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1.2 Review selection and data extraction  The searches resulted in 337 journal articles. We used Covidence (covidence.org) to initially screen articles based on the title and abstract. To qualify as a systematic review, studies had to summarize evidence across multiple studies and provide information on the search strategy, such as search terms, databases, or inclusion/exclusion criteria. Meta-analyses were classified as quantitative syntheses of results across multiple studies (Onishi studies (Onishi  2014). Based on these definitions, excluded 79 articles were . The remaining 258 full-text articles were obtained via EndNote; and PDFs were gathered from Two screeners independently reviewed  the internet titles  and through inter-library loan. Google Drive was used to store full-text PDF copies abstracts  of articles included in the study, coding instructions (attach), store other documents pertinent each citation and made a decision regarding its appropriateness for inclusion. Next, screeners held a meeting  to revisit  the study, team assignments, article coding assignments, citations in conflict  and abstraction manuals. arrive at a final consensus. Following the screening process, full-text versions of included articles were obtained via EndNote.  1.3 Coding Abstracts 
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