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This review discusses methodological issues, design pitfalls, and strategies to strengthen causal inference and improve the feasibility of randomized clinical trials in surgery.
This article provides a methodological overview of designing, executing, and analyzing randomized clinical trials in surgery.
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Alerts surgeons to RCT design pitfalls; leaves open validation of strategies to strengthen causal inference.
When it is well conducted, a randomized clinical trial provides the strongest evidence available for evaluating the comparative effectiveness of the interventions tested. Over the last two generations, we have learned much about various devices for strengthening them and about methods of avoiding pitfalls in their design, execution, analysis, and reporting. In a trial, we seek evidence for a causal link between treatments and observed outcomes. Because the controlled trial depends on an argument based on exclusion (i.e., no other causes or differences affected the experimental groups), we strengthen its inference by taking steps to exclude any such differences. This article discusses a number of issues that deserve consideration: problems and generalizability, devices for strengthening trials, issues of power and sample size, the relationship between study design and reported gains, when to undertake a trial, the role of collaborative trials, and ways to make trials more feasible in clinical settings.
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McPeek et al. (1989) conducted a review in Surgery. This review discusses methodological issues, design pitfalls, and strategies to strengthen causal inference and improve the feasibility of randomized clinical trials in surgery.
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