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不同预处理风险分层工具预测前列腺癌死亡:全国队列研究中的头对头比较。

Predicting Prostate Cancer Death with Different Pretreatment Risk Stratification Tools: A Head-to-head Comparison in a Nationwide Cohort Study.

机构信息

Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Division of Cancer Studies, Translational Oncology & Urology Research (TOUR), King's College London, London, UK; Akademiska Sjukhuset, Regional Cancer Centre, Uppsala, Sweden.

出版信息

Eur Urol. 2020 Feb;77(2):180-188. doi: 10.1016/j.eururo.2019.09.027. Epub 2019 Oct 9.

Abstract

BACKGROUND

Numerous pretreatment risk classification tools are available for prostate cancer. Which tool is best in predicting prostate cancer death is unclear.

OBJECTIVE

To systematically compare the prognostic performance of the most commonly used pretreatment risk stratification tools for prostate cancer.

DESIGN, SETTING, AND PARTICIPANTS: A nationwide cohort study was conducted, including 154 811 men in Prostate Cancer data Base Sweden (PCBaSe) 4.0 diagnosed with nonmetastatic prostate cancer during 1998-2016 and followed through 2016.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We compared the D'Amico, National Institute for Health and Care Excellence (NICE), European Association of Urology (EAU), Genito-Urinary Radiation Oncologists of Canada (GUROC), American Urological Association (AUA), National Comprehensive Cancer Network (NCCN), and Cambridge Prognostic Groups (CPG) risk group systems; the Cancer of the Prostate Risk Assessment (CAPRA) score; and the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram in predicting prostate cancer death by estimating the concordance index (C-index) and the observed versus predicted cumulative incidences at different follow-up times.

RESULTS AND LIMITATIONS

A total of 139 515 men were included in the main analysis, of whom 15 961 died from prostate cancer during follow-up. The C-index at 10 yr of follow-up ranged from 0.73 (95% confidence interval [CI]: 0.72-0.73) to 0.81 (95% CI: 0.80-0.81) across the compared tools. The MSKCC nomogram (C-index: 0.81, 95% CI: 0.80-0.81), CAPRA score (C-index: 0.80, 95% CI: 0.79-0.81), and CPG system (C-index: 0.78, 95% CI: 0.78-0.79) performed the best. The order of performance between the tools remained in analyses stratified by primary treatment and year of diagnosis. The predicted cumulative incidences were close to the observed ones, with some underestimation at 5 yr. It is a limitation that the study was conducted solely in a Swedish setting (ie, case mix).

CONCLUSIONS

The MSKCC nomogram, CAPRA score, and CPG risk grouping system performed better in discriminating prostate cancer death than the D'Amico and D'Amico-derived systems (NICE, GUROC, EAU, AUA, and NCCN). Use of these tools may improve clinical decision making.

PATIENT SUMMARY

There are numerous pretreatment risk classification tools that can aid treatment decision for prostate cancer. We systematically compared the prognostic performance of the most commonly used tools in a large cohort of Swedish men with prostate cancer. The Memorial Sloan Kettering Cancer Center nomogram, Cancer of the Prostate Risk Assessment score, and Cambridge Prognostic Groups performed best in predicting prostate cancer death. The use of these tools may improve treatment decisions.

摘要

背景

有许多前列腺癌的术前风险分类工具。哪种工具在预测前列腺癌死亡方面最好尚不清楚。

目的

系统比较最常用于前列腺癌的术前风险分层工具的预后性能。

设计、地点和参与者:进行了一项全国性队列研究,纳入了 1998-2016 年间在瑞典前列腺癌数据库 4.0 中诊断为非转移性前列腺癌的 154811 名男性,并随访至 2016 年。

结局测量和统计分析

我们比较了 D'Amico、英国国家卫生与保健优化研究所(NICE)、欧洲泌尿外科学会(EAU)、加拿大泌尿生殖放射肿瘤学家协会(GUROC)、美国泌尿外科学会(AUA)、美国国家综合癌症网络(NCCN)和剑桥预后分组(CPG)风险组系统;前列腺癌风险评估(CAPRA)评分;以及纪念斯隆凯特琳癌症中心(MSKCC)列线图,通过估计一致性指数(C 指数)和不同随访时间的观察与预测累积发生率来预测前列腺癌死亡。

结果和局限性

共纳入 139515 名男性进行主要分析,其中 15961 人在随访期间死于前列腺癌。在 10 年的随访中,与比较工具相关的 C 指数范围为 0.73(95%置信区间[CI]:0.72-0.73)至 0.81(95%CI:0.80-0.81)。MSKCC 列线图(C 指数:0.81,95%CI:0.80-0.81)、CAPRA 评分(C 指数:0.80,95%CI:0.79-0.81)和 CPG 系统(C 指数:0.78,95%CI:0.78-0.79)表现最好。在按主要治疗和诊断年份分层的分析中,工具的性能排序保持不变。预测的累积发生率接近观察到的发生率,在 5 年时略有低估。研究仅在瑞典进行(即病例组合)是一个局限性。

结论

MSKCC 列线图、CAPRA 评分和 CPG 风险分组系统在区分前列腺癌死亡方面优于 D'Amico 和 D'Amico 衍生系统(NICE、GUROC、EAU、AUA 和 NCCN)。这些工具的使用可能会改善临床决策。

患者总结

有许多术前风险分类工具可用于辅助前列腺癌的治疗决策。我们系统地比较了瑞典一大群前列腺癌男性中最常用工具的预后性能。纪念斯隆凯特琳癌症中心列线图、前列腺癌风险评估评分和剑桥预后分组在预测前列腺癌死亡方面表现最好。这些工具的使用可能会改善治疗决策。

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