The delayed and incomplete availability of historical findings and the lack of integrative and user-friendly software hampers the reliable interpretation of new clinical data. We developed a free, open, and user-friendly clinical trial aggregation program combining a large and representative sample of existing trial data with the latest classical and Bayesian meta-analytical models, including clear output visualizations. Our software is of particular interest for (post-graduate) educational programs (e.g., medicine, epidemiology) and global health initiatives. We demonstrate the database, interface, and plot functionality with a recent randomized controlled trial on effective epileptic seizure reduction in children treated for a parasitic brain infection. The single trial data is placed into context and we show how to interpret new results against existing knowledge instantaneously. Our program is of particular interest to those working on the contextualizing of medical findings. It may facilitate the advancement of global clinical progress as efficiently and openly as possible and simulate further bridging clinical data with the latest biostatistical models.

翻译：历史研究结果的延迟和不完整可获得性，以及缺乏集成化且用户友好的软件，阻碍了对新临床数据的可靠解读。我们开发了一款免费、开放且用户友好的临床试验聚合程序，该程序将大规模且具有代表性的现有试验数据与最新的经典及贝叶斯元分析模型相结合，并包含清晰的输出可视化功能。该软件尤其适用于（研究生）教育项目（如医学、流行病学）及全球健康倡议。我们通过一项关于儿童寄生虫性脑感染治疗中有效减少癫痫发作的最新随机对照试验，展示了数据库、界面及绘图功能。这一单一试验数据被置于背景中，我们展示了如何即时将新结果与已有知识进行对比解读。我们的程序对从事医学发现背景化工作的人员尤为重要，它有望以尽可能高效和开放的方式促进全球临床进展，并进一步推动临床数据与最新生物统计模型的结合。