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Web-based decision support for clinical trial eligibility determination in an international clinical trials network.

机译:基于网络的决策支持,用于在国际临床试验网络中确定临床试验的资格。

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Matching individuals to multisite cooperative clinical trials can be a complex and nonintuitive decision process that expends considerable time and may be prone to errors. We developed and tested a web-based decision support tool to aid investigators in matching patients to open clinical trials for children with rhabdomyosarcoma in the context of an international cooperative cancer clinical trials network. A decision tree for trial eligibility based on eight clinical variables representing major disease characteristics was translated into a web-based format. In a blinded fashion, we assessed the accuracy of the tool in assigning 100 randomly selected cases to the proper clinical trial. The web-based tool assigned patients to the proper clinical trial in all 100 randomly selected cases. The time needed to enter data and receive results using this tool is about 1 minute per patient entered. It is feasible to develop a web-based tool to help investigators in matching patients to clinical trials. When suchdecisions are complex and nonintuitive, such tools have the potential to improve the accuracy of clinical trial assignment and save time.
机译:将个体匹配到多站点合作临床试验可能是一个复杂且不直观的决策过程,该过程会花费大量时间,并且容易出错。我们开发并测试了基于Web的决策支持工具,以帮助研究人员在国际合作癌症临床试验网络的背景下,为患者配对横纹肌肉瘤儿童进行临床试验。基于代表主要疾病特征的八个临床变量的试验资格决策树已转换为基于网络的格式。我们以盲目方式评估了该工具在将100个随机选择的病例分配给适当的临床试验中的准确性。基于网络的工具在所有100个随机选择的病例中为患者分配了正确的临床试验。每个输入的患者使用此工具输入数据和接收结果所需的时间约为1分钟。开发基于Web的工具以帮助研究人员将患者与临床试验相匹配是可行的。当这样的决定复杂而不直观时,这些工具就有可能提高临床试验分配的准确性并节省时间。

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