Cytel Blog

QPP remains at the heart of model based drug development. Short for Quantitative Pharmacology & Pharmacometrics, it refers to several types of quantitative modeling including meta-analysis, PK/PD, statistical modeling and the modeling of go-no-go decision rules. Cytel’s expert Quantitative Pharmacology and Pharmacometrics group delivers high quality solutions to help our customers get those decisions right.

In this blog we talk to Tina who lives in Stonington, Connecticut, to find out more about her career path, current role at Cytel, and her interests outside of work.

 Data is the most crucial asset in any clinical trial and is used to ultimately drive the decision-making process related to the development candidate. Therefore, for any sponsor, paying close attention to the data management aspects of clinical operations should be paramount. The principles of data management are simple and well-founded. However, the application of these principles needs careful consideration, depending on various scenarios and the size of the organization. When implementing data management for your trial, it is critical to plan ahead and fully understand all the steps and activities involved. Fortunately, both strategic and tactical opportunities are available to help sponsors successfully
implement a data management strategy, and ensure quality and simplicity in data collection to enable subsequent analysis. In this ebook,  our experienced global data management team outlines some considerations to help sponsors navigate key decisions that need to be made throughout trial implementation.

In this blog, we share a new infographic based on this popular blog post illustrating some of the critical interactions that need to take place between data management and statistics groups to help ensure efficiency and data quality. 

Data management is an essential building block for successful Immuno-Oncology (I-O) trials. At the Immuno-Oncology Clinical Trials operations meeting in New York in earlier this year,  Patti Arsenault, VP Quality Assurance at Cytel discussed with Christopher Lamplugh, AVP, Clinical Data Management, Global Data Operations at Merck, the key challenges for data management in the space, and what’s needed to overcome them. 

As we prepare to close the door on 2017, we thought we would take a look back at the  topics which have been most popular on the Cytel blog this year.  It's an interesting insight on what pain points and opportunities feature highly on our global biopharma audience's radar.  Read on to learn which of our 2017 blogs have received the most interest from our audience so far.

Cytel offers a full range of clinical data management services and the team of experts is spread across the globe.

In this blog we talk to Makarand, who is based in India, to find out more about his career path, current role at Cytel and his interests outside of work. 

The Society for Clinical Data Management (SCDM) conference landed in Orlando last week providing insights and key trends for clinical data managers from around the world.  In this blog we share an infographic of some of the agenda highlights along with a more detailed overview of our Alla Muchnik's contribution to the session Study Medication Compliance: Data Collection Challenges. 

 As a recognized expert in adaptive trials, Cytel has extensive experience designing and managing trials with interim analyses.  To ensure success in what are often complex studies, data management as well as statistical expertise is required.  Cytel data managers are well versed in the various nuances and demands of managing the successful delivery of an interim analysis from a data collection point of view. 

Success from the data management standpoint depends on three core elements- effective timeline management, thoughtful database design, and a proactive approach to data cleaning. In this blog, Patti Arsenault, our Global Head of Data Management shares her thoughts.