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一项针对放射肿瘤学家和泌尿科医生的全国性调查,了解他们对局部前列腺癌预测工具和列线图的使用情况。

A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer.

机构信息

Department of Urology, Brown University, Providence, RI, USA.

Division of Urology, University of Colorado, Denver, CO, USA.

出版信息

World J Urol. 2019 Oct;37(10):2099-2108. doi: 10.1007/s00345-019-02637-6. Epub 2019 Jan 22.

Abstract

PURPOSE

Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we performed a national survey of specialists about perceived attitudes and use of prediction tools.

METHODS

In 2017, we invited 940 URO and 911 RO in a national survey to query their confidence in and use of the D'Amico criteria, Kattan Nomogram, and CAPRA score. The statistical analysis involved bivariate association and multivariable logistic regression analyses to identify physician characteristics (age, gender, race, practice affiliation, specialty, access to robotic surgery, ownership of linear accelerator and number of prostate cancer per week) associated with survey responses and use of active surveillance (AS) for low-risk PCa.

RESULTS

Overall, 691 (37.3%) specialists completed the surveys. Two-thirds (range 65.6-68.4%) of respondents reported being "somewhat confident", but only a fifth selected "very confident" for each prediction tool (18.0-20.1%). 19.1% of specialists in the survey reported not using any prediction tools in clinical practice, which was higher amongst URO than RO (23.9 vs. 13.4%; p < 0.001). Respondents who reported not using prediction tools were also associated with low utilization of AS in their low-risk PCa patients (adjusted OR 2.47; p = 0.01).

CONCLUSIONS

While a majority of RO and URO view existing prediction tools for localized PCa with some degree of confidence, a fifth of specialists reported not using any such tools in clinical practice. Lack of using such tools was associated with low utilization of AS for low-risk PCa.

摘要

目的

尽管前列腺癌(PCa)预测工具对于高质量的治疗决策至关重要,但对于放射肿瘤学家(RO)和泌尿科医生(URO)对现有工具的置信度程度以及它们在临床实践中的使用情况知之甚少。在此,我们对专家进行了一项关于预测工具的态度和使用情况的全国性调查。

方法

在 2017 年,我们邀请了 940 名 URO 和 911 名 RO 参与全国性调查,以查询他们对 D'Amico 标准、Kattan 列线图和 CAPRA 评分的信心程度和使用情况。统计分析包括两变量关联和多变量逻辑回归分析,以确定与调查结果和低危 PCa 主动监测(AS)使用相关的医师特征(年龄、性别、种族、执业机构、专业、是否有机器人手术、是否拥有线性加速器以及每周前列腺癌患者数量)。

结果

共有 691 名(37.3%)专家完成了调查。三分之二(范围为 65.6-68.4%)的受访者报告“有些信心”,但只有五分之一的受访者(18.0-20.1%)对每种预测工具选择“非常有信心”。调查中有 19.1%的专家表示在临床实践中不使用任何预测工具,URO 比 RO 更高(23.9%比 13.4%;p<0.001)。不使用预测工具的受访者也与他们低危 PCa 患者 AS 使用率低有关(调整后的 OR 2.47;p=0.01)。

结论

虽然大多数 RO 和 URO 对现有的局部 PCa 预测工具都有一定程度的信心,但五分之一的专家表示在临床实践中不使用任何此类工具。不使用这些工具与低危 PCa 患者 AS 的低使用率有关。

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