本研究为叙述性综述,研究人员系统梳理了RS在心血管领域应用的现有证据与监管动态,涵盖:①对适应性试验(Adaptive trial)、去中心化临床试验(Decentralized Clinical Trial, DCT)、贝叶斯统计(Bayesian statistics)及倾向评分(propensity score)匹配结合真实世界证据(Real-World Evidence, RWE)等方法学 rigor 的评估;②利用预测分析及人工智能(Artificial Intelligence, AI)模型、数字孪生(digital twin)技术优化受试者筛选与匹配的探讨;③对学术共识项目[如Academic Research Consortium(ARC)冠脉支架终点定义、全球心肌梗死(Global MI)工作组通用定义、Standardized Data Collection for Cardiovascular Trials Initiative(SCTI)]及替代终点验证路径[Drug/Medical Device Development Tool(DDT/DQ)资格认定]的分析;④对利用机器学习结合医保理赔、电子健康档案(Electronic Health Record, EHR)及登记数据库开展主动药物警戒(pharmacovigilance)的评述;⑤对国际人用药品注册技术要求协调会(International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use, ICH)及国际医疗器械监管者论坛(International Medical Device Regulators Forum, IMDRF)协调工作的梳理。
三、研究结果(按原文结构总结)
Innovation in Trial Design and Biostatistics May Sometimes Outpace Regulatory Adoption(试验设计与生物统计学创新有时超前于监管采纳)
传统RCT存在实操局限,监管机构(美国FDA设Complex Innovative Trial Design(CID)配对会议项目、欧洲EMA通过Committee for Medicinal Products for Human Use(CHMP)提供个例指导)虽鼓励新颖设计,但个案审批引入不确定性与不透明。研究人员指出RS需评估适应性试验、DCT等设计的统计学效度与可行性,明确适用场景与禁用情形,为形成清晰一致的监管指南奠定证据基础。
Adaptive Trials, Bayesian Methods, and Real-World Evidence(适应性试验、贝叶斯方法及真实世界证据)
Post-Marketing Surveillance and Safety Signal Detection(上市后监测与安全性信号识别)
上市前研究样本有限、随访短且人群受限,IV期期上市后研究(Phase IV post-marketing surveillance study)不可或缺。RS倡导将机器学习平台与RWE(理赔、登记库、EHR)结合进行主动监测以加速新发安全信号侦测,评估直接患者上报不良事件及现代化目标登记库设计,在降资源消耗同时保数据可靠性,并监控新产品真实世界使用模式。
Policy Impact Assessment and Regulatory Communication(政策影响评估与监管沟通)
跨国多中心试验的种族代表性不足及各国监管能力差异阻碍协调。ICH与IMDRF(针对器械含体外诊断In Vitro Diagnostic, IVD及软件即医疗器械Software as a Medical Device, SaMD)在RS产出的证据与共识基础上推进技术标准趋同;虽完全统一困难,但通过RS推动循证标准与科学原则实现监管实践更大程度收敛是现实可达目标。
(原文Conclusion段浓缩意译:Regulatory science plays a pivotal role in bridging the gap between cardiovascular research innovation and patient access to effective therapies. RS helps provide the evidentiary support to improve the regulatory adoption of innovative trial designs, precision medicine strategies, and robust validation of biomarkers and surrogate endpoints. Additionally, RS optimizes post-marketing surveillance by leveraging real-world evidence and advanced analytical technologies to enhance patient safety. Continued investment in RS is essential for improving patient outcomes in cardiovascular medicine by safeguarding safety while accelerating innovation and access to therapies.)