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Updated: Jan 31, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Practical risk management in early phase clinical trials
Simon Coates1, Jörg Täubel2,3, Ulrike Lorch2
1Richmond Pharmacology, St George's University, Cranmer Terrace, London, SW17 0RE, UK. s.coates@richmondpharmacology.com.
Purpose:
Stopping rules are an essential part of risk management in early phase clinical trials. As well as being necessary for ensuring the safety of participants on clinical trials, they are also a requirement under the revision to the European Medicine Agency's first-in-human and early clinical trial guideline. The increasing complexity and size of modern trial designs (e.g. integrated trials) raise potential issues with risk management, which, if also too complex, presents challenges for both regulators and investigators to implement. Therefore, there is a clear need for a standard, template, or algorithm-based approach to risk management, in particular rules concerning adverse reactions. The purpose of this manuscript is to present template stopping (or adverse reaction, AR) rules that fulfil regulatory requirements and that can be adapted, taking into account trial design, nature of the investigational medicinal product, and anticipated effects.
Methods:
The template AR rules that use a systematic, objective and consistent process were developed, taking into account severity (using an objective grading system), seriousness, frequency and reversibility of ARs. These rules control decisions relating to individual trial participants, dosing regimens and dose escalation and/or progression to successive trial parts. For ease of use, the template rules consist of a single, one-page table.
Results:
The template AR rules have been successfully applied to many early phase adaptive integrated trials that received regulatory authorisation and were performed in the UK. This manuscript presents the template rule table and case studies of some trial-specific adaptations.
Conclusions:
This work demonstrates how a systematic, objective and consistent approach to risk management of large integrated trials can be simple yet robust, facilitating effective decision making and trial progression whilst safeguarding participant safety.
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