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

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          Abstract

          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.

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          Most cited references33

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          Is Open Access

          AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

          The number of published systematic reviews of studies of healthcare interventions has increased rapidly and these are used extensively for clinical and policy decisions. Systematic reviews are subject to a range of biases and increasingly include non-randomised studies of interventions. It is important that users can distinguish high quality reviews. Many instruments have been designed to evaluate different aspects of reviews, but there are few comprehensive critical appraisal instruments. AMSTAR was developed to evaluate systematic reviews of randomised trials. In this paper, we report on the updating of AMSTAR and its adaptation to enable more detailed assessment of systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. With moves to base more decisions on real world observational evidence we believe that AMSTAR 2 will assist decision makers in the identification of high quality systematic reviews, including those based on non-randomised studies of healthcare interventions.
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            Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review

            The coronavirus disease 2019 (COVID-19) pandemic, due to the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a worldwide sudden and substantial increase in hospitalizations for pneumonia with multiorgan disease. This review discusses current evidence regarding the pathophysiology, transmission, diagnosis, and management of COVID-19.
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              • Article: not found

              Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

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                Author and article information

                Journal
                J Clin Epidemiol
                J Clin Epidemiol
                Journal of Clinical Epidemiology
                Elsevier Inc.
                0895-4356
                1878-5921
                28 February 2021
                July 2021
                28 February 2021
                : 135
                : 17-28
                Affiliations
                [a ]Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
                [b ]Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
                [c ]WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
                [d ]School of Foreign Language, Lanzhou University of Arts and Science, Lanzhou University, Lanzhou, China
                [e ]Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
                [f ]Institute of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou, China
                [g ]Department of Intensive Care Unit, The First Hospital of Lanzhou University, Lanzhou University, Lanzhou, China
                Author notes
                [* ]Corresponding authors at: Evidence-Based Medicine Center, Lanzhou University, 199 Donggang West Road, Lanzhou, China. Tel.: +86-13893117077; fax: +86-0931-8915076.
                [1]

                Co-first authors: Yanfei Li and Liujiao Cao.

                Article
                S0895-4356(21)00064-0
                10.1016/j.jclinepi.2021.02.021
                8313077
                33657455
                9fb314ec-e932-437b-ac6c-cd67d9431dec
                © 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.

                History
                : 24 February 2021
                Categories
                Covid Series

                Public health
                covid-19,systematic review,reporting quality,methodological quality,evidence mapping,gap map

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