利用汇总的个体患者数据加速癌症患者的精确运动医学:POLARIS经验。

IF 4.1 Q2 ONCOLOGY
Laurien M Buffart, Marlou-Floor Kenkhuis, Robert U Newton, Anne M May, Daniel A Galvão, Kerry S Courneya
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引用次数: 0

摘要

许多运动肿瘤学试验已经完成,极大地为癌症患者的运动建议提供了信息。运动医学可以在不同的时间点以不同的类型、剂量和时间表进行。推进精准运动医学需要了解不同运动干预措施的效果如何随个体患者的特征而变化。预测最佳癌症康复和支持性护理(POLARIS)研究提供了一个国际基础设施和共享数据库,用于对来自多个随机对照试验的个体患者数据(IPD)进行汇总分析。本评论旨在强调综合IPD分析的价值,总结已发表的综合IPD分析中关于体育锻炼对各种结果影响的关键发现,并为推进癌症患者的精准运动医学提供指导。POLARIS目前包括52项运动试验的IPD。迄今为止的研究结果表明,癌症患者的运动干预对身体健康、疲劳、健康相关生活质量(HRQoL)、自我报告的认知(治疗后)、睡眠障碍以及焦虑和抑郁症状有有益的影响。此外,还确定了运动效果因患者的特征而异,包括结果的初始值、年龄、婚姻状况和教育水平,以及干预的特征,包括运动监督和特异性。为癌症患者推进精准运动医学的未来研究机会包括汇集来自未充分研究人群的试验数据、临床结果和生物标志物的数据,以及应用机器学习模型来识别修改干预效果和预测个体治疗效果的协变量组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accelerating precision exercise medicine in cancer patients using pooled individual patient data: POLARIS experience.

Accelerating precision exercise medicine in cancer patients using pooled individual patient data: POLARIS experience.

Numerous exercise oncology trials have been completed, greatly informing exercise recommendations for patients with cancer. Exercise medicine can be administered in various types, doses, and schedules at various time points. Advancing precision exercise medicine requires understanding of how the effects of different exercise interventions vary by characteristics of individual patients. The Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study provides an international infrastructure and shared database to perform pooled analyses of individual patient data (IPD) from multiple randomized controlled trials. This commentary aims to highlight the value of pooled IPD analyses, summarize key findings from published pooled IPD analyses on the effects of physical exercise on various outcomes, and provide guidance to advance precision exercise medicine for patients with cancer. POLARIS currently includes IPD from 52 exercise trials. Findings to date indicate that exercise interventions in patients with cancer have beneficial effects on physical fitness, fatigue, health-related quality of life, self-reported cognition (posttreatment), sleep disturbances, and symptoms of anxiety and depression. Additionally, it was determined that the exercise effects varied by characteristics of the patients, including the initial value of the outcome, age, marital status, and education level, and by characteristics of the intervention, including exercise supervision and specificity. Future research opportunities to advance precision exercise medicine for patients with cancer include pooling of trial data from understudied populations, data on clinical outcomes, and biomarkers, as well as applying machine learning models for identifying combinations of covariables that modify intervention effects and predictions of individual treatment effects.

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来源期刊
JNCI Cancer Spectrum
JNCI Cancer Spectrum Medicine-Oncology
CiteScore
7.70
自引率
0.00%
发文量
80
审稿时长
18 weeks
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