Adjusted Survival Curves Improve Understanding of Multivariable Cox Model Results

被引：7

作者：

Lundgreen, Carly S. ^{[1
]}

Larson, Dirk R. ^{[1
]}

Atkinson, Elizabeth J. ^{[1
]}

Devick, Katrina L. ^{[2
]}

Lewallen, David G. ^{[3
]}

Berry, Daniel J. ^{[3
]}

Kremers, Hilal Maradit ^{[1
,3
]}

Crowson, Cynthia S. ^{[1
,4
]}

机构：

[1] Mayo Clin, Dept Quantitat Hlth Sci, Rochester, MN 55905 USA

[2] Mayo Clin, Dept Quantitat Hlth Sci, Scottsdale, AZ USA

[3] Mayo Clin, Dept Orthoped Surg, Rochester, MN 55905 USA

[4] Mayo Clin, Div Rheumatol, Rochester, MN 55905 USA

来源：

JOURNAL OF ARTHROPLASTY | 2021年 / 36卷 / 10期

关键词：

survival analysis; total joint arthroplasty; survival curves; Cox model; confounding;

D O I：

10.1016/j.arth.2021.06.002

中图分类号：

R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];

学科分类号：

摘要：

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 following https://youtu.be/ys0hy2CiMCA fora video that explains the highlights of the paper in practical terms. (c) 2021 Elsevier Inc. All rights reserved.

引用

页码：3367 / 3371

页数：5

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