Brufsky Adam, Cheung Winson, Ryan Joanne C
UPMC Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Oncol Ther. 2025 Sep 11. doi: 10.1007/s40487-025-00366-y.
Real-world studies have become more common in clinical literature in recent years, but many clinicians remain unfamiliar with real-world study design and statistical approaches. This vodcast intends to be a practical guide for clinicians by clarifying aspects of real-world study methodology. As both practicing oncologists and researchers with extensive real-world data experience, the hosts discuss types of study designs and real-world data source considerations. An overview of statistical techniques for mitigating treatment-selection bias is also provided, including propensity score matching, inverse probability of treatment weighting, and multivariable analysis. By combining high-quality data sources, careful sample size considerations, and rigorous statistical techniques, real-world studies can offer valuable insights into therapeutic effectiveness in routine clinical practice that supplement learnings from randomized clinical trials. This vodcast is designed to equip clinicians with the knowledge to critically evaluate real-world evidence and potentially apply it to their practice.Vodcast and infographic available for this article. Vodcast (MP4 1207725 KB) INFOGRAPHIC.
近年来，真实世界研究在临床文献中变得越来越普遍，但许多临床医生仍然不熟悉真实世界研究设计和统计方法。本视频播客旨在通过阐明真实世界研究方法的各个方面，为临床医生提供一份实用指南。作为既有丰富真实世界数据经验的执业肿瘤学家又身为研究人员，主持人讨论了研究设计类型和真实世界数据源考量因素。还提供了减轻治疗选择偏倚的统计技术概述，包括倾向得分匹配、治疗权重逆概率和多变量分析。通过结合高质量数据源、仔细考虑样本量以及采用严格的统计技术，真实世界研究可以为常规临床实践中的治疗效果提供有价值的见解，以补充从随机临床试验中获得的知识。本视频播客旨在让临床医生具备批判性评估真实世界证据并可能将其应用于实践的知识。本文提供视频播客和信息图表。视频播客（MP4 1207725 KB）信息图表
