Liu Jianyu, Womble Paul R, Merdan Selin, Miller David C, Montie James E, Denton Brian T
Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.
Department of Urology, University of Michigan, Ann Arbor, MI.
Urology. 2015 Nov;86(5):901-5. doi: 10.1016/j.urology.2015.08.024. Epub 2015 Sep 7.
To determine how well demographic and clinical factors predict the initiation of Active Surveillance (AS).
AS has been suggested as a way to reduce overtreatment of men who have prostate cancer; however, factors associated with the decision to choose AS are poorly quantified. Using the Michigan Urological Surgery Improvement Collaborative registry, we identified 2977 men with prostate cancer who made treatment decisions from January 1, 2012, through December 31, 2013. We used chi-square and Wilcoxon tests to examine the association between factors and initiation of AS. Logistic regression models were fit for D'Amico risk categories. Measures of model discrimination and calibration were estimated, including area under the curve (AUC) and Brier score (BS).
Patient age, Gleason score, clinical T-stage, urology practice, and tumor volume (greatest percent of a core involved with cancer and proportion of positive cores) were associated with the decision to choose AS in the intermediate-risk cohort (AUC = 0.875, BS = 0.07) and the complete cohort (AUC = 0.89, BS = 0.10). Patient age, urology practice, and tumor volume were significant in the low-risk cohort (AUC = 0.71, BS = 0.22). The addition of urology practice increased AUC in the low-risk cohort from 0.71 to 0.76 and reduced BS from 0.22 to 0.21.
The urology practice at which a patient is seen is an important predictor for whether patients will initiate AS. Predictions were least accurate for low-risk patients, suggesting that factors such as patient preference play a role in treatment decisions.
确定人口统计学和临床因素对主动监测(AS)启动的预测效果。
有人提出将AS作为减少前列腺癌患者过度治疗的一种方法;然而,与选择AS这一决定相关的因素尚未得到充分量化。利用密歇根泌尿外科手术改进协作登记系统,我们识别出了2977例在2012年1月1日至2013年12月31日期间做出治疗决定的前列腺癌患者。我们使用卡方检验和威尔科克森检验来研究这些因素与AS启动之间的关联。对达米科风险类别建立逻辑回归模型。估计模型的区分度和校准度指标,包括曲线下面积(AUC)和布里尔评分(BS)。
在中危队列(AUC = 0.875,BS = 0.07)和整个队列(AUC = 0.89,BS = 0.10)中,患者年龄、格里森评分、临床T分期、泌尿外科诊疗机构以及肿瘤体积(癌灶累及的核心组织最大百分比和阳性核心组织比例)与选择AS的决定相关。在低危队列中,患者年龄、泌尿外科诊疗机构和肿瘤体积具有显著意义(AUC = 0.71,BS = 0.22)。增加泌尿外科诊疗机构这一因素后,低危队列的AUC从0.71提高到0.76,BS从0.22降至0.21。
患者就诊的泌尿外科诊疗机构是患者是否启动AS的重要预测因素。对低危患者的预测最不准确,这表明患者偏好等因素在治疗决策中发挥了作用。