Department of Oncology, Karolinska University Hospital, Stockholm, Sweden.
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Future Oncol. 2019 May;15(14):1551-1563. doi: 10.2217/fon-2019-0025. Epub 2019 Mar 11.
To describe I-O Optimise, a multinational program providing real-world insights into lung cancer management. Real-world data source selection for I-O Optimise followed a structured approach focused on population coverage, key variable capture, continuous/consistent data availability, record duration and data latency, and database expertise. As of 31 October 2018, seven real-world data sources were included in I-O Optimise, providing data on characteristics, treatment patterns and clinical outcomes from more than 45,000 patients/year with non-small-cell lung cancer, small-cell lung cancer and mesothelioma across Denmark, Norway, Portugal, Spain, Sweden and the UK. The ongoing I-O Optimise initiative has the potential to provide a broad, robust and dynamic research platform to continually address numerous research objectives in the lung cancer arena.
描述 I-O Optimise，一个提供肺癌管理的真实世界洞察的跨国项目。I-O Optimise 的真实世界数据源选择遵循了一种结构化的方法，重点是人口覆盖范围、关键变量捕获、持续/一致的数据可用性、记录持续时间和数据延迟以及数据库专业知识。截至 2018 年 10 月 31 日，I-O Optimise 中包含了七个真实世界数据源，提供了来自丹麦、挪威、葡萄牙、西班牙、瑞典和英国的超过 45000 例非小细胞肺癌、小细胞肺癌和间皮瘤患者/年的特征、治疗模式和临床结果数据。正在进行的 I-O Optimise 计划有可能提供一个广泛、稳健和动态的研究平台，不断解决肺癌领域的众多研究目标。
