Marking 2-Years of New Thinking in Clinical Trials: The Estimand Journey

被引:12
|
作者
Fletcher, C. [1 ]
Hefting, N. [2 ]
Wright, M. [3 ]
Bell, J. [4 ]
Anzures-Cabrera, J. [5 ]
Wright, D. [6 ]
Lynggaard, H. [7 ]
Schueler, A. [8 ]
机构
[1] GlaxoSmithKline Plc, Biostat, Stevenage, Herts, England
[2] H Lundbeck & Co AS, Clin Dev, Psychiat, Valby, Denmark
[3] Novartis Pharma AG, Analyt, Basel, Switzerland
[4] Elderbrook Solut GmbH, Clin Operat, High Wycombe, Bucks, England
[5] Roche Prod Ltd, Data Sci, Welywn Garden City, England
[6] AstraZeneca, Stat Innovat, BioPharma R&D, DS&AI, Cambridge, England
[7] Novo Nordisk AS, Biostat, Data Sci, Bagsvaerd, Denmark
[8] Merck Healthcare KGaA, Biostat Epidemiol & Med Writing, Darmstadt, Germany
关键词
ICH E9(R1); Estimands; Implementation; Clinical trials; Treatment effects; Intercurrent events; Analysis methods; ITT; Missing data; Sensitivity analyses; Per-protocol; MISSING DATA;
D O I
10.1007/s43441-022-00402-3
中图分类号
R-058 [];
学科分类号
摘要
The ICH E9(R1) addendum on Estimands and Sensitivity Analyses in Clinical Trials has introduced a new estimand framework for the design, conduct, analysis, and interpretation of clinical trials. We share Pharmaceutical Industry experiences of implementing the estimand framework in the first two years since the final guidance became available with key lessons learned and highlight what else needs to be done to continue the journey in embedding the estimand framework in clinical trials. Emerging best practices and points to consider on strategies for implementing a new estimand thinking process are provided. Whilst much of the focus of implementing ICH E9(R1) to date has been on defining estimands, we highlight some of the important aspects relating to the choice of statistical analysis methods and sensitivity analyses to ensure estimands can be estimated robustly with minimal bias. In particular, we discuss the implications if complete follow-up is not possible when the treatment policy strategy is being used to handle intercurrent events. ICH E9(R1) was introduced just before the start of the COVID-19 pandemic, but a positive outcome from the pandemic has been an acceleration in the adoption of the estimand framework, including differentiating intercurrent events related or not related to the pandemic. In summary, much has been learned on the estimand journey and continued sharing of case studies will help to further advance the understanding and increase awareness across all clinical researchers of the estimand framework.
引用
收藏
页码:637 / 650
页数:14
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