From the Department of Medicine, Solna Eugeniahemmet, T2, Karolinska Universitetssjukhuset, Stockholm, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Epidemiology. 2020 May;31(3):359-364. doi: 10.1097/EDE.0000000000001173.
The predictions from an accurate prognostic model can be of great interest to patients and clinicians. When predictions are reported to individuals, they may decide to take action to improve their health or they may simply be comforted by the knowledge. However, if there is a clearly defined space of actions in the clinical context, a formal decision rule based on the prediction has the potential to have a much broader impact. The use of a prediction-based decision rule should be formalized and preferably compared with the standard of care in a randomized trial to assess its clinical utility; however, evidence is needed to motivate such a trial. We outline how observational data can be used to propose a decision rule based on a prognostic prediction model. We then propose a framework for emulating a prediction driven trial to evaluate the clinical utility of a prediction-based decision rule in observational data. A split-sample structure is often feasible and useful to develop the prognostic model, define the decision rule, and evaluate its clinical utility. See video abstract at, http://links.lww.com/EDE/B656.
准确的预后模型预测结果可能会引起患者和临床医生的极大兴趣。当预测结果告知个人时,他们可能会决定采取行动来改善自己的健康状况,或者仅仅是因为了解到相关信息而感到安慰。然而,如果在临床环境中有明确界定的行动空间,那么基于预测结果制定的正式决策规则就有可能产生更广泛的影响。使用基于预测的决策规则应该被规范化,并最好在随机试验中与标准护理进行比较,以评估其临床实用性;但是,需要有证据来支持这样的试验。我们概述了如何使用观察性数据来提出基于预后预测模型的决策规则。然后,我们提出了一个框架,用于模拟预测驱动的试验,以评估基于预测的决策规则在观察性数据中的临床实用性。在开发预后模型、定义决策规则和评估其临床实用性方面,采用分割样本结构通常是可行且有用的。有关详细信息,请观看,http://links.lww.com/EDE/B656 上的视频摘要。