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      Global prevalence, treatment and outcome of tuberculosis and COVID-19 coinfection: a systematic review and meta-analysis (from November 2019 to March 2021)

      systematic-review

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          Abstract

          Introduction

          The COVID-19 outbreak poses a significant threat to the patients with tuberculosis (TB). TB and COVID-19 (TB–COVID) coinfection means the disease caused by both Mycobacterium tuberculosis and SARS-CoV-2 infection. Currently, the prevalence status, treatment and outcomes of the coinfection are poorly characterised. We aimed to systematically review the evidence on this topic and provide comprehensive information to guide the control and treatment of TB–COVID coinfection.

          Methods

          An extensive screening was conducted using six electronic databases to search eligible studies from 1 November 2019 to 19 March 2021. Prevalence rate, treatment and outcomes of TB–COVID coinfection were extracted. Random-effects models were used to calculate mean fatality rates of coinfection with 95% CIs. The risks of bias were assessed with the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Study Reporting Prevalence Data and JBI Critical Appraisal Checklist for Case Report. A meta-analysis was conducted for subgroups on in-hospital fatality rate.

          Results

          Forty-two studies were included into the analysis (35 case reports and 7 retrospective cohort studies). Nineteen countries reported coinfected patients, including high and low TB prevalence countries. The only study revealing prevalence rate came from West Cape Province, South Africa (people aged above 20 years, 0.04% until 1 June 2020 and 0.06% until 9 June 2020). The treatment regimens for coinfected patients were highly heterogeneous. The mean overall and in-hospital fatality rates of coinfection were 13.9% (95% CI: 1.6% to 26.2%) and 17.5% (95% CI: 8.9% to 26.0%). The mean in-hospital fatality rates for high-income countries (Italy and Argentina) and low/middle-income countries (LMICs) (India, Philippines, South Africa) were 6.5% (95% CI: −0.8% to ~13.9%) and 22.5% (95% CI: 19.0% to ~26.0%).

          Conclusion

          TB–COVID coinfection is common globally, and the coinfected patients suffer from higher fatality risk than patients with normal COVID-19. Outcomes shared significant differences between high-income countries and LMICs.

          PROSPERO registration number

          CRD42021253660.

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          Most cited references64

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

          David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses
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            Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

            It is urgent to understand the future of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) transmission. We used estimates of seasonality, immunity, and cross-immunity for betacoronaviruses OC43 and HKU1 from time series data from the USA to inform a model of SARS-CoV-2 transmission. We projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave. Absent other interventions, a key metric for the success of social distancing is whether critical care capacities are exceeded. To avoid this, prolonged or intermittent social distancing may be necessary into 2022. Additional interventions, including expanded critical care capacity and an effective therapeutic, would improve the success of intermittent distancing and hasten the acquisition of herd immunity. Longitudinal serological studies are urgently needed to determine the extent and duration of immunity to SARS-CoV-2. Even in the event of apparent elimination, SARS-CoV-2 surveillance should be maintained since a resurgence in contagion could be possible as late as 2024.
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              Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data.

              There currently does not exist guidance for authors aiming to undertake systematic reviews of observational epidemiological studies, such as those reporting prevalence and incidence information. These reviews are particularly useful to measure global disease burden and changes in disease over time. The aim of this article is to provide guidance for conducting these types of reviews.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2022
                20 June 2022
                20 June 2022
                : 12
                : 6
                : e059396
                Affiliations
                [1 ]departmentCenter for Health Management and Policy Researc , Shandong University School of Public Health , Jinan, Shandong, China
                [2 ]departmentInstitute of Health Policy, Management, and Evaluation (IHPME) , University of Toronto Dalla Lana School of Public Health , Toronto, Ontario, Canada
                [3 ]departmentDepartment of Pulmonary and Critical Care Medicine , Weihai Municipal Hospital , Weihai, Shandong, China
                [4 ]Shandong University Cheeloo College of Medicine , Jinan, Shandong, China
                [5 ]Shandong University Library , Jinan, Shandong, China
                Author notes
                [Correspondence to ] Professor Qiang Sun; qiangs@ 123456sdu.edu.cn
                Author information
                http://orcid.org/0000-0003-3501-9513
                http://orcid.org/0000-0002-3076-2650
                http://orcid.org/0000-0003-3056-2322
                Article
                bmjopen-2021-059396
                10.1136/bmjopen-2021-059396
                9213780
                35725250
                e222ccd1-a02c-4138-9da6-d77f84bc8a1c
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 18 November 2021
                : 03 June 2022
                Categories
                Global Health
                1506
                2474
                1699
                Original research
                Custom metadata
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                Medicine
                covid-19,tuberculosis,public health
                Medicine
                covid-19, tuberculosis, public health

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