Suppr超能文献

婚姻状况和种族对入组放射治疗肿瘤学组前列腺癌试验患者结局的影响。

Impact of marital status and race on outcomes of patients enrolled in Radiation Therapy Oncology Group prostate cancer trials.

机构信息

University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Support Care Cancer. 2012 Jun;20(6):1317-25. doi: 10.1007/s00520-011-1219-4. Epub 2011 Jul 1.

Abstract

INTRODUCTION

Previous studies by our group and others have demonstrated the importance of sociodemographic factors in cancer-related outcomes. The identification of these factors has led to novel approaches to the care of the high-risk cancer patient, specifically in the adoption of clinical interventions that convey similar benefits as favorable sociodemographic characteristics. This study examined the importance of marital status and race as prognostic indicators in men with prostate cancer.

METHODS

This report is a meta-analysis of 3,570 patients with prostate cancer treated in three prospective RTOG clinical trials. The Kaplan-Meier method was used to estimate the survival rate and the cumulative incidence method was used to analyze biochemical failure rate. Hazard ratios were calculated for all covariates using either the Cox or Fine and Gray's proportional hazards model or logistic regression model with associated 95% confidence intervals and p values.

RESULTS

Hazard ratio (HR) for overall survival (OS) for single status compared to married status was 1.36 (95% CI, 1.2 to 1.53). OS HR for non-White compared to White patients was 1.05 (CI 0.92 to 1.21). In contrast, the disease-free survival (DFS) HR and biochemical failure (BF) HR were both not significantly different neither between single and married patients nor between White patients and non-White patients. Median time to death for married men was 5.68 years and for single men was 4.73 years. Median time for DFS for married men was 7.25 years and for single men was 6.56 years. Median time for BF for married men was 7.81 years and for single men was 7.05 years.

CONCLUSIONS

Race was not associated with statistically significant differences in this analysis. Congruent with our previous work in other cancer sites, marital status predicted improved prostate cancer outcomes including overall survival.

IMPLICATIONS FOR CANCER SURVIVORS

Prostate cancer is the most common visceral cancer in men in the USA. The stratification of prostate cancer risk is currently modeled solely on pathologic prognostic factors including PSA and Gleason Score. Independent of these pathologic prognostic factors, our paper describes the central sociodemographic factor of being single as a negative prognostic indicator. Single men are at high risk of poorer outcomes after prostate cancer treatment. Intriguingly, in our group of patients, race was not a significant prognostic factor. The findings in this paper add to the body of work that describes important sociodemographic prognostic factors that are currently underappreciated in patients with cancer. Future steps will include the validation of these findings in prospective studies, and the incorporation of clinical strategies that identify and compensate for sociodemographic factors that predict for poorer cancer outcomes.

摘要

简介

本研究组和其他研究小组先前的研究表明,社会人口因素对癌症相关结局具有重要影响。这些因素的识别导致了针对高危癌症患者的护理的新方法,特别是在采用传达类似益处的临床干预措施方面,这些干预措施与有利的社会人口特征相似。本研究检查了婚姻状况和种族作为前列腺癌男性患者预后指标的重要性。

方法

本报告是对 3570 名在三个前瞻性 RTOG 临床试验中接受治疗的前列腺癌患者的荟萃分析。使用 Kaplan-Meier 方法估计生存率,使用累积发生率方法分析生化失败率。使用 Cox 或 Fine 和 Gray 的比例风险模型或逻辑回归模型,计算所有协变量的风险比,并附有相关的 95%置信区间和 p 值。

结果

与已婚状态相比,单身状态的总体生存率(OS)风险比(HR)为 1.36(95%CI,1.2 至 1.53)。与白人患者相比,非白人患者的 OS HR 为 1.05(CI 0.92 至 1.21)。相比之下,单身和已婚患者之间,以及白人患者和非白人患者之间,无病生存率(DFS)HR 和生化失败(BF)HR 均无显著差异。已婚男性的死亡中位时间为 5.68 年,单身男性为 4.73 年。已婚男性的 DFS 中位时间为 7.25 年,单身男性为 6.56 年。已婚男性的 BF 中位时间为 7.81 年,单身男性为 7.05 年。

结论

在这项分析中,种族与统计学上的显著差异无关。与我们在其他癌症部位的先前工作一致,婚姻状况预测了包括总体生存率在内的前列腺癌结局的改善。

对癌症幸存者的影响

前列腺癌是美国男性中最常见的内脏癌。前列腺癌风险的分层目前仅基于病理预后因素,包括 PSA 和 Gleason 评分。独立于这些病理预后因素,我们的论文描述了单身这一主要社会人口因素是一个负面预后指标。单身男性在接受前列腺癌治疗后,其结局的风险很高。有趣的是,在我们的患者群体中,种族不是一个显著的预后因素。本文的研究结果进一步证实了,在癌症患者中,目前被低估的重要社会人口预后因素。未来的步骤将包括在前瞻性研究中验证这些发现,并纳入识别和补偿预测癌症结局较差的社会人口因素的临床策略。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验