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      Effectiveness of COVID-19 vaccines against SARS-CoV-2 variants of concern: a systematic review and meta-analysis

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          Abstract

          Background

          It was urgent and necessary to synthesize the evidence for vaccine effectiveness (VE) against SARS-CoV-2 variants of concern (VOC). We conducted a systematic review and meta-analysis to provide a comprehensive overview of the effectiveness profile of COVID-19 vaccines against VOC.

          Methods

          Published randomized controlled trials (RCTs), cohort studies, and case-control studies that evaluated the VE against VOC (Alpha, Beta, Gamma, Delta, or Omicron) were searched until 4 March 2022. Pooled estimates and 95% confidence intervals (CIs) were calculated using random-effects meta-analysis. VE was defined as (1-estimate).

          Results

          Eleven RCTs (161,388 participants), 20 cohort studies (52,782,321 participants), and 26 case-control studies (2,584,732 cases) were included. Eleven COVID-19 vaccines (mRNA-1273, BNT162b2, ChAdOx1, Ad26.COV2.S, NVX-CoV2373, BBV152, CoronaVac, BBIBP-CorV, SCB-2019, CVnCoV, and HB02) were included in this analysis. Full vaccination was effective against Alpha, Beta, Gamma, Delta, and Omicron variants, with VE of 88.0% (95% CI, 83.0–91.5), 73.0% (95% CI, 64.3–79.5), 63.0% (95% CI, 47.9–73.7), 77.8% (95% CI, 72.7–82.0), and 55.9% (95% CI, 40.9–67.0), respectively. Booster vaccination was more effective against Delta and Omicron variants, with VE of 95.5% (95% CI, 94.2–96.5) and 80.8% (95% CI, 58.6–91.1), respectively. mRNA vaccines (mRNA-1273/BNT162b2) seemed to have higher VE against VOC over others; significant interactions ( p interaction < 0.10) were observed between VE and vaccine type (mRNA vaccines vs. not mRNA vaccines).

          Conclusions

          Full vaccination of COVID-19 vaccines is highly effective against Alpha variant, and moderate effective against Beta, Gamma, and Delta variants. Booster vaccination is more effective against Delta and Omicron variants. mRNA vaccines seem to have higher VE against Alpha, Beta, Gamma, and Delta variants over others.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12916-022-02397-y.

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          Measuring inconsistency in meta-analyses.

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            The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

            Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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              RoB 2: a revised tool for assessing risk of bias in randomised trials

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                Author and article information

                Contributors
                wzxkjk@126.com
                sunfeng@bjmu.edu.cn
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                23 May 2022
                23 May 2022
                2022
                : 20
                : 200
                Affiliations
                [1 ]GRID grid.464428.8, ISNI 0000 0004 1758 3169, Department of Science and Education, , Peking University Binhai Hospital, ; Tianjin, China
                [2 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Pharmacology and Pharmacy, , The University of Hong Kong, ; Hong Kong, China
                [3 ]GRID grid.464467.3, Tianjin Centers for Disease Control and Prevention, ; Tianjin, China
                [4 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Department of Epidemiology and Biostatistics, School of Public Health, , Peking University Health Science Centre, ; Beijing, China
                Author information
                http://orcid.org/0000-0001-5089-0281
                Article
                2397
                10.1186/s12916-022-02397-y
                9126103
                35606843
                50422355-7d58-4291-90f6-9ab40b51ff17
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 September 2021
                : 9 May 2022
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2021YFC2301601
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Medicine
                sars-cov-2,covid-19,variants of concern,systematic review,vaccine effectiveness
                Medicine
                sars-cov-2, covid-19, variants of concern, systematic review, vaccine effectiveness

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