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      Laparoscopic versus open gastrectomy for gastric cancer: A systematic review and meta-analysis of randomized controlled trials

      , , , ,
      International Journal of Surgery
      Elsevier BV

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          Measuring inconsistency in meta-analyses.

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            Bias in meta-analysis detected by a simple, graphical test

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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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                Author and article information

                Journal
                International Journal of Surgery
                International Journal of Surgery
                Elsevier BV
                17439191
                June 2022
                June 2022
                : 102
                : 106678
                Article
                10.1016/j.ijsu.2022.106678
                35589049
                e11aeffb-0f69-442b-980a-069cd2cd1989
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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