Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ.
J Arthroplasty. 2021 Oct;36(10):3367-3371. doi: 10.1016/j.arth.2021.06.002. Epub 2021 Jun 30.
Kaplan-Meier survival curves are the most common methods for unadjusted group comparison of outcomes in orthopedic research. However, they may be misleading due to an imbalance of confounders between patient groups. The Cox model is frequently used to adjust for confounders, but graphical display of adjusted survival curves is not commonly utilized. We describe the circumstances when adjusted survival curves are useful in orthopedic research, describe and use 2 different methods to obtain adjusted curves, and illustrate how they can improve understanding of the multivariable Cox model results. We further provide practical strategies for identifying the need for and performing adjusted survival curves. Please visit the followinghttps://youtu.be/ys0hy2CiMCAfor a video that explains the highlights of the paper in practical terms.
Kaplan-Meier 生存曲线是骨科研究中未调整组间结果比较的最常用方法。然而，由于患者组之间混杂因素的不平衡，它们可能会产生误导。Cox 模型常用于调整混杂因素，但调整后的生存曲线的图形显示并不常用。我们描述了在骨科研究中调整后的生存曲线有用的情况，描述并使用了 2 种不同的方法来获得调整后的曲线，并说明了它们如何提高对多变量 Cox 模型结果的理解。我们进一步提供了用于确定和执行调整后生存曲线的实际策略。请访问以下链接：https://youtu.be/ys0hy2CiMCA，以获取以实际术语解释本文要点的视频。
