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基于在线癌症支持小组讨论调查低中危前列腺癌患者情绪和其他因素的患者报告信息多维探索(PRIME)框架。

The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate Risk Based on Online Cancer Support Group Discussions.

机构信息

Research Centre for Data Analytics and Cognition, La Trobe University, Melbourne, VIC, Australia.

Austin Hospital, Heidelberg, VIC, Australia.

出版信息

Ann Surg Oncol. 2018 Jun;25(6):1737-1745. doi: 10.1245/s10434-018-6372-2. Epub 2018 Feb 21.

Abstract

BACKGROUND

This study aimed to use the Patient Reported Information Multidimensional Exploration (PRIME) framework, a novel ensemble of machine-learning and deep-learning algorithms, to extract, analyze, and correlate self-reported information from Online Cancer Support Groups (OCSG) by patients (and partners of patients) with low intermediate-risk prostate cancer (PCa) undergoing radical prostatectomy (RP), external beam radiotherapy (EBRT), and active surveillance (AS), and to investigate its efficacy in quality-of-life (QoL) and emotion measures.

METHODS

From patient-reported information on 10 OCSG, the PRIME framework automatically filtered and extracted conversations on low intermediate-risk PCa with active user participation. Side effects as well as emotional and QoL outcomes for 6084 patients were analyzed.

RESULTS

Side-effect profiles differed between the methods analyzed, with men after RP having more urinary and sexual side effects and men after EBRT having more bowel symptoms. Key findings from the analysis of emotional expressions showed that PCa patients younger than 40 years expressed significantly high positive and negative emotions compared with other age groups, that partners of patients expressed more negative emotions than the patients, and that selected cohorts (< 40 years, > 70 years, partners of patients) have frequently used the same terms to express their emotions, which is indicative of QoL issues specific to those cohorts.

CONCLUSION

Despite recent advances in patient-centerd care, patient emotions are largely overlooked, especially in younger men with a diagnosis of PCa and their partners. The authors present a novel approach, the PRIME framework, to extract, analyze, and correlate key patient factors. This framework improves understanding of QoL and identifies low intermediate-risk PCa patients who require additional support.

摘要

背景

本研究旨在使用新型机器学习和深度学习算法的集合——患者报告信息多维探索(PRIME)框架,从接受根治性前列腺切除术(RP)、外束放射治疗(EBRT)和主动监测(AS)的低中危前列腺癌(PCa)患者(和患者的伴侣)的在线癌症支持小组(OCSG)的自我报告信息中提取、分析和关联信息,并研究其在生活质量(QoL)和情绪测量方面的效果。

方法

从 10 个 OCSG 的患者报告信息中,PRIME 框架自动筛选并提取了具有活跃用户参与的低中危 PCa 对话。分析了 6084 例患者的副作用以及情绪和 QoL 结果。

结果

分析的方法之间的副作用谱不同,RP 后的男性出现更多的尿和性功能障碍,EBRT 后的男性出现更多的肠道症状。对情绪表达的分析得出了一些重要发现,40 岁以下的 PCa 患者与其他年龄组相比,表现出明显更高的正性和负性情绪,患者的伴侣表现出更多的负性情绪,而选择的队列(<40 岁、>70 岁、患者的伴侣)经常使用相同的术语来表达他们的情绪,这表明这些队列存在特定的 QoL 问题。

结论

尽管最近在以患者为中心的护理方面取得了进展,但患者的情绪在很大程度上仍被忽视,尤其是在诊断为 PCa 的年轻男性及其伴侣中。作者提出了一种新的方法——PRIME 框架,用于提取、分析和关联关键患者因素。该框架提高了对 QoL 的理解,并确定了需要额外支持的低中危 PCa 患者。

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