Decrypting SDTM Trial Design Datasets for Complex Study ...

1 PhUSE 2017 1 Paper DS04 Decrypting sdtm Trial Design Datasets for Complex Study Designs Charumathy Sreeraman, Ephicacy Lifescience Analytics, Bangalore, India ABSTRACT In recent years, increasing number of intervention studies are conducted using various Trial designs to minimize cost, time and failure rates, thus enhancing the efficiency of clinical Trial conduct. Complexity levels of Trial Design change based on the strategy of the Study . A clinical Study can follow multiple masking techniques and/or multiple interventions based on conditional treatment assignment by re-randomization (based on the outcome of the preceding period of the Study ).

2 The Trial Design Model (TDM) in the sdtm provides a standardized way to describe the features of a clinical Trial . Creating Trial Design Datasets for Complex Study designs can be challenging in terms of data presentation because, it requires inferring from the protocol and cannot be created from the electronic data. Through relevant case studies this paper will present some of the possible permutations and combinations in creating, sdtm Trial Design Datasets for Complex Study designs. INTRODUCTION The objective of most clinical trials is to estimate the magnitude of treatment effects or estimate differences in treatment effects.

3 Precise statements about observed treatment effects are dependent on a Study Design that allows the treatment effect to be sorted out from person-to-person variability in response. An accurate estimate requires a Study Design that minimizes bias. The Design of the clinical Trial / Trial Design of clinical studies is the plan for what assessments will be conducted to the subjects and what data/type of data to be collected to address the Trial s objective in analysis perceptive. The purpose of Trial Design domains is to provide the standardized description of overall plan and Design of the clinical Study retrospectively from the protocol in the data form.

4 These Datasets should enable quick familiarization with the clinical Study handled. The Trial Design domains provide rapid understanding of the Study and make the information centrally accessible and searchable. Its relatively has small number of rows of data and easy to comprehend; has standard and relatively simple data structures. The TDMs are useful for both FDA reviewers and internal sponsor use. Study PROTOCOL Experienced investigators/scientists have mostly acknowledged that prestudy planning and peer review is crucial to the scientific success of any research project.

5 The written Study protocol, is the most viable manifestation of that planning, is the anvil on which most research proposals come to be tempered. A protocol is typically the first document created when starting a clinical Trial . Although content differs from Study to Study , most protocols contain similar types of information. For example, protocols have a title and contain information about the drug under Study , Study objective(s), the Study Design ( , blinded, crossover), inclusion and exclusion criteria, and a schedule of visits with planned activities at each visit.

6 When this type of information is captured as data, rather than as simple text, it can be used throughout all stages of the process, such as when setting up the database, creating dataset metadata, and generating tables in Study reports. SIGNIFICANCE OF PROTOCOL AND ITS AMENDMENTS The clinical Trial protocol provides the Design for the Study conduct and sets out the endpoints of the Study up-front. There is clear guidance on how and when to measure and evaluate the Study endpoints. The primary endpoint usually assesses the treatment efficacy (the ability of an intervention or drug to reproduce a desired effect).

7 A Trial may also define one or more secondary endpoints. These typically include secondary efficacy measures (additional evaluations designed to assess the clinical effectiveness of the drug in controlling disease) and safety endpoints (designed to measure tolerability and safety of treatment over the period of Study ). Study Design Study Design is a critical activity in the lifecycle of a clinical research Study . It is the foundational blueprint for the execution of the Study , forming the basis for the Study protocol.

8 The Trial Design refers to the overall strategy that you choose to integrate the different components of the Study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of PhUSE 2017 2 data. The function of a Trial Design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible. TYPES OF Study Design SINGLE GROUP Design Describes a clinical Trial in which all participants receive the same intervention/ Study drug.

9 PARALLEL Design Describes a clinical Trial in which two or more groups of participants receive different interventions. For example, a two-arm parallel Design involves two groups of participants. One group receives drug A, and the other group receives drug B. So, during the Trial , participants in one group receive drug A "in parallel" to participants in the other group, who receive drug B. CROSS-OVER Design Describes a clinical Trial in which groups of participants receive two or more interventions in an order. For example, a two-by-two cross-over Design involves two groups of participants.

10 One group receives drug A during the initial phase of the Trial , followed by drug B during a later phase. The other group receives drug B during the initial phase, followed by drug A. So, during the Trial , participants "cross over" to the other drug. All participants receive drug A and drug B at some point during the Trial but in a different order, depending on the group to which they are assigned. FACTORIAL Design Describes a clinical Study in which groups of participants receive one of several combinations of interventions. For example, a two-by-two factorial Design involves four groups of participants.