期刊
JOURNAL OF GERIATRIC ONCOLOGY
卷 12, 期 5, 页码 714-723出版社
ELSEVIER
DOI: 10.1016/j.jgo.2020.10.015
关键词
Breast cancer; Clinical trial; Recruitment; Retention; Age distribution; Age bias
资金
- National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme [RPPG120910,071]
Recruitment and retention in a large observational breast cancer study were significantly impacted by age, with older women being overrepresented in comparison to age demographics of breast cancer patients in the UK. Logistic regression showed that older age significantly reduced the odds of consent, while multivariate analysis identified age, markers of poor functional ability, and instrumental activities of daily living as significant predictors of withdrawal. Further research should focus on exploring the underlying reasons for age bias in recruitment and retention.
Introduction: Recruitment and retention are two of the most important factors in successfully running clinical trials. Many trials encounter problems with both, causing delays or preventing study progress. These issues are greater in older adults and patients with cancer. Materials and methods: We assessed recruitment and retention in a large, multicentre, observational breast cancer study in older female patients (> 70 years, N = 3440). Data collected by the Age Gap study were used to assess rates of, and reasons for, patients not being recruited or retained. Statistical analysis assessed the impact of age as a predictor of recruitment and retention. Results: Between February 2013 and June 2018, 6876 patients were screened and 3456 were consented across 56 United Kingdom (UK) breast units. Reasons for non-recruitment included ineligibility, clinician issues, staffing resource issues, patients' lack of interest or time and trial burden. In comparison with the age demographics of patients with breast cancer in the UK, women aged 70-75 years were over-represented compared to older age groups. Logistic regression demonstrated that older age significantly reduced the odds of consent (OR = 0.96, CI: 0.938-0.982; p < 0.001). Multivariate analysis showed that age (p < 0.001), markers of poor functional ability (Eastern Cooperative Oncology Group Performance Status (p = 0.011)) and instrumental activities of daily living (p = 0.026) were significant predictors of withdrawal. Discussion: This study has demonstrated that selection and attrition bias for age are apparent despite a range of 'age friendly' study design measures. Exploration of the underlying reasons for this and development of measures to address this should be the focus of further research. (c) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据