Fei Gao, David V Glidden, James P Hughes, Deborah J Donnell
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This motivates the construction of a counterfactual estimate that approximates incidence for a randomized concurrent control group receiving no PrEP.</p><p><strong>Methods: </strong>We propose an approach that is to enroll a cohort of prospective PrEP users and aug-ment screening for HIV with laboratory markers of duration of HIV infection to indicate recent infections. We discuss the assumptions under which these data would yield an estimate of the counterfactual HIV incidence and develop sample size and power calculations for comparisons to incidence observed on an investigational PrEP agent.</p><p><strong>Results: </strong>We consider two hypothetical trials for men who have sex with men (MSM) and transgender women (TGW) from different regions and young women in sub-Saharan Africa. The calculated sample sizes are reasonable and yield desirable power in simulation studies.</p><p><strong>Conclusions: </strong>Future one-arm trials with counterfactual placebo incidence based on a recency assay can be conducted with reasonable total screening sample sizes and adequate power to determine treatment efficacy.</p>","PeriodicalId":74867,"journal":{"name":"Statistical communications in infectious diseases","volume":" ","pages":"20200009"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865397/pdf/scid-13-1-scid-2020-0009.pdf","citationCount":"9","resultStr":"{\"title\":\"Sample size calculation for active-arm trial with counterfactual incidence based on recency assay.\",\"authors\":\"Fei Gao, David V Glidden, James P Hughes, Deborah J Donnell\",\"doi\":\"10.1515/scid-2020-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The past decade has seen tremendous progress in the development of biomedical agents that are effective as pre-exposure prophylaxis (PrEP) for HIV prevention. To expand the choice of products and delivery methods, new medications and delivery methods are under development. Future trials of non-inferiority, given the high efficacy of ARV-based PrEP products as they become current or future standard of care, would require a large number of participants and long follow-up time that may not be feasible. This motivates the construction of a counterfactual estimate that approximates incidence for a randomized concurrent control group receiving no PrEP.</p><p><strong>Methods: </strong>We propose an approach that is to enroll a cohort of prospective PrEP users and aug-ment screening for HIV with laboratory markers of duration of HIV infection to indicate recent infections. We discuss the assumptions under which these data would yield an estimate of the counterfactual HIV incidence and develop sample size and power calculations for comparisons to incidence observed on an investigational PrEP agent.</p><p><strong>Results: </strong>We consider two hypothetical trials for men who have sex with men (MSM) and transgender women (TGW) from different regions and young women in sub-Saharan Africa. The calculated sample sizes are reasonable and yield desirable power in simulation studies.</p><p><strong>Conclusions: </strong>Future one-arm trials with counterfactual placebo incidence based on a recency assay can be conducted with reasonable total screening sample sizes and adequate power to determine treatment efficacy.</p>\",\"PeriodicalId\":74867,\"journal\":{\"name\":\"Statistical communications in infectious diseases\",\"volume\":\" \",\"pages\":\"20200009\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865397/pdf/scid-13-1-scid-2020-0009.pdf\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical communications in infectious diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/scid-2020-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical communications in infectious diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/scid-2020-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
目标:在过去的十年中,作为预防艾滋病暴露前预防(PrEP)的有效生物医学制剂的开发取得了巨大进步。为了扩大产品和给药方法的选择范围,新的药物和给药方法正在开发中。鉴于基于抗逆转录病毒药物的 PrEP 产品具有很高的疗效,并已成为当前或未来的标准治疗方法,未来的非劣效性试验将需要大量的参与者和较长的随访时间,这可能并不可行。这就促使我们构建一个反事实估计值,该估计值近似于不接受 PrEP 的随机同期对照组的发病率:我们提出了一种方法,即招募一批潜在的 PrEP 使用者,并通过 HIV 感染持续时间的实验室标记来增强 HIV 筛查,以显示最近的感染情况。我们讨论了这些数据将产生反事实 HIV 感染率估计值的假设条件,并制定了样本大小和功率计算方法,以便与使用试验性 PrEP 药物观察到的感染率进行比较:我们考虑了针对不同地区男男性行为者 (MSM) 和变性女性 (TGW) 以及撒哈拉以南非洲年轻女性的两项假设试验。计算出的样本量是合理的,在模拟研究中能产生理想的效果:未来的单臂试验可根据再现测定法进行反事实安慰剂发病率试验,其总筛查样本量合理,且有足够的力量来确定治疗效果。
Sample size calculation for active-arm trial with counterfactual incidence based on recency assay.
Objectives: The past decade has seen tremendous progress in the development of biomedical agents that are effective as pre-exposure prophylaxis (PrEP) for HIV prevention. To expand the choice of products and delivery methods, new medications and delivery methods are under development. Future trials of non-inferiority, given the high efficacy of ARV-based PrEP products as they become current or future standard of care, would require a large number of participants and long follow-up time that may not be feasible. This motivates the construction of a counterfactual estimate that approximates incidence for a randomized concurrent control group receiving no PrEP.
Methods: We propose an approach that is to enroll a cohort of prospective PrEP users and aug-ment screening for HIV with laboratory markers of duration of HIV infection to indicate recent infections. We discuss the assumptions under which these data would yield an estimate of the counterfactual HIV incidence and develop sample size and power calculations for comparisons to incidence observed on an investigational PrEP agent.
Results: We consider two hypothetical trials for men who have sex with men (MSM) and transgender women (TGW) from different regions and young women in sub-Saharan Africa. The calculated sample sizes are reasonable and yield desirable power in simulation studies.
Conclusions: Future one-arm trials with counterfactual placebo incidence based on a recency assay can be conducted with reasonable total screening sample sizes and adequate power to determine treatment efficacy.