描述慢性疾病临床试验中的子组报告:一项超流行病学研究
Lili Wei1, Elaine Butterly2, Jesús Rodríguez Pérez2
1University of Glasgow School of Health and Wellbeing, Glasgow, UK lili.wei@glasgow.ac.uk.
BMJ open
|June 22, 2024
概括
临床试验中的子组分析很少发生,报告的最常见的特征是年龄,性别和种族. 关于治疗效果在伴随性疾病或精神健康方面的变化信息特别罕见.
科学领域:
- 临床研究方法论临床研究方法论
- 生物统计学 生物统计学
- 基于证据的医学是基于证据的医学.
背景情况:
- 在临床试验中,子组分析对于了解患者特征之间的治疗效果变化至关重要.
- 缺乏常见报告的子组的全面描述.
研究的目的:
- 在临床试验中,系统地描述各种疾病和药物类别中报告的子组.
- 在试验出版物中确定子组报告的预测因素.
主要方法:
- 利用来自clinicaltrials.gov的一组美国临床试验的数据.
- 从相关的PubMed索引论文中提取和标准化子组信息.
- 采用后勤和Poisson回归模型来确定子组报告的预测因素.
主要成果:
- 只有23%的合格试验报告了子组分析.
- 年龄 (51%),性别 (45%) 和种族 (28%) 是最经常报告的子组.
- 报告有关并发症,虚弱和心理健康子组的情况很少见.
结论:
- 临床试验中小组报告有限,重点关注基本的人口统计数据.
- 需要对与并发病,虚弱和心理健康相关的子组进行更全面的报告,以了解治疗效果的变化.
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