Yang, Kehu
Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title_full Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title_fullStr Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title_full_unstemmed Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title_short Reporting and methodological quality of COVID-19 systematic reviews needs to be improved: an evidence mapping
title_sort reporting and methodological quality of covid-19 systematic reviews needs to be improved: an evidence mapping
topic Covid Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313077/
https://www.ncbi.nlm.nih.gov/pubmed/33657455
http://dx.doi.org/10.1016/j.jclinepi.2021.02.021
work_keys_str_mv AT liyanfei reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT caoliujiao reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT zhangziyao reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT houliangying reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT qinyu reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT huixu reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT lijing reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT zhaohaitong reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT cuigecheng reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT cuixudong reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT lirui reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT linqingling reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT lixiuxia reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping
AT yangkehu reportingandmethodologicalqualityofcovid19systematicreviewsneedstobeimprovedanevidencemapping