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      Risk factors for postpartum depression: An evidence-based systematic review of systematic reviews and meta-analyses

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      Asian Journal of Psychiatry
      Elsevier BV

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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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            GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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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
                Asian Journal of Psychiatry
                Asian Journal of Psychiatry
                Elsevier BV
                18762018
                October 2020
                October 2020
                : 53
                : 102353
                Article
                10.1016/j.ajp.2020.102353
                32927309
                e84b7ace-b080-4ba7-9f9b-bd675ded1839
                © 2020

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

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