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本文引用的文献

1
Adjusting overall survival for treatment switches: commonly used methods and practical application.针对治疗转换调整总生存期:常用方法及实际应用
Pharm Stat. 2013 Nov-Dec;12(6):348-57. doi: 10.1002/pst.1602. Epub 2013 Oct 18.
2
Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.评估随机对照试验中处理转换的方法:一项模拟研究。
BMC Med Res Methodol. 2011 Jan 11;11:4. doi: 10.1186/1471-2288-11-4.
3
Change in vascular access and mortality in maintenance hemodialysis patients.维持性血液透析患者血管通路的变化与死亡率
Am J Kidney Dis. 2009 Nov;54(5):912-21. doi: 10.1053/j.ajkd.2009.07.008. Epub 2009 Sep 12.
4
Conversion of vascular access type among incident hemodialysis patients: description and association with mortality.新接受血液透析患者的血管通路类型转换:描述及其与死亡率的关联
Am J Kidney Dis. 2009 May;53(5):804-14. doi: 10.1053/j.ajkd.2008.11.031. Epub 2009 Mar 5.
5
Impact of switch of vascular access type on key clinical and laboratory parameters in chronic haemodialysis patients.血管通路类型转换对慢性血液透析患者关键临床和实验室参数的影响。
Nephrol Dial Transplant. 2009 Jul;24(7):2194-200. doi: 10.1093/ndt/gfp052. Epub 2009 Feb 19.
6
Effect of change in vascular access on patient mortality in hemodialysis patients.血管通路改变对血液透析患者死亡率的影响。
Am J Kidney Dis. 2006 Mar;47(3):469-77. doi: 10.1053/j.ajkd.2005.11.023.
7
Statistical inference for cancer trials with treatment switching.针对存在治疗方案转换情况的癌症试验的统计推断。
Stat Med. 2005 Jun 30;24(12):1783-90. doi: 10.1002/sim.2128.
8
Type of vascular access and survival among incident hemodialysis patients: the Choices for Healthy Outcomes in Caring for ESRD (CHOICE) Study.新接受血液透析患者的血管通路类型与生存率:关爱终末期肾病患者健康结局的选择(CHOICE)研究
J Am Soc Nephrol. 2005 May;16(5):1449-55. doi: 10.1681/ASN.2004090748. Epub 2005 Mar 23.
9
Estimating a treatment effect in survival studies in which patients switch treatment.在患者更换治疗方案的生存研究中估计治疗效果。
Stat Med. 2002 Sep 15;21(17):2449-63. doi: 10.1002/sim.1219.

使用加速失效时间模型估计时变治疗转换效应及其在血液透析血管通路中的应用

Estimating Time-Varying Treatment Switching Effect Using Accelerated Failure Time Model with Application to Vascular Access for Hemodialysis.

作者信息

Chu Fang-I, Wang Yuedong

机构信息

Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, US.

Department of Statistics and Applied Probability, University of California, Santa Barbara, Santa Barbara, CA, US.

出版信息

Commun Stat Theory Methods. 2023;52(15):5145-5154. doi: 10.1080/03610926.2021.2004423. Epub 2021 Nov 30.

DOI:10.1080/03610926.2021.2004423
PMID:37588769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10427130/
Abstract

Vascular access for hemodialysis is of paramount importance. Although studies have found that central venous catheter (CVC) is often associated with poor outcomes and switching to arteriovenous fistula (AVF) and arteriovenous grafts (AVG) is beneficial, it has not been fully elucidated how the effect of switching of access on outcomes changes over time and whether the effect depends on switching time. In this paper we propose to relate the observed survival time for patients without access change and the counterfactual time for patients with access change using an AFT model with time-varying effects. The flexibility of AFT model allows us to account for baseline effect and the prognostic effect from covariates at access change while estimating the effect of access change. The effect of access change overtime is modeled nonparametrically using a cubic spline function. Simulation studies show excellent performance. Our methods are applied to investigate the effect of vascular access change over time in dialysis patients. It is concluded that the benefit of switching from CVC to AVG depends on the time of switching, the sooner the better.

摘要

血液透析的血管通路至关重要。尽管研究发现中心静脉导管(CVC)常常与不良预后相关,且转为动静脉内瘘(AVF)和动静脉移植物(AVG)有益,但接入方式转换对预后的影响如何随时间变化以及这种影响是否取决于转换时间尚未完全阐明。在本文中,我们建议使用具有时变效应的加速失效时间(AFT)模型,将未改变接入方式患者的观察生存时间与改变接入方式患者的反事实时间联系起来。AFT模型的灵活性使我们在估计接入方式改变的影响时,能够考虑基线效应以及接入方式改变时协变量的预后效应。接入方式随时间的变化效应使用三次样条函数进行非参数建模。模拟研究显示出良好的性能。我们的方法被应用于研究透析患者血管通路随时间的变化效应。得出的结论是,从CVC转换为AVG的益处取决于转换时间,越早越好。