How Median Follow-up Time Informs Survival Outcomes: Lessons from a Trial of Acute Myeloid Patients Treated with Venetoclax and Azacitidine

医学 威尼斯人 临床试验 阿扎胞苷 内科学 数据监测委员会 中期分析 代理终结点 审查(临床试验) 肿瘤科 白血病 病理 基因表达 化学 DNA甲基化 基因 慢性淋巴细胞白血病 生物化学
作者
Diana Abbott,Andrew Hammes,Jonathan A. Gutman,Daniel A. Pollyea,Clayton A. Smith
出处
期刊:Blood [Elsevier BV]
卷期号:134 (Supplement_1): 5897-5897 被引量:2
标识
DOI:10.1182/blood-2019-126344
摘要

Background: Follow-up time in clinical trials must leverage conflicting aims. To ensure patient safety, investigators often assess toxicity and efficacy endpoints at various times throughout a trial. Yet accurate analysis requires stable estimates of time-to-event outcomes, which can require longer follow-up than is observed in interim analyses. While median follow-up is routinely reported in clinical trials, the stability of time-to-event estimates and their relationship to follow-up times are rarely discussed. However, the potential follow-up of study participants who are censored in a clinical trial can impact time-to-event estimates (Betensky 2015). Methods: A clinical trial of venetoclax + azacitidine in 33 newly diagnosed older patients with AML was conducted at our institution and is described in detail elsewhere (Pollyea 2018). Trial data consisting of follow-up from January 2015 through February 2018 established promising results (overall response rate = 91%; median response duration, progression-free survival, and overall survival (OS) were not yet reached). Due to ongoing interest in median time-to-event patient outcomes that were not reached and thus could not be reported at the time of publication, the data have been re-analyzed on repeated occasions as follow-up has continued, with OS of particular interest. Median follow-up was calculated using the reverse Kaplan-Meier method. Median OS was calculated using Kaplan-Meier product limit estimates. Analysis of trial data has occurred at 6 different censoring time points: December 4, 2017; February 28, 2018; October 3, 2018; December 31, 2018; March 8, 2019; and May 20, 2019. Upper and lower limits of the Kaplan-Meier OS estimate were calculated to explore the stability of OS estimates over time (Betensky 2015). Analyses were performed using SAS version 9.4 (SAS Institute). Results: Median OS was not reached until analysis was conducted as of October 3, 2018. At this analysis the median OS (1130 days) exceeded the median follow-up time (867 days). This phenomenon also occurred for data censored on December 31, 2018, with the median OS (1130 days) also exceeding the median follow-up time (956 days). In the most recent two analyses of the data (March 8, 2019 and May 20, 2019), the median OS settled at a consistent value (880 days) that did not exceed the median follow-up times (1023 days and 1096 days, respectively). Exploration of the stability of OS estimates revealed that a single patient enrolled early in the study and died after 1130 days of follow-up skewed the median OS estimate upward. Conclusions: Interest in our clinical trial results motivated numerous follow-up analyses of our data. As such, we encountered a peculiar result in which median OS exceeded median follow-up. In investigating the stability of the OS K-M estimates, a single patient's study data was found to skew results in these instances. Removal of this patient's data in these instances (when the relationship between median follow-up and median OS suggest estimate instability) results in a median OS consistent with subsequent analyses at later censoring dates (880 days for the modified analysis). We therefore conclude that time-to-event estimate stability is informative and should be incorporated into survival analysis of clinical trial data. Disclosures Pollyea: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Forty-Seven: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celyad: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Diachii Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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