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Health-related Quality of Life in Patients with Advanced Prostate Cancer: A Systematic Review.晚期前列腺癌患者的健康相关生活质量:系统评价。
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Models of Palliative Care Delivery for Patients With Cancer.癌症患者姑息治疗的提供模式。
J Clin Oncol. 2020 Mar 20;38(9):852-865. doi: 10.1200/JCO.18.02123. Epub 2020 Feb 5.
3
Association of baseline symptom burden with efficacy outcomes: Exploratory analysis from the randomized phase III REVEL study in advanced non-small-cell lung cancer.基线症状负担与疗效结局的关联:III 期随机 REVEL 研究在晚期非小细胞肺癌中的探索性分析。
Lung Cancer. 2019 May;131:6-13. doi: 10.1016/j.lungcan.2019.03.001. Epub 2019 Mar 2.
4
Improving patient and caregiver outcomes in oncology: Team-based, timely, and targeted palliative care.改善肿瘤学患者和照护者的结局:以团队为基础、及时且有针对性的姑息治疗。
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9
Validity and Reliability of the US National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).美国国家癌症研究所患者报告结局版通用不良事件术语标准(PRO-CTCAE)的有效性和可靠性。
JAMA Oncol. 2015 Nov;1(8):1051-9. doi: 10.1001/jamaoncol.2015.2639.
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Progression-free survival as an end-point in solid tumours--perspectives from clinical trials and clinical practice.无进展生存期作为实体瘤的一个终点——来自临床试验和临床实践的观点
Eur J Cancer. 2014 Sep;50(13):2303-8. doi: 10.1016/j.ejca.2014.05.024. Epub 2014 Jun 25.

晚期癌症患者健康相关生活质量与无进展生存期的关系:SWOG 临床试验的二次分析。

Association Between Health-Related Quality of Life and Progression-Free Survival in Patients With Advanced Cancer: A Secondary Analysis of SWOG Clinical Trials.

机构信息

Department of Palliative Care, Rehabilitation and Integrative Medicine, MD Anderson Cancer Center, Houston, TX.

SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, WA.

出版信息

JCO Oncol Pract. 2022 Apr;18(4):e442-e451. doi: 10.1200/OP.21.00407. Epub 2021 Oct 4.

DOI:10.1200/OP.21.00407
PMID:34606328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9014467/
Abstract

PURPOSE

Health-related quality of life (HRQOL) is an established prognostic factor for mortality; however, it is unclear if HRQOL is predictive of time to disease progression, a particularly meaningful outcome for patients. We examined the association between HRQOL and progression-free survival (PFS) in SWOG Cancer Research Network clinical trials.

METHODS

For this secondary analysis, we reviewed all completed SWOG clinical trials to identify those for patients with advanced cancer that incorporated Functional Assessment of Cancer Therapy (FACT) questionnaires at baseline. FACT-Trial Outcome Index (FACT-TOI) was the primary independent variable. Associations between FACT-TOI and other FACT subscores with PFS and overall survival were evaluated via log-rank test and multivariable Cox regression analysis.

RESULTS

Three clinical trials met our inclusion criteria: S0027 and S9509 for advanced non-small-cell lung cancer and S0421 for hormone-refractory prostate cancer. Of the 1,527 enrolled patients, 1,295 (85%) had both HRQOL and survival outcomes data available and were included in this analysis. In univariable analysis, we observed a statistically significant gradient effect in all three trials, with higher baseline FACT-TOI scores corresponding to better PFS (S0027, < .001; S9509, = .02; and S0421, < .001). In multivariable analysis, FACT-TOI was significantly associated with PFS in S0027 (hazard ratio [HR] = 0.64; 95% CI, 0.42 to 1.00) but not in S9509 (HR = 0.77; 95% CI, 0.56 to 1.05) or S042 (HR = 0.86; 95% CI, 0.73 to 1.01). FACT-TOI was significantly associated with overall survival in multivariable analysis ( < .005 in all three trials).

CONCLUSION

The association between baseline FACT-TOI scores and survival underscores their potential as a stratification factor in clinical trials.

摘要

目的

健康相关生活质量(HRQOL)是死亡率的既定预后因素;然而,HRQOL 是否可预测疾病进展时间尚不清楚,而疾病进展时间对于患者来说是一个特别有意义的结果。我们研究了 HRQOL 与 SWOG 癌症研究网络临床试验中无进展生存期(PFS)之间的相关性。

方法

本二次分析研究回顾了所有完成的 SWOG 临床试验,以确定那些纳入基线功能性评估癌症治疗量表(FACT)问卷的晚期癌症患者的临床试验。FACT 试验结局指数(FACT-TOI)是主要的独立变量。通过对数秩检验和多变量 Cox 回归分析评估 FACT-TOI 与其他 FACT 亚量表与 PFS 和总生存期之间的相关性。

结果

有 3 项临床试验符合我们的纳入标准:用于晚期非小细胞肺癌的 S0027 和 S9509 以及用于激素难治性前列腺癌的 S0421。在纳入的 1527 名患者中,有 1295 名(85%)同时具有 HRQOL 和生存结局数据,这些患者被纳入本分析。在单变量分析中,我们观察到这 3 项试验均存在统计学上显著的梯度效应,较高的基线 FACT-TOI 评分与较好的 PFS 相关(S0027,<.001;S9509,=.02;S0421,<.001)。在多变量分析中,FACT-TOI 与 S0027 的 PFS 显著相关(风险比[HR] = 0.64;95%CI,0.42 至 1.00),但与 S9509(HR = 0.77;95%CI,0.56 至 1.05)或 S042(HR = 0.86;95%CI,0.73 至 1.01)无关。FACT-TOI 在多变量分析中与总生存期显著相关(在所有 3 项试验中均<.005)。

结论

基线 FACT-TOI 评分与生存之间的相关性突出了其作为临床试验分层因素的潜力。