Accrual Prediction Program: A web-based clinical trials tool for monitoring and predicting accrual for early-phase cancer studies
نویسندگان
چکیده
منابع مشابه
Predicting accrual achievement: monitoring accrual milestones of NCI-CTEP-sponsored clinical trials.
PURPOSE The need to increase the number oncology clinical trials with sufficient enrollments is a well-known issue, particularly for trials targeting therapeutic applications. It is critical to identify early predictors of eventual study accrual achievement. EXPERIMENTAL DESIGN All nonpediatric phase I, I/II, II, and III therapeutic studies supported by the National Cancer Institute Cancer Th...
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Objective To provide brief guidance on how to design accrual monitoring activities in a clinical trial protocol. Setting Two completed clinical trials that did not achieve the planned sample size, the Cost of Strategies After Myocardial Infarction (COSTAMI) trial and the Biventricular Pacing After Cardiac Surgery (BiPACS) trial. Design A Bayesian monitoring tool, the constant accrual model,...
متن کاملPredicting accrual in clinical trials with Bayesian posterior predictive distributions.
Investigators need good statistical tools for the initial planning and for the ongoing monitoring of clinical trials. In particular, they need to carefully consider the accrual rate-how rapidly patients are being recruited into the clinical trial. A slow accrual decreases the likelihood that the research will provide results at the end of the trial with sufficient precision (or power) to make m...
متن کاملAccrual strategies for phase I trials with delayed patient outcome.
Phase I dose-finding trials typically are conducted using adaptive rules that select dose levels for successive patient cohorts based on the outcomes of patients treated previously in the trial. When patient outcome cannot be observed immediately after treatment, the problem arises of how to deal with new patients while waiting to observe the current patient cohort's outcomes. We consider two a...
متن کاملDesign-phase prediction of potential cancer clinical trial accrual success using a research data mart.
BACKGROUND Many cancer interventional clinical trials are not completed because the required number of eligible patients are not enrolled. OBJECTIVE To assess the value of using a research data mart (RDM) during the design of cancer clinical trials as a predictor of potential patient accrual, so that less trials fail to meet enrollment requirements. MATERIALS AND METHODS The eligibility cri...
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ژورنال
عنوان ژورنال: Clinical Trials
سال: 2019
ISSN: 1740-7745,1740-7753
DOI: 10.1177/1740774519871474