RD-LIVES:罕见病治疗疗效和安全性的活证据合成系统。

Jinlian Wang, Hui Li, Hongfang Liu
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引用次数: 0

摘要

尽管罕见病(RD)在全球卫生保健领域日益受到重视,但由于现有证据有限,制定在公共环境中研究罕见病的研究政策仍然具有挑战性。证据生成对罕见病至关重要,需要对多个来源的研究质量进行系统评估。鉴于孤儿药患者、文献和临床试验数据的稀缺性,我们开发了rd - livess工具,旨在自动加速从文献和临床试验中收集证据,用于系统评价和荟萃分析。该工具增强了我们对治疗结果的理解,确定了适当的随访时间,并告知了新药所需的治疗影响大小。以特发性肺纤维化(IPF)为例,我们演示了RD-LIVES如何自动化证据收集和元素提取。结果表明,RD-LIVES在设计昂贵的前瞻性试验中起着至关重要的作用,并有可能增加试验结果成功的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RD-LIVES: A Living Evidence Synthesis System for Rare Disease Treatment Efficacy and Safety.

Although rare diseases (RD) are gaining priority in healthcare worldwide, developing research policies for studying them in public settings remains challenging due to the limited evidence available. Evidence generation is crucial for rare diseases, requiring systematic assessment of study quality across multiple sources. Given the scarcity of patients, literature and clinical trial data for orphan drugs, we developed RD-LIVES-a tool designed to automatically accelerate evidence collection from literature and clinical trials for systematic reviews and meta-analyses. This tool enhances our understanding of treatment outcomes, determines appropriate follow-up durations, and informs the required treatment impact size for new drugs. Using Idiopathic Pulmonary Fibrosis (IPF) as an example, we demonstrate how RD-LIVES automates evidence collection and element extraction. The results indicate that RD-LIVES plays a vital role in designing costly prospective trials and has the potential to increase the likelihood of successful trial outcomes.

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