估算最佳动态抗精神病治疗方案：来自序贯多重分配随机化CATIE精神分裂症研究的证据。
Estimating the optimal dynamic antipsychotic treatment regime: Evidence from the sequential multiple assignment randomized CATIE Schizophrenia Study.
作者信息
Shortreed Susan M, Moodie Erica E M
机构信息
McGill University, School of Computer Science; Group Health Research Institute, Biostatistics Unit.
出版信息
J R Stat Soc Ser C Appl Stat. 2012 Aug 1;61(4):577-599. doi: 10.1111/j.1467-9876.2012.01041.x. Epub 2012 May 31.
Abstract
Treatment of schizophrenia is notoriously difficult and typically requires personalized adaption of treatment due to lack of efficacy of treatment, poor adherence, or intolerable side effects. The Clinical Antipsychotic Trials in Intervention Effectiveness (CATIE) Schizophrenia Study is a sequential multiple assignment randomized trial comparing the typical antipsychotic medication, perphenazine, to several newer atypical antipsychotics. This paper describes the marginal structural modeling method for estimating optimal dynamic treatment regimes and applies the approach to the CATIE Schizophrenia Study. Missing data and valid estimation of confidence intervals are also addressed.
摘要
精神分裂症的治疗 notoriously difficult，由于治疗效果不佳、依从性差或副作用难以忍受，通常需要进行个性化的治疗调整。干预有效性临床抗精神病药物试验（CATIE）精神分裂症研究是一项序贯多重分配随机试验，将典型抗精神病药物奋乃静与几种新型非典型抗精神病药物进行比较。本文描述了用于估计最佳动态治疗方案的边际结构建模方法，并将该方法应用于CATIE精神分裂症研究。还讨论了缺失数据和置信区间的有效估计问题。
相似文献
1
Estimating the optimal dynamic antipsychotic treatment regime: Evidence from the sequential multiple assignment randomized CATIE Schizophrenia Study.估算最佳动态抗精神病治疗方案：来自序贯多重分配随机化CATIE精神分裂症研究的证据。
J R Stat Soc Ser C Appl Stat. 2012 Aug 1;61(4):577-599. doi: 10.1111/j.1467-9876.2012.01041.x. Epub 2012 May 31.
2
Sequential Multiple-Assignment Randomized Trials to Compare Antipsychotic Treatments (SMART-CAT) in first-episode schizophrenia patients: Rationale and trial design.首发精神分裂症患者中比较抗精神病药物治疗的序贯多项适应性随机试验（SMART-CAT）：原理与试验设计。
Schizophr Res. 2021 Apr;230:87-94. doi: 10.1016/j.schres.2020.11.010. Epub 2020 Dec 2.
3
The CATIE and CUtLASS studies in schizophrenia: results and implications for clinicians.精神分裂症的CATIE和CUtLASS研究：结果及对临床医生的启示
CNS Drugs. 2009 Aug;23(8):649-59. doi: 10.2165/00023210-200923080-00002.
4
Metabolic findings from the CATIE trial and their relation to tolerability.CATIE试验的代谢结果及其与耐受性的关系。
CNS Spectr. 2006 Jul;11(7 Suppl 7):32-9. doi: 10.1017/s1092852900026663.
5
Understanding the results of CATIE in the context of the field.在该领域背景下理解CATIE的结果。
CNS Spectr. 2006 Jul;11(7 Suppl 7):40-7. doi: 10.1017/s1092852900026675.
6
The stable patient with schizophrenia--from antipsychotic effectiveness to adherence.病情稳定的精神分裂症患者——从抗精神病药物疗效到依从性
Eur Neuropsychopharmacol. 2007 Mar;17 Suppl 2:S115-22. doi: 10.1016/j.euroneuro.2007.02.003.
7
The National Institute of Mental Health Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) project: schizophrenia trial design and protocol development.美国国立精神卫生研究所临床抗精神病药物干预有效性试验（CATIE）项目：精神分裂症试验设计与方案制定
Schizophr Bull. 2003;29(1):15-31. doi: 10.1093/oxfordjournals.schbul.a006986.
8
Prognostic subgroups for remission, response, and treatment continuation in the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) trial.干预有效性临床抗精神病药物试验（CATIE）中缓解、反应和治疗持续的预后亚组。
J Clin Psychiatry. 2015 Nov;76(11):1535-45. doi: 10.4088/JCP.14m09320.
9
What CATIE found: results from the schizophrenia trial.CATIE的发现：精神分裂症试验的结果。
Psychiatr Serv. 2008 May;59(5):500-6. doi: 10.1176/ps.2008.59.5.500.
10
Discontinuing and switching antipsychotic medications: understanding the CATIE schizophrenia trial.停用和更换抗精神病药物：解读精神分裂症患者抗精神病药物治疗的临床抗精神病药物干预有效性试验（CATIE）
J Clin Psychiatry. 2007;68 Suppl 1:12-9.
