估计EQ-5D-5L和EORTC QLQ-C30在癌症中的最小重要的差异
Siobhan Bourke1, Bryan Bennett2, Yemi Oluboyede3
1Putnam, 22-24 Torrington Place, Fitzrovia, London, WC1E 7HJ, UK. siobhan.bourke@putassoc.com.
Health and quality of life outcomes
|September 20, 2024
概括
这项研究确定了癌症患者的EQ-5D-5L效用指数,EQ-Visual Analogue Scale (EQ-VAS) 和EORTC QLQ-C30领域的较低最小重要差异 (MID) 值. 这些发现为实践中的生活质量变化提供了更具临床相关性的解释.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床流行病学 临床流行病学
- 患者报告的结果
背景情况:
- 最小重要的差异 (MID) 对于解释患者报告的与健康有关的生活质量 (HRQoL) 变化至关重要.
- 估计癌症患者的MID对于临床实践至关重要.
研究的目的:
- 为了估计EQ-5D-5L问卷的效用指数和EQ-视觉模拟量表 (EQ-VAS) 的MID.
- 在癌症患者中确定欧洲癌症研究和治疗组织生命质量问卷核心30 (EORTC QLQ-C30) 领域的MID.
主要方法:
- 利用了澳大利亚癌症患者的纵向癌症2015数据集.
- 应用了基于的方法,使用临床 (ECOG) 和患者报告的来估计MID.
- 用线性回归和基于分布的方法来估计MID.
主要成果:
- 与之前的研究相比,EQ-5D-5L实用指数 (0.03) 和EQ-VAS (5分) 的MID较低.
- 对于EORTC QLQ-C30领域的有意义的变化值包括身体功能 (3.64/4.28),角色功能 (6.31/7.11),情感功能 (4.65/3.41),和社会功能 (5.41/5.56).
结论:
- 这项研究确定了癌症患者关键HRQoL指标的较低MID.
- 使用现实世界,癌症特定数据集为临床实践提供了更适用的MID估计.
更多相关视频
06:03Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
6.6K
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
8.3K
相关概念视频
01:21Cancer Survival Analysis
331
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
331
01:20Comparing the Survival Analysis of Two or More Groups
158
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
158