Application of the Estimand Framework to Anesthesia Trials

Author:

De Silva Anurika P.1,Leslie Kate2ORCID,Braat Sabine3,Grobler Anneke C.4

Affiliation:

1. 1Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia; Methods and Implementation Support for Clinical and Health (MISCH) research Hub, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.

2. 2Department of Critical Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia; Department of Anaesthesia and Pain Management, Royal Melbourne Hospital, Melbourne, Australia.

3. 3Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia; Methods and Implementation Support for Clinical and Health (MISCH) research, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.

4. 4Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Australia; Murdoch Children’s Research Institute, Melbourne, Australia.

Abstract

SUMMARY Events occurring after randomization, such as use of rescue medication, treatment discontinuation, or death, are common in randomized trials. These events can change either the existence or interpretation of the outcome of interest. However, appropriate handling of these intercurrent events is often unclear. The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) E9(R1) addendum introduced the estimand framework, which aligns trial objectives with the design, conduct, statistical analysis, and interpretation of results. This article describes how the estimand framework can be used in anesthesia trials to precisely define the treatment effect to be estimated, key attributes of an estimand, common intercurrent events in anesthesia trials with strategies for handling them, and use of the estimand framework in a hypothetical anesthesia trial on postoperative delirium. When planning anesthesia trials, clearly defining the estimand is vital to ensure that what is being estimated is clearly understood, is clinically relevant, and helps answer the clinical questions of interest.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference31 articles.

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