引用本文的文献
1
Differentially Private Outcome-Weighted Learning for Optimal Dynamic Treatment Regime Estimation.用于最优动态治疗方案估计的差分隐私结果加权学习
Stat. 2024;13(1). doi: 10.1002/sta4.641. Epub 2024 Jan 17.
2
Using Pilot Data for Power Analysis of Observational Studies for the Estimation of Dynamic Treatment Regimes.利用试点数据进行观察性研究的功效分析以估计动态治疗方案
Obs Stud. 2023;9(4):25-48. doi: 10.1353/obs.2023.a906627.
3
Ranking tailoring variables for constructing individualized treatment rules: an application to schizophrenia.构建个体化治疗规则的排序调整变量：在精神分裂症中的应用
J R Stat Soc Ser C Appl Stat. 2022 Mar;71(2):309-330. doi: 10.1111/rssc.12533. Epub 2022 Mar 20.
4
Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms.高维离散结局个体化治疗规则中的变量选择：减轻抑郁症状严重程度。
Biostatistics. 2024 Jul 1;25(3):633-647. doi: 10.1093/biostatistics/kxad022.
5
Baseline data of a sequential multiple assignment randomized trial (STEP study).序贯多项分配随机试验（STEP 研究）的基线数据。
Early Interv Psychiatry. 2022 Oct;16(10):1130-1142. doi: 10.1111/eip.13263. Epub 2022 Jan 30.
6
Association between dynamic dose increases of buprenorphine for treatment of opioid use disorder and risk of relapse.美沙酮维持治疗期间动态增加丁丙诺啡剂量与复吸风险的关系。
Addiction. 2022 Mar;117(3):637-645. doi: 10.1111/add.15654. Epub 2021 Oct 1.
7
Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals.贝叶斯非参数策略搜索及其在牙周复查间隔中的应用
J Am Stat Assoc. 2020;115(531):1066-1078. doi: 10.1080/01621459.2019.1660169. Epub 2019 Oct 9.
8
SMART longitudinal analysis: A tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions.SMART 纵向分析：利用 SMART 研究中重复的结果测量指标来比较适应性干预的教程。
Psychol Methods. 2020 Feb;25(1):1-29. doi: 10.1037/met0000219. Epub 2019 Jul 18.
9
Diagnosing Covariate Balance Across Levels of Right-Censoring Before and After Application of Inverse-Probability-of-Censoring Weights.诊断右删失前后逆概率删失权重应用下协变量平衡情况。
Am J Epidemiol. 2019 Dec 31;188(12):2213-2221. doi: 10.1093/aje/kwz136.
10
Precision Medicine.精准医学
Annu Rev Stat Appl. 2019 Mar;6:263-286. doi: 10.1146/annurev-statistics-030718-105251.
本文引用的文献
1
When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data.何时开始治疗？一种使用观测数据比较动态机制的系统方法。
Int J Biostat. 2010;6(2):Article 18. doi: 10.2202/1557-4679.1212.
2
3
Optimal dynamic regimes: presenting a case for predictive inference.最优动态机制：为预测性推理提供实例
Int J Biostat. 2010 Mar 3;6(2):Article 10. doi: 10.2202/1557-4679.1204.
4
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part II: proofs of results.用于估计最优动态治疗方案的动态机制边际结构均值模型，第二部分：结果证明
Int J Biostat. 2010 Mar 3;6(2):Article 9. doi: 10.2202/1557-4679.1242.
5
Regret-regression for optimal dynamic treatment regimes.用于优化动态治疗方案的后悔回归法。
Biometrics. 2010 Dec;66(4):1192-201. doi: 10.1111/j.1541-0420.2009.01368.x.
6
The 2009 schizophrenia PORT psychopharmacological treatment recommendations and summary statements.2009 年精神分裂症 PORT 精神药理学治疗建议和总结陈述。
Schizophr Bull. 2010 Jan;36(1):71-93. doi: 10.1093/schbul/sbp116. Epub 2009 Dec 2.
7
Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification.纵向膳食数据中的缺失值：基于完全条件指定的多重插补方法。
Stat Med. 2009 Dec 20;28(29):3657-69. doi: 10.1002/sim.3731.
8
Inference for non-regular parameters in optimal dynamic treatment regimes.最优动态治疗方案中非正则参数的推断。
Stat Methods Med Res. 2010 Jun;19(3):317-43. doi: 10.1177/0962280209105013. Epub 2009 Jul 16.
9
Structural nested mean models for assessing time-varying effect moderation.用于评估时变效应调节的结构嵌套均值模型。
Biometrics. 2010 Mar;66(1):131-9. doi: 10.1111/j.1541-0420.2009.01238.x. Epub 2009 Apr 13.
10
Causal effect models for realistic individualized treatment and intention to treat rules.用于现实个体化治疗和意向性治疗规则的因果效应模型。
Int J Biostat. 2007;3(1):Article 3. doi: 10.2202/1557-4679.1022.
Zotero 插件