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癌症患者健康相关生活质量数据的预后因素分析:统计方法学评价。

Prognostic factor analysis of health-related quality of life data in cancer: a statistical methodological evaluation.

机构信息

Statistician, European Organisation for Research & Treatment of Cancer, Quality of Life Department, Headquarters, Avenue Mounier 83/11, 1200 Brussels, Belgium.

出版信息

Expert Rev Pharmacoecon Outcomes Res. 2008 Apr;8(2):179-96. doi: 10.1586/14737167.8.2.179.

DOI:10.1586/14737167.8.2.179
PMID:20528407
Abstract

A significant body of research exists in oncology to identify and evaluate prognostic factors, historically focused on histology, clinical stage and laboratory parameters. Recent evidence suggests that patient self-reported health-related quality-of-life (HRQOL) data provide additional prognostic information. A review by Gotay et al. of published prognostic analyses reports on the usefulness of patient-reported outcomes (PROs), including HRQOL, in predicting survival in cancer patients in clinical trials. An impressive number of studies have found a positive relationship that supports an independent association between HRQOL and survival. However, due to the considerable diversity in, for example, patient groups, types of HRQOL measures used and analytical strategies, current evidence is far from conclusive. This paper examines the statistical research methods employed, discusses key issues for HRQOL prognostic factor-analysis parameters and proposes recommendations for future outcome research.

摘要

大量的肿瘤学研究旨在识别和评估预后因素,这些因素主要集中在组织学、临床分期和实验室参数上。最近的证据表明,患者自我报告的健康相关生活质量(HRQOL)数据提供了额外的预后信息。Gotay 等人对已发表的预后分析进行了回顾,报告了患者报告的结果(PROs),包括 HRQOL,在预测临床试验中癌症患者生存方面的有用性。令人印象深刻的是,许多研究发现了一种积极的关系,支持 HRQOL 与生存之间的独立关联。然而,由于患者群体、使用的 HRQOL 测量类型和分析策略等方面存在相当大的差异,目前的证据还远不能得出结论。本文研究了所使用的统计研究方法,讨论了 HRQOL 预后因素分析参数的关键问题,并为未来的结果研究提出了建议。

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