Department of Oncology and Palliative Medicine, Nordland Hospital, Bodø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Department of Radiation Oncology, Miami Cancer Institute, USA.
Radiother Oncol. 2021 Jun;159:17-20. doi: 10.1016/j.radonc.2021.02.038. Epub 2021 Mar 4.
Survival prediction models may serve as decision-support tools for clinicians who have to assign the right treatment to each patient, in a manner whereby harmful over- or undertreatment is avoided as much as possible. Current models differ regarding their components, the overall number of components and the weighting of individual components. Some of the components are easy to assess, such as age or primary tumor type. Others carry the risk of inter-assessor inconsistency and time-dependent variation. The present publication focuses on issues related to assessment of extracranial metastases and potential surrogates, e.g. blood biomarkers. It identifies areas of controversy and provides recommendations for future research projects, which may contribute to prognostic models with improved accuracy.
生存预测模型可以作为临床医生的决策支持工具,以便为每个患者分配正确的治疗方法,尽可能避免过度或治疗不足的情况。目前的模型在其组成部分、整体组件数量和个体组件权重方面存在差异。一些组成部分很容易评估,例如年龄或原发肿瘤类型。其他组成部分存在评估者间不一致和随时间变化的风险。本出版物侧重于与颅外转移和潜在替代物(例如血液生物标志物)评估相关的问题。它确定了有争议的领域,并为未来的研究项目提供了建议,这可能有助于提高准确性的预后模型。