Journal of clinical epidemiology
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The Cochrane Central Register of Controlled Trials (CENTRAL) is compiled from a number of sources, including PubMed and Embase. Since 2017, we have increased the number of sources feeding into CENTRAL and improved the efficiency of our processes through the use of application programming interfaces, machine learning, and crowdsourcing.Our objectives were twofold: (1) Assess the effectiveness of Cochrane's centralized search and screening processes to correctly identify references to published reports which are eligible for inclusion in Cochrane systematic reviews of randomized controlled trials (RCTs). (2) Identify opportunities to improve the performance of Cochrane's centralized search and screening processes to identify references to eligible trials. ⋯ This analysis has shown that Cochrane's centralized search and screening processes are highly sensitive. It has also helped us to understand better why some references to eligible RCTs have been missed. The CSS is playing a critical role in helping to populate CENTRAL and is moving us toward making CENTRAL a comprehensive repository of RCTs.
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Root cause analyses of serious adverse events (SAE) in out-of-hours primary care (OHS-PC) often point to errors in telephone triage. Such analyses are, however, hampered by hindsight bias. We assessed whether experts, blinded to the outcome, recognize (un)safety of triage of patients with chest discomfort, and we quantified inter-rater reliability. ⋯ Blinded experts rated calls of missed ACSs more often as unsafe than matched control calls, but with a low level of agreement among the experts.
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The public, policy makers, and science communities are subject to many false, uninformed, overly optimistic, premature, or simply ridiculous health claims. The coronavirus disease 2019 (COVID-19) pandemic and its context is a paramount example for such claims. In this article, we describe why expressing the certainty in evidence to support a decision is critical and why the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach matters now, perhaps more than ever and no matter what the specific topic is in relation to COVID-19. We finally also offer suggestions for how it can be used appropriately to support decision-making at global, national, and local level when emergency, urgent or rapid responses are needed. ⋯ Assessing and communicating the certainty of evidence during the COVID-19 pandemic is critical. Those offering evidence synthesis or making recommendations should use transparent ratings of the body of evidence supporting a claim regardless of time that is available or needed to provide this response.