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Devices and Clinical Trials
Author(s) -
Joseph P. Broderick
Publication year - 2013
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.111.000171
Subject(s) - medicine , clinical trial , intensive care medicine , stroke (engine) , medical physics , mechanical engineering , engineering
In an ideal world, our decision to enroll patients in clinical trials would be based on thoughtful, rational, informed, and balanced considerations of available and relevant scientific and clinical data. In reality, our decision making is based more often on our recent clinical experience and the opinions of those clinicians we value. To increase the appropriate and thoughtful enrollment of patients into clinical trials, it is helpful to examine how we make these decisions and the limitations of equipoise as a decision-making tool.Physicians particularly struggle with enrollment of patients in clinical trials when a given treatment, like endovascular therapy, is already available as part of the standard of care in a region. Ideally, physicians want to offer their patients the best available medical care as opposed to treatment in a randomized trial that is selected by chance. The ethical solution to this conundrum that has gained greatest acceptance among clinicians is the concept of equipoise. According to Freedman’s classical formulation, clinical equipoise exists when there is no consensus within the expert clinical community about the comparative merits of the alternatives to be tested.1 Yet, Miller and Joffe2 note 5 considerations that argue against equipoise as the arbiter of the ethical legitimacy of randomized trials to evaluate new treatments, even for life-threatening or highly debilitating conditions (like stroke): the imprecision in defining the concept of equipoise, the reliance on expert opinion, the limitations of determining efficacy on the basis of surrogate outcomes, the high costs of new treatments, and the tendency toward premature termination of randomized clinical trials.The expert clinical community is a highly variable group and it is unclear what the minimal proportion of this hypothetical community should be to consider that the conditions for equipoise are met (eg, 50%, 25%, 10%, or 5%). It is …

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