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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. The ICH E9(R1) addendum on estimands and sensitivity analysis in clinical trials provides a framework aiming for more clarity about the reported "treatment effects." In practice, stakeholders are still learning how to embrace the estimand framework and how it impacts the reporting of study results in the most value-adding manner. This paper provides recommendations and considerations for implementing the estimand framework in the reporting of results to realize its full potential of increased transparency for interpretation and decision-making. These recommendations are based on practical experiences of working with clinical trial teams through the reporting process following implementation of the estimand framework in the protocol. As illustrated by two case studies, the primary application is in reporting studies for the scientific evaluation of medicines by regulatory agencies, directly impacting clinical study reports and submission documents, and will also extend to publications in scientific journals.
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http://dx.doi.org/10.1186/s13063-025-08915-6 | DOI Listing |
Biom J
October 2025
Novella Clinical Full Service, IQVIA, Melbourne, Australia.
Phase I dose escalation trials in oncology generally aim to find the maximum tolerated dose. However, with the advent of molecular-targeted therapies and antibody drug conjugates, dose-limiting toxicities are less frequently observed, giving rise to the concept of optimal biological dose (OBD), which considers both efficacy and toxicity. The estimand framework presented in the addendum of the ICH E9(R1) guidelines strengthens the dialogue between different stakeholders by bringing in greater clarity in the clinical trial objectives and by providing alignment between the targeted estimand under consideration and the statistical analysis methods.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Department of Human Behaviour, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
A major goal of behavioural ecology is to explain how phenotypic and ecological factors shape the networks of social relationships that animals form with one another. This inferential task is notoriously challenging. The social networks of interest are generally not observed, but must be approximated from behavioural samples.
View Article and Find Full Text PDFClin Transl Sci
September 2025
Food and Drug Administration, Silver Spring, Maryland, USA.
Since the first decentralized clinical trial (DCT) was conducted in 2011, there has been an increased usage of DCT due to its benefits of patient-centricity and generalizability of findings. This trend was further expedited by the global COVID-19 pandemic. We identified 23 case studies across various therapeutic areas and grouped them into different categories according to their purposes-by necessity, for operational benefits, to address unique research questions, to validate innovative digital endpoints, or to validate decentralization as a clinical research platform.
View Article and Find Full Text PDFVaccine
September 2025
Pfizer Canada, Kirkland, Quebec, Canada.
The estimand framework as outlined in ICH E9(R1) has been extensively discussed and implemented in clinical trials of therapeutic products. However, there is limited literature on the application of the framework in preventive vaccine trials, which has many unique characteristics, including emphasis on estimating the per-protocol or "biological" effect. We provide a comprehensive review of the application of the framework to preventive vaccine trials evaluating clinical outcome and immunogenicity, focusing on commonly encountered intercurrent events including but not limited to: noncompliance with vaccination schedule and blood sampling window, infection not meeting protocol definition, death, and use of prohibited products.
View Article and Find Full Text PDFBMJ
September 2025
Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
Importance: When randomized trials are unavailable or not feasible, observational studies can be used to answer causal questions about the comparative effects of interventions by attempting to emulate a hypothetical pragmatic randomized trial (target trial). Published guidance to aid reporting of these studies is not available.
Objective: To develop consensus based guidance for reporting observational studies performed to estimate causal effects by explicitly emulating a target trial.