Prognostication for Patients Receiving Palliative Radiation Therapy

IF 2.6 3区 医学 Q3 ONCOLOGY Seminars in Radiation Oncology Pub Date : 2023-04-01 DOI:10.1016/j.semradonc.2023.01.003
Susan Sun , Monica Krishnan , Sara Alcorn
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引用次数: 1

Abstract

Estimation of patient prognosis plays a central role in guiding decision making for the palliative management of metastatic disease, and a number of statistical models have been developed to provide survival estimates for patients in this context. In this review, we discuss several well-validated survival prediction models for patients receiving palliative radiotherapy to sites outside of the brain. Key considerations include the type of statistical model, model performance measures and validation procedures, studies’ source populations, time points used for prognostication, and details of model output. We then briefly discuss underutilization of these models, the role of decision support aids, and the need to incorporate patient preference in shared decision making for patients with metastatic disease who are candidates for palliative radiotherapy

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姑息性放射治疗患者的预后
患者预后的估计在指导转移性疾病姑息治疗的决策中起着核心作用,在这种情况下,已经开发了许多统计模型来为患者提供生存估计。在这篇综述中,我们讨论了几个经过充分验证的存活预测模型,这些模型适用于接受脑外姑息放疗的患者。主要考虑因素包括统计模型的类型、模型性能度量和验证程序、研究的源人群、用于预测的时间点以及模型输出的细节。然后,我们简要讨论了这些模型的利用不足、决策支持辅助工具的作用,以及在转移性疾病患者的共同决策中纳入患者偏好的必要性,这些患者是姑息性放疗的候选者
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
48
审稿时长
>12 weeks
期刊介绍: Each issue of Seminars in Radiation Oncology is compiled by a guest editor to address a specific topic in the specialty, presenting definitive information on areas of rapid change and development. A significant number of articles report new scientific information. Topics covered include tumor biology, diagnosis, medical and surgical management of the patient, and new technologies.
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