使用现实世界的数据与相关的死亡率信息分析生存的不同审查方法的影响:一个模拟研究研究
Wei-Chun Hsu1, Aaron Crowley1, Craig S Parzynski2
1Genesis Research Group, 111 River St, Ste 1120, Hoboken, NJ, 07030, USA.
BMC medical research methodology
|September 13, 2024
概括
在现实世界的证据研究中,选择正确的审查方法对于准确的整体生存率估计至关重要. 不完整的死亡数据可能导致偏见的结果,影响治疗有效性的结论.
科学领域:
- 现实世界的证据研究研究.
- 生物统计学 生物统计学
- 健康研究成果研究结果
背景情况:
- 在现实世界证据 (RWE) 研究中,可靠的结果评估是必不可少的.
- 总体生存率 (OS) 是一个常见的RWE结果,但其数据捕获通常不完整.
- 经常使用外部死亡数据链接,但审查建议各不相同.
研究的目的:
- 调查不同审查方法对中位生存率和日志危险比率估计的影响.
- 在部分捕获的外部死亡率信息条件下评估这些影响.
- 了解审查如何影响现实世界数据 (RWD) 分析.
主要方法:
- 蒙特卡洛模拟使用RWD和相关死亡率数据进行比较有效性研究.
- 评估两个审查方案:最后活动日期与数据截止日期.
- 在不同的数据完整性和研究参数下,评估偏差,覆盖率,差异和拒绝率.
主要成果:
- 当死亡数据完整时,数据截止时的审查产生了公正的中位数存活率;在最后活动时的审查低估了它.
- 在不完整的死亡数据下,在最后活动时进行审查低估了生存率,而在数据截止时进行审查高估了生存率.
- 平均存活率估计中的偏差与缺失的死亡率数据的数量相反地变化,这取决于审查方法.
结论:
- 链接的外部死亡率数据的完整性必须指导RWD研究中OS的审查策略的选择.
- 不适当的审查可以在中位数生存率估计中引入实质性的偏见.
- 轮病提供者应验证和发布其死亡率数据,以支持在轮病研究中的方法论决策.
相关概念视频
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