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      Statin use and clinical outcomes in patients with COVID-19: An updated systematic review and meta-analysis

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          Abstract

          Purpose

          Observations studies have shown that prior use of statins is associated with a reduced risk of adverse clinical outcomes in patients with COVID-19. However, the available data are limited, inconsistent and conflicting. Besides, no randomised controlled trial exists in this regard. Hence, the present meta-analysis was conducted to provide an updated summary and collate the effect of statin use on clinical outcomes in COVID-19 using unadjusted and adjusted risk estimates.

          Methods

          PubMed, Scopus and Web of Science databases were systematically searched using appropriate keywords till December 18 2020, to identify observational studies reporting clinical outcomes in COVID-19 patients using statins versus those not using statins. Prior and in-hospital use of statins were considered. Study quality was assessed using the Newcastle-Ottawa Scale. Unadjusted and adjusted pooled odds ratio (OR) with 95% CIs were calculated.

          Results

          We included 14 observational studies pooling data retrieved from 19 988 patients with COVID-19. All the studies were of high/moderate quality. Pooled analysis of unadjusted data showed that statin use was not associated with improved clinical outcomes (OR 1.02; 95% CI 0.69 to 1.50, p=0.94, I 2=94%, random-effects model). However, on pooling adjusted risk estimates, the use of statin was found to significantly reduce the risk of adverse outcomes (OR 0.51; 95% CI 0.41 to 0.63, p<0.0005, I 2=0%, fixed-effects model).

          Conclusions

          Statin use is associated with improved clinical outcomes in patients with COVID-19. Individuals with multiple comorbidities on statin therapy should be encouraged to continue the drug amid the ongoing pandemic.

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          Most cited references33

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          Measuring inconsistency in meta-analyses.

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            The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

            Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and transparency of these reports, however, are not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (quality of reporting of meta-analysis) statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realising these issues, an international group that included experienced authors and methodologists developed PRISMA (preferred reporting items for systematic reviews and meta-analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this explanation and elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA statement, this document, and the associated website (www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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              Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy

              Many patients with coronavirus disease 2019 (COVID-19) are critically ill and require care in the intensive care unit (ICU).
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                Author and article information

                Journal
                Postgrad Med J
                Postgrad Med J
                postgradmedj
                pmj
                Postgraduate Medical Journal
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0032-5473
                1469-0756
                February 2021
                4 February 2021
                : postgradmedj-2020-139172
                Affiliations
                [1 ]departmentEndocrinology , Post Graduate Institute of Medical Education and Research , Chandigarh, Chandigarh, India
                [2 ]departmentInternal Medicine , Institute of Postgraduate Medical Education and Research , Kolkata, West Bengal, India
                [3 ]departmentNational Institute of Nursing Education , Post Graduate Institute of Medical Education and Research , Chandigarh, Chandigarh, India
                [4 ]departmentDepartment of Hematology, Institute of Hematology and Transfusion Medicine , Medical College and Hospital Kolkata , Kolkata, West Bengal, India
                Author notes
                [Correspondence to ] Dr Rimesh Pal, PGIMER, Chandigarh, Chandigarh, India; rimesh.ben@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-4859-9393
                http://orcid.org/0000-0002-6656-8569
                Article
                postgradmedj-2020-139172
                10.1136/postgradmedj-2020-139172
                7868124
                33541927
                1e998b2e-5f2e-4aae-aaf9-1e1a9025696a
                © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

                This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained.

                History
                : 06 October 2020
                : 10 January 2021
                : 15 January 2021
                Categories
                Original Research
                2474
                Custom metadata
                free

                Medicine
                lipid disorders,infectious diseases
                Medicine
                lipid disorders, infectious diseases

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