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Background: The use of estimands in clinical trials was formalised with the adoption of the final International Conference on Harmonisation E9 Addendum on Estimands and Sensitivity Analysis in Clinical Trials (ICH E9(R1) Addendum) in November 2019. The declared objective of the ICH E9(R1) Addendum is to bring clarity and transparency to the research question of interest. For this to be achieved, the estimand must be described in accordance with the requirements of the ICH E9(R1) Addendum so that the target treatment effect is clear to all stakeholders. Previous reviews of publications and published protocols have found that few trials explicitly defined the primary estimand. To obtain a more complete picture of how the use of estimands has changed over time, whether trials are using estimands correctly (i.e. correctly defining the five attributes of an estimand), and which strategies are being used to handle intercurrent events, we obtained access to an extensive database of original research protocols (n = 29,212) submitted to the United Kingdom's Health Research Authority, which oversees ethical review of clinical trials.
Methods: Protocols were eligible for review if they included the term 'estimand' and attempted to define at least one attribute of the primary estimand. For eligible protocols, we extracted information on trial characteristics such as whether the trial was randomized and the therapeutic area, as well as whether the estimand attributes used for the primary outcome were correctly defined, and which strategies were used to handle intercurrent events.
Results: We found that the number of protocols defining a primary estimand increased starkly with publication of the ICH E9(R1) Addendum (approximately 3 protocols/year pre-ICH E9(R1) Addendum vs. 18 protocols / year during the consultation period vs. 23 protocols in the year following the adoption of the ICH E9(R1) Addendum). However, the description of the primary estimand was suboptimal; many protocols failed to mention specific attributes (such as population or treatment conditions) in the estimand description, and many protocols incorrectly defined estimand attributes (e.g. by describing the estimand population based on their analysis population).
Conclusions: Although release of the ICH E9(R1) Addendum has dramatically increased the use of estimands in clinical trials, their reporting is suboptimal. There is still work to be done to ensure estimands reach their full potential in bringing clarity and focus to research questions.
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http://dx.doi.org/10.1186/s13063-025-08991-8 | DOI Listing |
Trials
August 2025
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, 90 High Holborn, 2 Floor, London, WC1V 6LJ, UK.
Background: The use of estimands in clinical trials was formalised with the adoption of the final International Conference on Harmonisation E9 Addendum on Estimands and Sensitivity Analysis in Clinical Trials (ICH E9(R1) Addendum) in November 2019. The declared objective of the ICH E9(R1) Addendum is to bring clarity and transparency to the research question of interest. For this to be achieved, the estimand must be described in accordance with the requirements of the ICH E9(R1) Addendum so that the target treatment effect is clear to all stakeholders.
View Article and Find Full Text PDFNPJ Digit Med
August 2025
German Center for Mental Health (DZPG), partner site Berlin-Potsdam, Berlin-Potsdam, Germany.
The ICH E9(R1) Addendum on Estimands and Sensitivity Analysis provides a framework for defining the treatment effect a trial intends to estimate-the estimand. The addendum is widely adopted in pharmaceutical research. However, it remains underutilized in trials investigating internet-based interventions (IBIs).
View Article and Find Full Text PDFContemp Clin Trials
September 2025
HUTCHMED International Corporation, 25A Vreeland Road, Suite 304 Florham Park, NJ 07932, USA.
Estimands, introduced in the ICH E9(R1) Addendum, are deeply rooted in the causal inference framework, its widespread implementation and the engagement of functional stakeholders in a clinical trial are in progress. Nevertheless, communicating the estimands to various stakeholders in an easy-to-understand way poses some challenges, the tools used in the causal inference such as counterfactual outcome, directed acyclic graph (DAG), and single-world intervention graph (SWIG) have started to play a valuable role in defining, identifying, and communicating estimands across functional stakeholders. However, a pragmatic question remains: what type of (treatment) effect that the estimand is endeavoring to estimate in handling an intercurrent event? The causal mediation framework sheds light on establishing the connection between estimand and type of effect, and provides an instructively streamlined decision workflow to select the proper analysis strategy for an interested ICE.
View Article and Find Full Text PDFTrials
July 2025
Clinical Development, Operations and Medical Writing, Bayer Oy, Finland.
Reports of the results of clinical studies are integral to regulatory decision making. They are used to support marketing authorization, to substantiate labeling information, and to inform academic publications, trial postings, and promotional messages intended to communicate study results to doctors and patients. Therefore, beyond summarizing the study design, methods, and data, study reports should provide clear descriptions of the benefits and risks of an intervention for a given medical condition.
View Article and Find Full Text PDFBackground: Estimands are increasingly used in randomised trials to clarify research objectives. The ICH E9(R1) addendum sets out five attributes necessary to describe a well-defined estimand. However, the addendum was primarily developed for individually randomised trials.
View Article and Find Full Text PDF