Signal detection in real-world data and confirmation in clinical trials: Diabetes as a case study for a conversation worth having.
Signal detection in real-world data and confirmation in clinical trials: Diabetes as a case study for a conversation worth having.
复制标题
现实世界数据中的信号检测和临床试验中的确认:糖尿病作为值得讨论的案例研究。
DOI:
10.1002/cncr.34939
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发表时间:
2023
期刊:
影响因子:
6.2
通讯作者:
Quandt,ZoeEloise
中科院分区:
文献类型:
--
作者:
Sharon,Elad;Othus,Megan;Quandt,ZoeEloise
In 2017, the American Society of Clinical Oncology, the US Food and Drug Administration, and Friends of Cancer Research published a series of articles on broadening eligibility criteria for cancer clinical trials. 1 The laudable goals of the articles and the preceding working groups were to enable clinical trials to more accurately reflect the population of cancer patients generally. The US National Cancer Institute (NCI) updated its clinical protocol templates to reflect this call to action in 2018, and further efforts in 2021 have continued the process with additional areas targeted for optimization, including reducing exclusion criteria related to washout periods and performance status. 2At the same time, a revolution in real-world data (RWD) has been emerging from the rapid digitization of electronic health records, with numerous industry and academic analyses of patient data, allowing for improved understanding of patient outcomes outside of clinical trials. 3–5 In the accompanying article by Leshem et al., 6 the investigators used two separate databases to evaluate the effect of diabetes on outcomes for patients with non–small cell lung cancer being treated with immune checkpoint inhibitors, either alone or in combination with chemotherapy. The investigators found a difference in survival outcomes when comparing diabetic patients to nondiabetic patients. This finding was then confirmed in a broader data set of RWD.