Defining estimands for efficacy assessment in single arm phase 1b or phase 2 clinical trials in oncology early development

Author:

Englert Stefan1ORCID,Mercier François2ORCID,Pilling Elizabeth A.3,Homer Victoria4,Habermehl Christina5,Zimmermann Stefan6,Kan‐Dobrosky Natalia7

Affiliation:

1. Statistical Modeling & Methodology, Janssen R&D Janssen‐Cilag GmbH Neuss Germany

2. Biostatistics, Roche Innovation Center Basel F Hoffmann‐La Roche AG Basel Switzerland

3. Early Biometrics AstraZeneca Cambridge UK

4. Cancer Research (UK) Clinical Trials Unit University of Birmingham Birmingham UK

5. Global Biostatistics The healthcare Business of Merck KgaA Darmstadt Germany

6. Early Clinical Development Oncology Roche Innovation Center Zurich, F. Hoffmann‐La Roche AG Basel Switzerland

7. Statistical Science, PPD Part of Thermo Fisher Scientific Wilmington North Carolina USA

Abstract

AbstractThe addendum of the ICH E9 guideline on the statistical principles for clinical trials introduced the estimand framework. The framework is designed to strengthen the dialog between different stakeholders, to introduce greater clarity in the clinical trial objectives and to provide alignment between the estimand and statistical analysis. Estimand framework related publications thus far have mainly focused on randomized clinical trials. The intention of the Early Development Estimand Nexus (EDEN), a task force of the cross‐industry Oncology Estimand Working Group (www.oncoestimand.org), is to apply it to single arms Phase 1b or Phase 2 trials designed to detect a treatment‐related efficacy signal, typically measured by objective response rate. Key recommendations regarding the estimand attributes include that in a single arm early clinical trial, the treatment attribute should start when the first dose is received by the participant. Focusing on the estimation of an absolute effect, the population‐level summary measure should reflect only the property used for the estimation. Another major component introduced in the ICH E9 addendum is the definition of intercurrent events and the associated possible ways to handle them. Different strategies reflect different clinical questions of interest that can be answered based on the journeys an individual subject can take during a trial. We provide detailed strategy recommendations for intercurrent events typically seen in early‐stage oncology. We highlight where implicit assumptions should be made transparent as whenever follow‐up is suspended, a while‐on‐treatment strategy is implied.

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Reference30 articles.

1. International Council for Harmonisation of Technical Requirements for Human USE (ICH).E9 (R1) addendum on estimands and sensitivity analysis in clinical trials to the guideline on statistical principles for clinical trials.https://database.ich.org/sites/default/files/E9-R1_Step4_Guideline_2019_1203.pdf

2. Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice

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5. Estimands and Complex Innovative Designs

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