Webinar Recap: Applying Advanced Analytics to Overcome CNS Trial Challenges December 20, 2021 Signant Health Posted in Data Analytics Share: LinkedInTweet If you missed Signant’s webinar on applying analytics to CNS clinical trials, you’re in luck – we’ve summarized the key takeaways for you. Metis Cognition’s Principal Consultant, Dr. John Harrison kicked things off by discussing the continued use of the MMSE for testing a potential study participant’s memory for the following inclusion criteria: the individual has a rescuable deficit, can complete selected measures, and potentially show treatment response. Harrison argues that this test alone does not include all the cognitive facets needed for a comprehensive understanding of a CNS condition like Alzheimer’s disease. Karuna Therapeutics’ Clinical Scientist, Dr. Colin Sauder, followed by discussing the growing problem of placebo response and corresponding decrease in treatment effect. By looking at endpoint data and quality indicators, teams can identify problematic sites and act to protect endpoints. Dr. Alan Kott, Signant Health’s Data Analyst Practice Leader, closed the webinar by discussing how 27% of visits are affected by data quality issues. In regards to data analytics, Dr. Kott reflects that the industry has made great strides with the adoption of electronic data collection methods, but credits machine learning capabilities for the industry-wide paradigm shift in conceptual thinking when it comes to analytics. Clinical researchers, who were once limited to reactive actions, are now able to identify future data issues and intervene before the data is even collected. In summary, CNS clinical researchers need to: Assess all relevant cognitive domainsEmploy reliable, sensitive, and valid measuresSelect measures according to expected effects, not habitMitigate placebo response by identifying problematic sites early via a Blinded Data Analytics solution You can watch the recorded webinar. Signant Health facebook twitter google-plus linkedin Signant Health is the evidence generation company. We are focused on leveraging software, deep therapeutic and scientific knowledge, and operational expertise to consistently generate quality evidence for clinical studies across traditional, virtual, and hybrid trial models. For more than 20 years, over 400 sponsors and CROs of all sizes – including all of Top 20 pharma – have trusted Signant Health solutions for remote and site-based eCOA, eConsent, IRT, supply chain management, and data quality analytics. Recent Posts Scientific Advisory 11 Perspectives on the Present and Future of Clinical Development Apr 13, 2023 Signant Health Learn more Clinical Supplies Consider Patients First in Direct-to-Patient Trial Designs Mar 31, 2023 James Stringer Learn more eCOA Clinical Viewpoints Episode 1 Recap – Optimizing Pediatric Trials to Generate High-Quality Data Feb 07, 2023 Signant Health Learn more eCOA Webinar Recap: Decentralized by Design-Optimizing Trials for Remote Conduct Feb 07, 2023 Signant Health Learn more eCOA Trial Optimization as the Focus for Decentralized Methods Dec 12, 2022 Signant Health Learn more
If you missed Signant’s webinar on applying analytics to CNS clinical trials, you’re in luck – we’ve summarized the key takeaways for you. Metis Cognition’s Principal Consultant, Dr. John Harrison kicked things off by discussing the continued use of the MMSE for testing a potential study participant’s memory for the following inclusion criteria: the individual has a rescuable deficit, can complete selected measures, and potentially show treatment response. Harrison argues that this test alone does not include all the cognitive facets needed for a comprehensive understanding of a CNS condition like Alzheimer’s disease. Karuna Therapeutics’ Clinical Scientist, Dr. Colin Sauder, followed by discussing the growing problem of placebo response and corresponding decrease in treatment effect. By looking at endpoint data and quality indicators, teams can identify problematic sites and act to protect endpoints. Dr. Alan Kott, Signant Health’s Data Analyst Practice Leader, closed the webinar by discussing how 27% of visits are affected by data quality issues. In regards to data analytics, Dr. Kott reflects that the industry has made great strides with the adoption of electronic data collection methods, but credits machine learning capabilities for the industry-wide paradigm shift in conceptual thinking when it comes to analytics. Clinical researchers, who were once limited to reactive actions, are now able to identify future data issues and intervene before the data is even collected. In summary, CNS clinical researchers need to: Assess all relevant cognitive domainsEmploy reliable, sensitive, and valid measuresSelect measures according to expected effects, not habitMitigate placebo response by identifying problematic sites early via a Blinded Data Analytics solution You can watch the recorded webinar. Signant Health facebook twitter google-plus linkedin Signant Health is the evidence generation company. We are focused on leveraging software, deep therapeutic and scientific knowledge, and operational expertise to consistently generate quality evidence for clinical studies across traditional, virtual, and hybrid trial models. For more than 20 years, over 400 sponsors and CROs of all sizes – including all of Top 20 pharma – have trusted Signant Health solutions for remote and site-based eCOA, eConsent, IRT, supply chain management, and data quality analytics.