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应用决策分析定义临床Ⅰ期非精原细胞瘤性生殖细胞睾丸癌的最佳治疗方法。

Defining the optimal treatment for clinical stage I nonseminomatous germ cell testicular cancer using decision analysis.

机构信息

Glickman Urological and Kidney Institute, Cleveland Clinic, 9500 Euclid Ave, Desk Q10, Cleveland OH, 44195-0001, USA.

出版信息

J Clin Oncol. 2010 Jan 1;28(1):119-25. doi: 10.1200/JCO.2009.22.0400. Epub 2009 Nov 16.

Abstract

PURPOSE There is equipoise regarding the optimal treatment of clinical stage (CS) I nonseminomatous germ cell testicular cancer (NSGCT). Formal mechanisms that enable patients to consider cancer outcomes, treatment-related morbidity, and personal preferences are needed to facilitate decision making between retroperitoneal lymph node dissection (RPLND), primary chemotherapy, and surveillance. METHODS Decision analysis was performed using a Markov model that incorporated likelihoods of survival, treatment-related morbidity, and utilities for seven undesired post-treatment health states to estimate the quality-adjusted survival (QAS) for each treatment option. Utilities were obtained from 24 hypothetical NSGCT patients using a visual analog (rating) scale and standard gamble. Results Overall, QAS associated with each treatment was high and differences in QAS were small. Surveillance was the preferred intervention for patients with a risk of relapse less than 33% and 37% using the rating scale and standard-gamble method of utility assessment, respectively. Active treatment was favored over surveillance for patients with relapse risk on surveillance greater than 33% and 37% by the rating scale (RPLND preferred) and standard-gamble methods (primary chemotherapy preferred), respectively. Substantial differences in average utilities were seen depending on the method used. By the rating scale, patients substantially devalued life in six of seven undesired health states but they were surprisingly tolerant of treatment-related morbidity using standard gamble. CONCLUSION A decision model has been developed for CS I NSGCT that estimates QAS for RPLND, primary chemotherapy, and surveillance by considering cancer outcomes, morbidity, and patient preferences. Surveillance was the preferred intervention for all except those patients at high risk for relapse.

摘要

目的

对于临床 I 期非精原细胞瘤生殖细胞睾丸癌(NSGCT)的最佳治疗方法仍存在争议。需要建立正式的机制,使患者能够考虑癌症结局、治疗相关的发病率和个人偏好,以促进腹膜后淋巴结清扫术(RPLND)、初始化疗和监测之间的决策。

方法

使用马尔可夫模型进行决策分析,该模型纳入了生存概率、治疗相关发病率和 7 种不良治疗后健康状态的效用,以估计每种治疗选择的质量调整生存(QAS)。效用通过 24 名假设的 NSGCT 患者使用视觉模拟(评分)量表和标准博弈获得。

结果

总体而言,每种治疗方法的 QAS 都很高,且 QAS 的差异较小。对于复发风险低于 33%和 37%的患者,监测是首选的干预措施,分别采用评分量表和标准博弈效用评估方法。对于监测复发风险高于 33%和 37%的患者,采用评分量表(RPLND 更优)和标准博弈方法(初始化疗更优),积极治疗优于监测。根据使用的方法,平均效用存在很大差异。根据评分量表,7 种不良健康状态中的 6 种,患者的生活质量大幅下降,但使用标准博弈,他们对治疗相关的发病率却出人意料地宽容。

结论

已经为 CS I NSGCT 开发了一种决策模型,通过考虑癌症结局、发病率和患者偏好,估计 RPLND、初始化疗和监测的 QAS。除了那些复发风险高的患者外,监测是所有患者的首选干预措施。

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