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Simulating the contribution of a biospecimen and clinical data repository in a phase II clinical trial: a value of information analysis

机译:模拟生物开发和临床数据储存库在II期临床试验中的贡献:信息分析的价值

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摘要

The potential contributions of a centralized data warehouse or repository in clinical research include the expedited accrual of subjects for phase II trials. Understanding the contribution of data warehouses that integrate clinical, biospecimen, and molecular data for the conduct of clinical trials is essential to inform private and public decisions on resource allocation and investment.We conducted a value of information analysis using data from recent trials at the Moffitt Cancer Center and simulated the potential reductions in trial size due to possible alternative scenarios of expedited accrual. In this study, we compared alternative data sets using a single model to assess VOI. Our findings suggest that the reductions in trial size range from 0% to 43%, depending on the amount of censoring in overall survival. The ability to expedite the accrual of patients for clinical trial studies using large data repositories that store data on inclusion/exclusion criteria and response to standard of care therapies demonstrated significant improvement in reducing the number of subjects needed to achieve similar end-results, as evaluated using VOI analysis with a limited number of parameters and a parsimonious model of OS.
机译:集中式数据仓库或存储库在临床研究中的潜在贡献包括加快了II期临床试验的受试者人数。了解将临床,生物样本和分子数据整合在一起的数据仓库对于进行临床试验的贡献,对于为私人和公共部门进行资源分配和投资决策提供依据至关重要。癌症中心并模拟了由于可能的快速应计情况而可能导致的试验规模的减少。在这项研究中,我们比较了使用单一模型评估VOI的替代数据集。我们的研究结果表明,试验规模的减少范围为0%到43%,具体取决于整体生存率的审查数量。评估表明,使用大数据存储库来加速患者累积以进行临床试验研究的能力,该大数据存储库存储有关纳入/排除标准的数据以及对护理标准治疗的反应,表明在减少实现相似最终结果所需的受试者数量方面,已有了显着改善使用有限数量的参数和OS简化模型的VOI分析。

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