Unger Joseph M, Andrews Hillary S, Levit Laura A, McKelvey Brittany A, Stewart Mark, Canin Beverly, Flaherty Keith, Kimball Denise, Miller Therica, Onitilo Adedayo, Bruinooge Suanna, Garrett-Mayer Elizabeth, Schenkel Caroline
Fred Hutchinson Cancer Center, Seattle, WA.
Friends of Cancer Research, Washington, DC.
JCO Oncol Adv. 2025 Jun 13;2(1):e2500021. doi: 10.1200/OA-25-00021. eCollection 2025 Jun.
The onset of the COVID-19 pandemic in early 2020 disrupted the conduct of cancer clinical trials. In response, federal agencies allowed more flexibility for trial recruitment and patient follow-up. A key question is whether the benefits of adopting these strategies outweigh the potential detriments to quality metrics.
A joint ASCO and Friends of Cancer Research task force invited industry and National Cancer Institute trial sponsors to contribute deidentified trial-level aggregate data on enrollment, major protocol deviations, dropouts, and severe adverse events (Common Terminology Criteria for Adverse Events grade 3-5). These quality metrics were examined as proportions of participants at risk during the pre-COVID-19 (January 2017-February, 2020), initial wave (March-April, 2020), initial recovery (May-December, 2020), and secondary recovery (January 2021-December 2022) periods. Multilevel beta-regression was used, adjusting for phase; study and sponsor were treated as random effects. Indicator variables were used with pre-COVID-19 as the reference.
Ten sponsors contributed 67 analyzable trials with N = 12,000 US-based participants. Enrollment odds decreased 49% in the initial wave (odds ratio [OR], 0.51 [95% CI, 0.30 to 0.86], = .01) but recovered to pre-COVID-19 levels by 2021-2022 (OR, 1.01 [95% CI, 0.56 to 1.81], = .97). Major protocol deviations, dropouts, and severe toxicity all had a lower incidence in the initial wave compared with pre-COVID-19; these outcomes were also less frequent ( < .05) in the initial recovery period but returned to pre-COVID-19 levels by 2021-2022.
In this multicollaborator evaluation, large declines in enrollment, major protocol deviations, dropouts, and severe toxicity during the acute phase of the pandemic all returned to pre-COVID-19 levels by 2021-2022. These findings highlight the impact of the temporary disruption to trial conduct during the pandemic's peak, but suggest that pandemic-related procedural flexibility did not result in long-term reduced data quality. Sponsors and regulators should consider broader adaptation of trial flexibilities moving forward.
2020年初新冠疫情的爆发扰乱了癌症临床试验的开展。作为应对措施,联邦机构在试验招募和患者随访方面给予了更大的灵活性。一个关键问题是,采用这些策略的益处是否超过对质量指标的潜在不利影响。
美国临床肿瘤学会(ASCO)和癌症研究之友联合特别工作组邀请了行业组织和美国国立癌症研究所的试验申办者提供去识别化的试验层面汇总数据,内容包括入组情况、主要方案偏差、退出情况和严重不良事件(不良事件通用术语标准3 - 5级)。这些质量指标以新冠疫情前(2017年1月 - 2020年2月)、第一波疫情期间(2020年3月 - 4月)、初期恢复阶段(2020年5月 - 12月)和二次恢复阶段(2021年1月 - 2022年12月)处于风险中的参与者比例来衡量。采用多水平β回归分析,并对阶段进行了调整;将研究和申办者视为随机效应。以新冠疫情前作为参照使用指示变量。
10个申办者提供了67项可分析的试验,涉及12,000名美国参与者。在第一波疫情期间,入组几率下降了49%(优势比[OR],0.51[95%置信区间,0.30至0.86],P = 0.01),但到2021 - 2022年恢复到了新冠疫情前的水平(OR,1.01[95%置信区间,0.56至1.81],P = 0.97)。与新冠疫情前相比,主要方案偏差、退出情况和严重毒性在第一波疫情期间的发生率均较低;这些结果在初期恢复阶段也较不常见(P < 0.05),但到2021 - 2022年恢复到了新冠疫情前的水平。
在这项多协作方评估中,疫情急性期入组、主要方案偏差、退出情况和严重毒性的大幅下降在2021 - 2022年都恢复到了新冠疫情前的水平。这些发现凸显了疫情高峰期对试验开展的临时干扰的影响,但表明与疫情相关的程序灵活性并未导致数据质量长期下降。申办者和监管机构未来应考虑更广泛地采用试验灵活性措施。