Rodrigues George, Bauman Glenn, Palma David, Louie Alexander V, Mocanu Joseph, Senan Suresh, Lagerwaard Frank
Department of Radiation Oncology, London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada; Department of Epidemiology and Biostatistics, University of Western Ontario, London, Ontario, Canada.
Department of Radiation Oncology, London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada.
Pract Radiat Oncol. 2013 Apr-Jun;3(2):101-6. doi: 10.1016/j.prro.2012.04.001. Epub 2012 Apr 27.
A variety of prognostic indices for patients with brain metastases have been published in the literature, to guide clinical decision-making and clinical trial stratification. The purpose of this investigation is to perform a systematic review of all primary and validation reports of such prognostic systems. An assessment of index operating characteristics and misclassification rates was performed to assist in highlighting the advantages and disadvantages of competing systems.
A systematic review of the English language literature regarding primary and validation brain metastases prognostic indices was performed according to PRISMA guidelines. Clinical, treatment, statistical, and prognostic index classification details were abstracted and organized into tables. Receiver operator characteristic curves were created from available Kaplan-Meier curves using a novel digitization procedure. From these curves, various operating characteristics such as positive predictive value (PPV), negative predictive value (NPV), accuracy (ACC), likelihood ratio (LR), and area under the curve (AUC) were calculated. Additionally, the major misclassification rate (MMR), defined as good or poor risk patients misclassified into the opposite group, was calculated for all available receiver operator characteristic curves.
A total of 9 prognostic systems have been published in the medical literature. In terms of the poor prognostic group, observed ranges are as follow: for PPV (0.25-0.72), NPV (0.72-0.97), ACC (0.57-0.95), LR (1.54-16.4), AUC (0.64-0.90), and MMR (0.02-0.39). Similarly, ranges of PPV (0.52-0.96), NPV (0.31-0.77), ACC (0.41-0.74), LR (1.69-20), AUC (0.64-0.89), and MMR (0.00-0.19) were observed for the good prognostic group.
Operating characteristic and major misclassification analyses of all available prognostic index information demonstrated a range of results. As the ideal prognostic index has not yet been defined, further research into alternative approaches is warranted. Information contained within this report can serve as a benchmark for future investigations of existing and proposed prognostic indices.
文献中已发表了多种针对脑转移瘤患者的预后指数,以指导临床决策和临床试验分层。本研究的目的是对这类预后系统的所有原始报告和验证报告进行系统综述。对指数的操作特征和错误分类率进行评估,以突出竞争系统的优缺点。
根据PRISMA指南,对关于脑转移瘤预后指数的英文文献进行系统综述。提取临床、治疗、统计和预后指数分类的详细信息并整理成表格。使用一种新颖的数字化程序,从可用的Kaplan-Meier曲线创建受试者工作特征曲线。根据这些曲线,计算各种操作特征,如阳性预测值(PPV)、阴性预测值(NPV)、准确性(ACC)、似然比(LR)和曲线下面积(AUC)。此外,针对所有可用的受试者工作特征曲线,计算主要错误分类率(MMR),即被错误分类到相反组的高风险或低风险患者的比例。
医学文献中共发表了9种预后系统。就预后不良组而言,观察到的范围如下:PPV(0.25 - 0.72)、NPV(0.72 - 0.97)、ACC(0.57 - 0.95)、LR(1.54 - 16.4)、AUC(0.64 - 0.90)和MMR(0.02 - 0.39)。同样,预后良好组的PPV(0.52 - 0.96)、NPV(0.31 -