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Author name: rhoworldcom

Blog

Successful Pediatric Investigation Plan (PIP) Application in the European Union – Part 1: Understanding the regulatory requirements

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Regulation (EC) No 1901/2006 (the “Pediatric Regulation”) introduced the obligation for Sponsors to apply for a pediatric investigation plan (PIP) early in the drug development process and conduct their pediatric clinical trials accordingly to a PIP agreed with the EMA. Compliance with the Pediatric Regulation is mandatory for any Sponsor seeking marketing authorization for a new medicinal product in the EU.

Blog

Best Practices for Hardcoding Clinical Trial Data

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In clinical trials, the accuracy and integrity of data are paramount. While the goal is to handle data systematically and programmatically, there are occasions when hardcoding becomes necessary. Note the following considerations for when to hardcode and the importance of documenting these decisions.

Blog

Bringing a Medical Device or Drug to Market-Part 2: How to Use the Request for Designation (RFD) Process to Classify Your Product

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Distinguishing between a medical device and a drug may be challenging to define for some products. We turn our attention to a crucial tool that Sponsors may use to have the FDA classify your product: the Request for Designation (RFD). In this blog, we’ll describe what an RFD entails and its significance in the regulatory realm, providing a comprehensive overview of the process.

Blog

Blinded Variance Estimation Sample Size Adjustments 

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Interim sample size adjustments and their many approaches are a frequent discussion point between Sponsors and statisticians during protocol development. One such approach is a blinded assessment of variance, favored by some Sponsors for its lack of alpha penalty. We will discuss how this method works, the pros, the cons, and if this approach might be appropriate for your protocol.

Presentation

Food Allergy Research with CDISC Standards

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In February 2024, the FDA approved a treatment for the reduction of allergic reactions to multiple foods based on results from the NIH-sponsored OUtMATCH study. Many federal studies like this one do not require CDISC standards, however in this case SDTM and ADaM were required because OUtMATCH used a commercial product and intended to submit the results for agency approval.

This presentation discusses the ways in which the SDTM tabulation process improved the overall data quality for the study, summarizes a strategy for mapping all the data collected during a food challenge data into standard SDTM domains, and explains the ADaM structures used to capture endpoints. Overall, it provides an example of a study in which the CDISC standards played a key role throughout the process and provides more specific details on applying the standards to research on food allergy treatments.

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